@conference {70247, title = {LDDMEm: Large Deformation Diffeomorphic Metric Embedding}, booktitle = {Medical Image Computing and Computer Assisted Intervention {\textendash} MICCAI 2025}, year = {2026}, month = {2026 JAN 01}, abstract = {

We present a method, open-source software, and experiments which embed arbitrary deformation vector fields produced by any method (e.g., ANTs or VoxelMorph) in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework. This decouples formal diffeomorphic shape analysis from image registration, which has many practical benefits. Shape analysis can be added to study designs without modification to already chosen image registration methods and existing databases of deformation fields can be reanalyzed within the LDDMM framework without repeating image registrations. Pairwise time series studies can be extended to full time series regression with minimal added computing. The diffeomorphic rigor of image registration methods can be compared by embedding deformation fields and comparing projection distances. Finally, the added value of formal diffeomorphic shape analysis can be more fairly evaluated when it is derived from and compared to a baseline set of deformation fields. In brief, the method is a straightforward use of geodesic shooting in diffeomorphisms with a deformation field as the target, rather than an image. This is simpler than the image registration case which leads to a faster implementation that requires fewer user derived parameters.

}, doi = {10.1007/978-3-032-04947-6_31}, url = {https://www.doi.org/10.1007/978-3-032-04947-6_31}, author = {Fleishman, Greg M. and Fletcher, P. Thomas} } @article {70264, title = {Live dynamics of induced cell-cell fusion between mitotic and interphasic cells}, journal = {bioRxiv}, year = {2026}, month = {2026 Jan 27}, abstract = {

The cell cycle is tightly regulated by checkpoint mechanisms that ensure faithful duplication and segregation of the genome. Here, we induced cell-cell fusion between mitotic and interphase cells to study how nuclei from different cell cycle stages behave in a shared cytoplasm. We found that mitosis is a dominant cell cycle state: the mitotic cytoplasm can drive interphase nuclei into mitosis, whereas, in high ratios of interphase versus mitotic nuclei, fusion forced mitotic nuclei to exit mitosis. Both outcomes represent checkpoint override events with impactful consequences. Interphase nuclei forced into mitosis form aberrant mitotic spindles, show partially condensed DNA and ultimately undergo mitotic catastrophe. Conversely, forced mitotic exit resulted in reformation of nuclear envelope membranes around condensed chromosomes, forming nuclei with a defective nuclear import machinery. Altogether, cell-cell fusion revealed an unexpected plasticity in cell cycle control and highlight cell-cell fusion experiments as a powerful experimental system to study how competing cytoplasmic states are integrated in a shared cytoplasm.

}, doi = {10.64898/2026.01.27.700572}, url = {https://www.biorxiv.org/content/early/2026/01/27/2026.01.27.700572}, author = {Afonso, Olga and Feliciano, Daniel and Lippincott-Schwartz, Jennifer} } @article {70281, title = {Live dynamics of induced cell-cell fusion between mitotic and interphasic cells}, journal = {bioRxiv}, year = {2026}, month = {2026 Jan 27}, abstract = {

The cell cycle is tightly regulated by checkpoint mechanisms that ensure faithful duplication and segregation of the genome. Here, we induced cell-cell fusion between mitotic and interphase cells to study how nuclei from different cell cycle stages behave in a shared cytoplasm. We found that mitosis is a dominant cell cycle state: the mitotic cytoplasm can drive interphase nuclei into mitosis, whereas, in high ratios of interphase versus mitotic nuclei, fusion forced mitotic nuclei to exit mitosis. Both outcomes represent checkpoint override events with impactful consequences. Interphase nuclei forced into mitosis form aberrant mitotic spindles, show partially condensed DNA and ultimately undergo mitotic catastrophe. Conversely, forced mitotic exit resulted in reformation of nuclear envelope membranes around condensed chromosomes, forming nuclei with a defective nuclear import machinery. Altogether, cell-cell fusion revealed an unexpected plasticity in cell cycle control and highlight cell-cell fusion experiments as a powerful experimental system to study how competing cytoplasmic states are integrated in a shared cytoplasm.

}, doi = {10.64898/2026.01.27.700572}, url = {https://www.biorxiv.org/content/early/2026/01/27/2026.01.27.700572}, author = {Afonso, Olga and Feliciano, Daniel and Lippincott-Schwartz, Jennifer} } @article {70282, title = {Live dynamics of induced cell-cell fusion between mitotic and interphasic cells}, journal = {bioRxiv}, year = {2026}, month = {2026 Jan 27}, abstract = {

The cell cycle is tightly regulated by checkpoint mechanisms that ensure faithful duplication and segregation of the genome. Here, we induced cell-cell fusion between mitotic and interphase cells to study how nuclei from different cell cycle stages behave in a shared cytoplasm. We found that mitosis is a dominant cell cycle state: the mitotic cytoplasm can drive interphase nuclei into mitosis, whereas, in high ratios of interphase versus mitotic nuclei, fusion forced mitotic nuclei to exit mitosis. Both outcomes represent checkpoint override events with impactful consequences. Interphase nuclei forced into mitosis form aberrant mitotic spindles, show partially condensed DNA and ultimately undergo mitotic catastrophe. Conversely, forced mitotic exit resulted in reformation of nuclear envelope membranes around condensed chromosomes, forming nuclei with a defective nuclear import machinery. Altogether, cell-cell fusion revealed an unexpected plasticity in cell cycle control and highlight cell-cell fusion experiments as a powerful experimental system to study how competing cytoplasmic states are integrated in a shared cytoplasm.

}, doi = {10.64898/2026.01.27.700572}, url = {https://www.biorxiv.org/content/early/2026/01/27/2026.01.27.700572}, author = {Afonso, Olga and Feliciano, Daniel and Lippincott-Schwartz, Jennifer} } @article {70154, title = {LARGE1 processively polymerizes length-controlled matriglycan on prodystroglycan.}, journal = {Nat Commun}, volume = {16}, year = {2025}, month = {2025 Oct 10}, pages = {9028}, abstract = {

Matriglycan is a linear glycan (xylose-β1,3-glucuronate), which binds proteins in the extracellular matrix that contain laminin-globular domains and Lassa Fever Virus. It is indispensable for neuromuscular function. Matriglycan of insufficient length can cause muscular dystrophy with abnormal brain and eye development. LARGE1 (Like-acetylglucosaminyltransferase-1) uniquely synthesizes matriglycan on dystroglycan. The mechanism of matriglycan synthesis is not obvious from cryo-EM reconstructions of LARGE1. However, by reconstituting activity in vitro on recombinant prodystroglycan we show that the presence of the dystroglycan N-terminal domain (DGN), phosphorylated core M3, and a xylose-glucuronate primer are necessary for matriglycan polymerization by LARGE1. By introducing active site mutations, we demonstrate that LARGE1 processively polymerizes matriglycan on prodystroglycan, with its length regulated by the dystroglycan prodomain, DGN. Our enzymatic analysis of LARGE1 uncovers the mechanism of matriglycan synthesis on dystroglycan, which can form the basis for therapeutic strategies to treat matriglycan-deficient neuromuscular disorders and arenaviral infections.

}, keywords = {Animals, Catalytic Domain, Cryoelectron Microscopy, Dystroglycans, Humans, N-Acetylglucosaminyltransferases, Polymerization, Polysaccharides}, issn = {2041-1723}, doi = {10.1038/s41467-025-64080-z}, url = {https://doi.org/10.1038/s41467-025-64080-z}, author = {Joseph, Soumya and Schnicker, Nicholas J and Spellmon, Nicholas and Xu, Zhen and Yan, Rui and Yu, Zhiheng and Davulcu, Omar and Yang, Tiandi and Hopkins, Jesse and Anderson, Mary E and Venzke, David and Campbell, Kevin P} } @article {70006, title = {Large-scale high-density brain-wide neural recording in nonhuman primates.}, journal = {Nat Neurosci}, year = {2025}, month = {2025 Jun 23}, abstract = {

High-density silicon probes have transformed neuroscience by enabling large-scale neural recordings at single-cell resolution. However, existing technologies have provided limited functionality in nonhuman primates (NHPs) such as macaques. In the present report, we describe the design, fabrication and performance of Neuropixels 1.0 NHP, a high-channel electrode array designed to enable large-scale acute recording throughout large animal brains. The probe features 4,416 recording sites distributed along a 45-mm shank. Experimenters can programmably select 384 recording channels, enabling simultaneous multi-area recording from thousands of neurons with single or multiple probes. This technology substantially increases scalability and recording access relative to existing technologies and enables new classes of experiments that involve electrophysiological mapping of brain areas at single-neuron and single-spike resolution, measurement of spike-spike correlations between cells and simultaneous brain-wide recordings at scale.

Preprint: https://doi.org/10.1101/2023.02.01.526664\ 

}, issn = {1546-1726}, doi = {10.1038/s41593-025-01976-5}, url = {https://doi.org/10.1038/s41593-025-01976-5}, author = {Trautmann, Eric M and Hesse, Janis K and Stine, Gabriel M and Xia, Ruobing and Zhu, Shude and O{\textquoteright}Shea, Daniel J and Karsh, Bill and Colonell, Jennifer and Lanfranchi, Frank F and Vyas, Saurabh and Zimnik, Andrew and Amematsro, Elom and Steinemann, Natalie A and Wagenaar, Daniel A and Pachitariu, Marius and Andrei, Alexandru and Lopez, Carolina Mora and O{\textquoteright}Callaghan, John and Putzeys, Jan and Raducanu, Bogdan C and Welkenhuysen, Marleen and Churchland, Mark and Moore, Tirin and Shadlen, Michael and Shenoy, Krishna and Tsao, Doris and Dutta, Barundeb and Harris, Timothy} } @article {68938, title = {Learning produces an orthogonalized state machine in the hippocampus.}, journal = {Nature}, volume = {640}, year = {2025}, month = {2025 February 12}, abstract = {

Cognitive maps confer animals with flexible intelligence by representing spatial, temporal and abstract relationships that can be used to shape thought, planning and behaviour. Cognitive maps have been observed in the hippocampus1, but their algorithmic form and learning mechanisms remain obscure. Here we used large-scale, longitudinal two-photon calcium imaging to record activity from thousands of neurons in the CA1 region of the hippocampus while mice learned to efficiently collect rewards from two subtly different linear tracks in virtual reality. Throughout learning, both animal behaviour and hippocampal neural activity progressed through multiple stages, gradually revealing improved task representation that mirrored improved behavioural efficiency. The learning process involved progressive decorrelations in initially similar hippocampal neural activity within and across tracks, ultimately resulting in orthogonalized representations resembling a state machine capturing the inherent structure of the task. This decorrelation process was driven by individual neurons acquiring task-state-specific responses (that is, {\textquoteright}state cells{\textquoteright}). Although various standard artificial neural networks did not naturally capture these dynamics, the clone-structured causal graph, a hidden Markov model variant, uniquely reproduced both the final orthogonalized states and the learning trajectory seen in animals. The observed cellular and population dynamics constrain the mechanisms underlying cognitive map formation in the hippocampus, pointing to hidden state inference as a fundamental computational principle, with implications for both biological and artificial intelligence.

}, doi = {10.1038/s41586-024-08548-w}, url = {https://doi.org/10.1038/s41586-024-08548-w}, author = {Sun, Weinan and Winnubst, Johan and Natrajan, Maanasa and Lai, Chongxi and Kajikawa, Koichiro and Michaelos, Michalis and Gattoni, Rachel and Stringer, Carsen and Flickinger, Daniel and Fitzgerald, James E and Spruston, Nelson} } @article {69577, title = {Learning reshapes the hippocampal representation hierarchy}, journal = {Proc. Natl. Acad. Sci. U.S.A.}, year = {2025}, month = {2025 Mar 10}, abstract = {

Biological neural networks seem to efficiently select and represent task-relevant features of their inputs, an ability that is highly sought after also in artificial networks. A lot of work has gone into identifying such representations in both sensory and motor systems; however, less is understood about how representations form during complex learning conditions to support behavior, especially in higher associative brain areas. Our work shows that the hippocampus maintains a robust hierarchical representation of task variables and that this structure can support new learning through minimal changes to the neural representations.

Preprint:\ https://www.doi.org/10.1101/2024.08.21.608911

}, doi = {10.1073/pnas.2417025122}, url = {https://doi.org/10.1073/pnas.2417025122}, author = {Chiossi, Heloisa S. C. and Nardin, Michele and Tka{\v c}ik, Ga{\v s}per and Csicsvari, Jozsef L.} } @article {69624, title = {Leg compliance is required to explain the ground reaction force patterns and speed ranges in different gaits}, journal = {Royal Society of Open Science}, year = {2025}, month = {2025 October 15}, abstract = {

Two simple models{\textemdash}vaulting over stiff legs and rebounding over compliant legs{\textemdash}are employed to describe the mechanics of legged locomotion. It is agreed that compliant legs are necessary for describing running, and that leg compliance is also present during walking. Stiff legs continue to be employed to model walking under the assumption that the compliance of the leg during walking is low enough to be considered stiff. Here we study gait choice and walk-to-run transition in a biped with compliance and show that the principles underlying gait choice and transition are completely different from stiff legs. Two findings underpin our conclusions: First, at the same speed, step length and stance duration, multiple gaits that differ in the number of times the leg expands and contracts during a single stance are possible. Among them, humans and other animals choose the (normal) gait with M-shaped vertical ground reaction forces (vGRF) not just because of energy considerations but also constraints from forces. Second, the transition from walking to running occurs because of three factors: vGRF minimum at mid-stance characteristic of normal walking, synchronization of horizontal and vertical motions during single support, and velocity redirection during the double support. The insight above required an analytical approximation of the double spring-loaded pendulum (DSLIP) model describing the intricate oscillatory dynamics that relate single and double support phases. Additionally, we also examined DSLIP as a quantitative model for locomotion and conclude that DSLIP speed range is limited. However, insights gleaned from the analytical treatment of DSLIP are general and will inform the construction of more accurate models of walking.

bioRxiv preprint:\ https://doi.org/10.1101/2024.09.23.612940

}, doi = {10.1098/rsos.250527}, url = {https://doi.org/10.1098/rsos.250527}, author = {Safa, Ali Tehrani and Biswas, Tirthabir and Ramakrishnan, Arun and Bhandawat, Vikas} } @article {69656, title = {Leukocytes use endothelial membrane tunnels to extravasate the vasculature}, journal = {Cell Rep}, year = {2025}, month = {2025 Sep 04}, abstract = {

Upon inflammation, leukocytes extravasate through endothelial cells. When they extravasate, it is generally accepted that neighboring endothelial cells disconnect. Careful examination of endothelial junctions showed a partial membrane overlap beyond VE-cadherin distribution. These overlaps are regulated by actin polymerization and, although marked by, do not require PECAM-1, nor VE-cadherin. Neutrophils prefer wider membrane overlaps as exit sites. Detailed 3D analysis of neutrophil transmigration in real time at high spatiotemporal resolution revealed that overlapping endothelial membranes form a tunnel during neutrophil transmigration. These tunnels are formed by the neutrophil lifting the membrane of the upper endothelial cell while indenting and crawling over the membrane of the underlying endothelial cell. Our work shows that endothelial cells do not simply retract upon the passage of neutrophils but provide membrane tunnels, allowing neutrophils to extravasate. This discovery defines the 3D multicellular architecture in which the paracellular transmigration of neutrophils occurs.

}, doi = {10.1016/j.celrep.2025.116242}, url = {https://doi.org/10.1016/j.celrep.2025.116242}, author = {van der Meer, Werner and van Steen, Abraham C.I. and Mahlandt, Eike and Rolas, Loic and Wang, Haitao and Arts, Janine and Kempers, Lanette and Gr{\"o}nloh, Max and Schoon, Rianne M. and Driessen, Amber and van Rijssel, Jos and Klaassen, Ingeborg and Schlingemann, Reinier O. and Manavski, Yosif and Hoogenboezem, Mark and Boon, Reinier A. and Khuon, Satya and Wait, Eric and Heddleston, John and Chew, Teng-Leong and Nolte, Martijn A and Nourshargh, Sussan and Goedhart, Joachim and van Buul, Jaap D} } @article {69773, title = {Live imaging of the extracellular matrix with a glycan-binding fluorophore.}, journal = {Nat Methods}, year = {2025}, month = {2025 Feb 06}, abstract = {

All multicellular systems produce and dynamically regulate extracellular matrices (ECMs) that play essential roles in both biochemical and mechanical signaling. Though the spatial arrangement of these extracellular assemblies is critical to their biological functions, visualization of ECM structure is challenging, in part because the biomolecules that compose the ECM are difficult to fluorescently label individually and collectively. Here, we present a cell-impermeable small-molecule fluorophore, termed Rhobo6, that turns on and red shifts upon reversible binding to glycans. Given that most ECM components are densely glycosylated, the dye enables wash-free visualization of ECM, in systems ranging from in vitro substrates to in vivo mouse mammary tumors. Relative to existing techniques, Rhobo6 provides a broad substrate profile, superior tissue penetration, non-perturbative labeling, and negligible photobleaching. This work establishes a straightforward method for imaging the distribution of ECM in live tissues and organisms, lowering barriers for investigation of extracellular biology.

}, issn = {1548-7105}, doi = {10.1038/s41592-024-02590-2}, url = {https://doi.org/10.1038/s41592-024-02590-2}, author = {Fiore, Antonio and Yu, Guoqiang and Northey, Jason J and Patel, Ronak and Ravenscroft, Thomas A. and Ikegami, Richard and Kolkman, W and Pratik Kumar and Dilan, Tanya L and Ruetten, Virginia M.S. and Ahrens, Misha B and Shroff, Hari and Wang, Shaohe and Weaver, Valarie M and Pedram, Kayvon} } @article {69423, title = {Live-cell single-molecule fluorescence microscopy for protruding organelles reveals regulatory mechanisms of MYO7A-driven cargo transport in stereocilia of inner ear hair cells}, journal = {Nat Commun}, year = {2025}, month = {2025 Sep 01}, abstract = {

Stereocilia are F-actin-based cylindrical protrusions on the apical surface of inner ear hair cells that function as biological mechanosensors of sound and acceleration. During stereocilia development, specific unconventional myosins transport proteins and phospholipids as cargo and mediate elongation, differentiation and acquisition of the mechanoelectrical transduction (MET). How unconventional myosins localize themselves and cargo in stereocilia using energy from ATP hydrolysis is only partially understood. Here, we developed STELLA-SPIM microscopy to visualize movement of single myosin molecules in live hair cell stereocilia. STELLA-SPIM demonstrated that MYO7A, a component of MET machinery, shows processive movement toward stereocilia tips when chemically dimerized or constitutively activated by missense mutations disabling tail-mediated autoinhibition. Conversely, MYO7A shows step-wise but not processive movement in stereocilia when its tail is tethered to the plasma membrane or F-actin in the presence of MYO7A interacting partners. We posit that MYO7A dimerizes and moves processively in stereocilia when unleashed from autoinhibition.

}, doi = {10.1038/s41467-025-63102-0}, url = {https://doi.org/10.1038/s41467-025-63102-0}, author = {Takushi Miyoshi and Harshad D Vishwasrao and Inna A Belyantseva and Mrudhula Sajeevadathan and Yasuko Ishibashi and Samuel M Adadey and Narinobu Harada and Hari Shroff and Thomas B Friedman} } @article {69955, title = {Lysosomes Signal through Epigenome to Regulate Longevity across Generations}, journal = {Science}, volume = {389}, year = {2025}, month = {2025 Sep 25}, abstract = {

Epigenome is sensitive to metabolic inputs and crucial for aging. Lysosomes emerge as a signaling hub to sense metabolic cues and regulate longevity. We unveil that lysosomal metabolic pathways signal through the epigenome to regulate transgenerational longevity in Caenorhabditis elegans. We discovered that the induction of lysosomal lipid signaling and lysosomal AMP-activated protein kinase (AMPK), or the reduction of lysosomal mechanistic-target-of-rapamycin (mTOR) signaling, increases the expression of histone H3.3 variant and elevates H3K79 methylation, leading to lifespan extension across multiple generations. This transgenerational pro-longevity effect requires intestine-to-germline transportation of H3.3 and a germline-specific H3K79 methyltransferase, and can be recapitulated by overexpressing H3.3 or the H3K79 methyltransferase. This work uncovers a lysosome-epigenome signaling axis linking soma and germline to mediate the transgenerational inheritance of longevity.

bioRxiv preprint: https://www.biorxiv.org/content/early/2025/05/23/2025.05.21.652954

}, doi = {10.1126/science.adn8754}, url = {https://doi.org/10.1126/science.adn8754}, author = {Zhang, Qinghao and Dang, Weiwei and Wang, Meng C.} } @article {69956, title = {Lysosomes signal through epigenome to regulate longevity across generations}, journal = {bioRxiv}, year = {2025}, month = {2025 May 23}, abstract = {

Epigenome is sensitive to metabolic inputs and crucial for aging. Lysosomes emerge as a signaling hub to sense metabolic cues and regulate longevity. We unveil that lysosomal metabolic pathways signal through the epigenome to regulate transgenerational longevity in Caenorhabditis elegans. We discovered that the induction of lysosomal lipid signaling and lysosomal AMP-activated protein kinase (AMPK), or the reduction of lysosomal mechanistic-target-of-rapamycin (mTOR) signaling, increases the expression of histone H3.3 variant and elevates H3K79 methylation, leading to lifespan extension across multiple generations. This transgenerational pro-longevity effect requires intestine-to-germline transportation of H3.3 and a germline-specific H3K79 methyltransferase, and can be recapitulated by overexpressing H3.3 or the H3K79 methyltransferase. This work uncovers a lysosome-epigenome signaling axis linking soma and germline to mediate the transgenerational inheritance of longevity.Competing Interest StatementThe authors have declared no competing interest.National Institutes of Health, RF1AG074540, DP1DK113644Howard Hughes Medical Institute, https://ror.org/006w34k90

}, doi = {10.1101/2025.05.21.652954}, url = {https://www.biorxiv.org/content/early/2025/05/23/2025.05.21.652954}, author = {Zhang, Qinghao and Dang, Weiwei and Wang, Meng C.} } @article {69526, title = {LarvaTagger: Manual and automatic tagging of drosophila larval behaviour.}, journal = {Bioinformatics}, year = {2024}, month = {2024 Jul 05}, abstract = {

MOTIVATION: As more behavioural assays are carried out in large-scale experiments on Drosophila larvae, the definitions of the archetypal actions of a larva are regularly refined. In addition, video recording and tracking technologies constantly evolve. Consequently, automatic tagging tools for Drosophila larval behaviour must be retrained to learn new representations from new data. However, existing tools cannot transfer knowledge from large amounts of previously accumulated data.We introduce LarvaTagger, a piece of software that combines a pre-trained deep neural network, providing a continuous latent representation of larva actions for stereotypical behaviour identification, with a graphical user interface to manually tag the behaviour and train new automatic taggers with the updated ground truth.

RESULTS: We reproduced results from an automatic tagger with high accuracy, and we demonstrated that pre-training on large databases accelerates the training of a new tagger, achieving similar prediction accuracy using less data.

AVAILABILITY: All the code is free and open source. Docker images are also available. See gitlab.pasteur.fr/nyx/LarvaTagger.jl.

SUPPLEMENTARY INFORMATION: Supplementary material is available at Bioinformatics online.

}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btae441}, author = {Laurent, Francois and Blanc, Alexandre and May, Lilly and G{\'a}ndara, Lautaro and Cocanougher, Benjamin T and Jones, Benjamin M W and Hague, Peter and Barre, Chloe and Vestergaard, Christian L and Crocker, Justin and Zlatic, Marta and Jovanic, Tihana and Masson, Jean-Baptiste} } @article {69528, title = {Lattice light sheet microscopy reveals 4D force propagation dynamics and leading-edge behaviors in an embryonic epithelium in Drosophila.}, journal = {Curr Biol}, year = {2024}, month = {2024 Jun 27}, abstract = {

How pulsed contractile dynamics drive the remodeling of cell and tissue topologies in epithelial sheets has been a key question in development and disease. Due to constraints in imaging and analysis technologies, studies that have described the in\ vivo mechanisms underlying changes in cell and neighbor relationships have largely been confined to analyses of planar apical regions. Thus, how the volumetric nature of epithelial cells affects force propagation and remodeling of the cell surface in three dimensions, including especially the apical-basal axis, is unclear. Here, we perform lattice light sheet microscopy (LLSM)-based analysis to determine how far and fast forces propagate across different apical-basal layers, as well as where topological changes initiate from in a columnar epithelium. These datasets are highly time- and depth-resolved and reveal that topology-changing forces are spatially entangled, with contractile force generation occurring across the observed apical-basal axis in a pulsed fashion, while the conservation of cell volumes constrains instantaneous cell deformations. Leading layer behaviors occur opportunistically in response to favorable phasic conditions, with lagging layers "zippering" to catch up as new contractile pulses propel further changes in cell topologies. These results argue against specific zones of topological initiation and demonstrate the importance of systematic 4D-based analysis in understanding how forces and deformations in cell dimensions propagate in a three-dimensional environment.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2024.06.017}, url = {https://www.doi.org/10.1016/j.cub.2024.06.017}, author = {Vanderleest, Timothy E and Xie, Yi and Budhathoki, Rashmi and Linvill, Katie and Hobson, Chad and Heddleston, John and Loerke, Dinah and Blankenship, J Todd} } @article {69372, title = {Leptin Activated Hypothalamic BNC2 Neurons Acutely Suppress Food Intake}, journal = {bioRxiv}, year = {2024}, month = {12 Apr 2024}, abstract = {

Leptin is an adipose tissue hormone that maintains homeostatic control of adipose tissue mass by regulating the activity of specific neural populations controlling appetite and metabolism1. Leptin regulates food intake by inhibiting orexigenic agouti-related protein (AGRP) neurons and activating anorexigenic pro-opiomelanocortin (POMC) neurons2. However, while AGRP neurons regulate food intake on a rapid time scale, acute activation of POMC neurons has only a minimal effect3{\textendash}5. This has raised the possibility that there is a heretofore unidentified leptin-regulated neural population that suppresses appetite on a rapid time scale. Here, we report the discovery of a novel population of leptin-target neurons expressing basonuclin 2 (Bnc2) that acutely suppress appetite by directly inhibiting AGRP neurons. Opposite to the effect of AGRP activation, BNC2 neuronal activation elicited a place preference indicative of positive valence in hungry but not fed mice. The activity of BNC2 neurons is finely tuned by leptin, sensory food cues, and nutritional status. Finally, deleting leptin receptors in BNC2 neurons caused marked hyperphagia and obesity, similar to that observed in a leptin receptor knockout in AGRP neurons. These data indicate that BNC2-expressing neurons are a key component of the neural circuit that maintains energy balance, thus filling an important gap in our understanding of the regulation of food intake and leptin action.

}, doi = {10.1101/2024.01.25.577315}, url = {https://www.biorxiv.org/content/early/2024/04/12/2024.01.25.577315}, author = {Han L. Tan and Luping Yin and Yuqi Tan and Jessica Ivanov and Kaja Plucinska and Anoj Ilanges and Brian R. Herb and Putianqi Wang and Christin Kosse and Paul Cohen and Dayu Lin and Jeffrey M. Friedman} } @article {69226, title = {Live-cell imaging powered by computation.}, journal = {Nature Reviews Molecular Cell Biology}, year = {2024}, month = {2024 Feb 20}, abstract = {

The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. The prevailing challenge in live-cell fluorescence microscopy is capturing intra-cellular dynamics while preserving cell viability. Computational methods can help to address this challenge and are now shifting the boundaries of what is possible to capture in living systems. In this Review, we discuss these computational methods focusing on artificial intelligence-based approaches that can be layered on top of commonly used existing microscopies as well as hybrid methods that integrate computation and microscope hardware. We specifically discuss how computational approaches can improve the signal-to-noise ratio, spatial resolution, temporal resolution and multi-colour capacity of live-cell imaging.

}, issn = {1471-0080}, doi = {10.1038/s41580-024-00702-6}, author = {Shroff, Hari and Testa, Ilaria and Jug, Florian and Manley, Suliana} } @article {69053, title = {Lactate biosensors for spectrally and spatially multiplexed fluorescence imaging.}, journal = {Nature Communications}, volume = {14}, year = {2023}, month = {2023 Oct 27}, pages = {6598}, abstract = {

L-Lactate is increasingly appreciated as a key metabolite and signaling molecule in mammals. However, investigations of the inter- and intra-cellular dynamics of L-lactate are currently hampered by the limited selection and performance of L-lactate-specific genetically encoded biosensors. Here we now report a spectrally and functionally orthogonal pair of high-performance genetically encoded biosensors: a green fluorescent extracellular L-lactate biosensor, designated eLACCO2.1, and a red fluorescent intracellular L-lactate biosensor, designated R-iLACCO1. eLACCO2.1 exhibits excellent membrane localization and robust fluorescence response. To the best of our knowledge, R-iLACCO1 and its affinity variants exhibit larger fluorescence responses than any previously reported intracellular L-lactate biosensor. We demonstrate spectrally and spatially multiplexed imaging of L-lactate dynamics by coexpression of eLACCO2.1 and R-iLACCO1 in cultured cells, and in vivo imaging of extracellular and intracellular L-lactate dynamics in mice.

}, keywords = {Animals, Biosensing Techniques, Cells, Cultured, Fluorescence Resonance Energy Transfer, Lactic Acid, Mammals, Mice, Optical Imaging}, issn = {2041-1723}, doi = {10.1038/s41467-023-42230-5}, author = {Nasu, Yusuke and Aggarwal, Abhi and Le, Giang N T and Vo, Camilla Trang and Kambe, Yuki and Wang, Xinxing and Beinlich, Felix R M and Lee, Ashley Bomin and Ram, Tina R and Wang, Fangying and Gorzo, Kelsea A and Kamijo, Yuki and Boisvert, Marc and Nishinami, Suguru and Kawamura, Genki and Ozawa, Takeaki and Toda, Hirofumi and Gordon, Grant R and Ge, Shaoyu and Hirase, Hajime and Nedergaard, Maiken and Paquet, Marie-Eve and Drobizhev, Mikhail and Podgorski, Kaspar and Campbell, Robert E} } @article {68607, title = {Large-scale brain-wide neural recording in nonhuman primates}, journal = {bioRxiv}, year = {2023}, month = {2023 Feb 04}, abstract = {

High-density, integrated silicon electrodes have begun to transform systems neuroscience, by enabling large-scale neural population recordings with single cell resolution. Existing technologies, however, have provided limited functionality in nonhuman primate species such as macaques, which offer close models of human cognition and behavior. Here, we report the design, fabrication, and performance of Neuropixels 1.0-NHP, a high channel count linear electrode array designed to enable large-scale simultaneous recording in superficial and deep structures within the macaque or other large animal brain. These devices were fabricated in two versions: 4416 electrodes along a 45 mm shank, and 2496 along a 25 mm shank. For both versions, users can programmably select 384 channels, enabling simultaneous multi-area recording with a single probe. We demonstrate recording from over 3000 single neurons within a session, and simultaneous recordings from over 1000 neurons using multiple probes. This technology represents a significant increase in recording access and scalability relative to existing technologies, and enables new classes of experiments involving fine-grained electrophysiological characterization of brain areas, functional connectivity between cells, and simultaneous brain-wide recording at scale.

}, doi = {10.1101/2023.02.01.526664}, url = {https://doi.org/10.1101/2023.02.01.526664}, author = {Eric M. Trautmann and Janis K. Hesse and Gabriel M. Stine and Ruobing Xia and Shude Zhu and Daniel J. O{\textquoteright}Shea and Bill Karsh and Jennifer Colonell and Frank F. Lanfranchi and Saurabh Vyas and Andrew Zimnik and Natalie A. Steinmann and Daniel A. Wagenaar and Alexandru Andrei and Carolina Mora Lopez and John O{\textquoteright}Callaghan and Jan Putzeys and Bogdan C. Raducanu and Marleen Welkenhuysen and Mark Churchland and Tirin Moore and Michael Shadlen and Krishna Shenoy and Doris Tsao and Barundeb Dutta and Timothy Harris} } @article {68774, title = {A leaky integrate-and-fire computational model based on the connectome of the entire adult Drosophila brain reveals insights into sensorimotor processing}, journal = {bioRxiv}, year = {2023}, month = {2023 May 02}, abstract = {

The forthcoming assembly of the adult\ Drosophila melanogaster\ central brain connectome, containing over 125,000 neurons and 50 million synaptic connections, provides a template for examining sensory processing throughout the brain. Here, we create a leaky integrate-and-fire computational model of the entire\ Drosophila\ brain, based on neural connectivity and neurotransmitter identity, to study circuit properties of feeding and grooming behaviors. We show that activation of sugar-sensing or water-sensing gustatory neurons in the computational model accurately predicts neurons that respond to tastes and are required for feeding initiation. Computational activation of neurons in the feeding region of the\ Drosophila\ brain predicts those that elicit motor neuron firing, a testable hypothesis that we validate by optogenetic activation and behavioral studies. Moreover, computational activation of different classes of gustatory neurons makes accurate predictions of how multiple taste modalities interact, providing circuit-level insight into aversive and appetitive taste processing. Our computational model predicts that the sugar and water pathways form a partially shared appetitive feeding initiation pathway, which our calcium imaging and behavioral experiments confirm. Additionally, we applied this model to mechanosensory circuits and found that computational activation of mechanosensory neurons predicts activation of a small set of neurons comprising the antennal grooming circuit that do not overlap with gustatory circuits, and accurately describes the circuit response upon activation of different mechanosensory subtypes. Our results demonstrate that modeling brain circuits purely from connectivity and predicted neurotransmitter identity generates experimentally testable hypotheses and can accurately describe complete sensorimotor transformations.

}, doi = {10.1101/2023.05.02.539144}, url = {https://doi.org/10.1101/2023.05.02.539144}, author = {Philip K. Shiu and Gabriella R. Sterne and Nico Spiller and Romain Franconville and Andrea Sandoval and Joie Zhou and Neha Simha and Chan Hyuk Kang and Seongbong Yu and Jinseop S. Kim and Sven Dorkenwald and Arie Matsliah and Philipp Schlegel and Szi-chieh Yu and Claire E. McKellar and Amy Sterling and Marta Costa and Katharina Eichler and Gregory S.X.E. Jefferis and Mala Murthy and Alexander Shakeel Bates and Nils Eckstein and Jan Funke and Salil S. Bidaye and Stefanie Hampel and Andrew M. Seeds and Kristin Scott} } @article {68771, title = {Lipid flipping in the omega-3 fatty-acid transporter.}, journal = {Nature Communications}, volume = {14}, year = {2023}, month = {2023 May 08}, pages = {2571}, abstract = {

Mfsd2a is the transporter for docosahexaenoic acid (DHA), an omega-3 fatty acid, across the blood brain barrier (BBB). Defects in Mfsd2a are linked to ailments from behavioral and motor dysfunctions to microcephaly. Mfsd2a transports long-chain unsaturated fatty-acids, including DHA and α-linolenic acid (ALA), that are attached to the zwitterionic lysophosphatidylcholine (LPC) headgroup. Even with the recently determined structures of Mfsd2a, the molecular details of how this transporter performs the energetically unfavorable task of translocating and flipping lysolipids across the lipid bilayer remains unclear. Here, we report five single-particle cryo-EM structures of Danio rerio Mfsd2a (drMfsd2a): in the inward-open conformation in the ligand-free state and displaying lipid-like densities modeled as ALA-LPC at four distinct\ positions. These Mfsd2a snapshots detail the flipping mechanism for lipid-LPC from outer to inner membrane leaflet and release for membrane integration on the cytoplasmic side. These results also map Mfsd2a mutants that disrupt lipid-LPC transport and are associated with disease.

}, keywords = {Biological Transport, Blood-Brain Barrier, Docosahexaenoic Acids, Fatty Acids, Omega-3, Lysophosphatidylcholines, Membrane Transport Proteins, Symporters}, issn = {2041-1723}, doi = {10.1038/s41467-023-37702-7}, author = {Nguyen, Chi and Lei, Hsiang-Ting and Lai, Louis Tung Faat and Gallenito, Marc J and Mu, Xuelang and Matthies, Doreen and Gonen, Tamir} } @article {68564, title = {Local shape descriptors for neuron segmentation.}, journal = {Nature Methods}, volume = {20}, year = {2023}, month = {2023 Feb 01}, pages = {295-303}, abstract = {

We present an auxiliary learning task for the problem of neuron segmentation in electron microscopy volumes. The auxiliary task consists of the prediction of local shape descriptors (LSDs), which we combine with conventional voxel-wise direct neighbor affinities for neuron boundary detection. The shape descriptors capture local statistics about the neuron to be segmented, such as diameter, elongation, and direction. On a study comparing several existing methods across various specimen, imaging techniques, and resolutions, auxiliary learning of LSDs consistently increases segmentation accuracy of affinity-based methods over a range of metrics. Furthermore, the addition of LSDs promotes affinity-based segmentation methods to be on par with the current state of the art for neuron segmentation (flood-filling networks), while being two orders of magnitudes more efficient-a critical requirement for the processing of future petabyte-sized datasets.

}, issn = {1548-7105}, doi = {10.1038/s41592-022-01711-z}, author = {Sheridan, Arlo and Nguyen, Tri M and Deb, Diptodip and Lee, Wei-Chung Allen and Saalfeld, Stephan and Turaga, Srinivas C and Manor, Uri and Funke, Jan} } @article {68922, title = {Localization of fixed dipoles at high precision by accounting for sample drift during illumination}, journal = {Applied Physics Letters}, volume = {123}, year = {2023}, month = {2023 Jul 13}, abstract = {

Single molecule localization microscopy relies on the precise quantification of the position of single dye emitters in a sample. This precision is improved by the number of photons that can be detected from each molecule. Particularly recording at cryogenic temperatures dramatically reduces photobleaching and would, hence, in principle, allow the user to massively increase the illumination time to several seconds. The downside of long illuminations, however, would be image blur due to inevitable jitter or drift occurring during the illuminations, which deteriorates the localization precision. In this paper, we theoretically demonstrate that a parallel recording of the fiducial marker beads together with a fitting approach accounting for the full drift trajectory allows for largely eliminating drift effects for drift magnitudes of several hundred nanometers per frame. We showcase the method for linear and diffusional drift as well as oscillations, assuming fixed dipole orientations during each illumination.

}, issn = {0003-6951}, doi = {10.1063/5.0137834}, url = {https://doi.org/10.1063/5.0137834}, author = {Hinterer, Fabian and Schneider, Magdalena C. and Hubmer, Simon and L{\'o}pez-Mart{\'\i}nez, Montserrat and Ramlau, Ronny and Sch{\"u}tz, Gerhard J.} } @article {69009, title = {Low-latency extracellular spike assignment for high-density electrodes at single-neuron resolution}, journal = {bioRxiv}, year = {2023}, month = {2023 Sep 15}, abstract = {

Real-time neural signal processing is essential for brain-machine interfaces and closed-loop neuronal perturbations. However, most existing applications sacrifice cell-specific identity and temporal spiking information for speed. We developed a hybrid hardware-software system that utilizes a Field Programmable Gate Array (FPGA) chip to acquire and process data in parallel, enabling individual spikes from many simultaneously recorded neurons to be assigned single-neuron identities with 1-millisecond latency. The FPGA assigns labels, validated with ground-truth data, by comparing multichannel spike waveforms from tetrode or silicon probe recordings to a spike-sorted model generated offline in software. This platform allowed us to rapidly inactivate a region in vivo based on spikes from an upstream neuron before these spikes could excite the downstream region. Furthermore, we could decode animal location within 3 ms using data from a population of individual hippocampal neurons. These results demonstrate our system{\textquoteright}s suitability for a broad spectrum of research and clinical applications.

}, doi = {10.1101/2023.09.14.557854}, url = {https://doi.org/10.1101/2023.09.14.557854}, author = {Chongxi Lai and Dohoung Kim and Brian Lustig and Shinsuke Tanaka and Brian Barbarits and Lakshmi Narayan and Jennifer Colonell and Ole Paulsen and Albert K. Lee and Timothy D. Harris} } @article {68935, title = {Lysosomal release of amino acids at ER three-way junctions regulates transmembrane and secretory protein mRNA translation.}, journal = {bioRxiv}, year = {2023}, month = {2023 Aug 03}, abstract = {

One-third of the mammalian proteome is comprised of transmembrane and secretory proteins that are synthesized on endoplasmic reticulum (ER). Here, we investigate the spatial distribution and regulation of mRNAs encoding these membrane and secretory proteins (termed "secretome" mRNAs) through live cell, single molecule tracking to directly monitor the position and translation states of secretome mRNAs on ER and their relationship to other organelles. Notably, translation of secretome mRNAs occurred preferentially near lysosomes on ER marked by the ER junction-associated protein, Lunapark. Knockdown of Lunapark reduced the extent of secretome mRNA translation without affecting translation of other mRNAs. Less secretome mRNA translation also occurred when lysosome function was perturbed by raising lysosomal pH or inhibiting lysosomal proteases. Secretome mRNA translation near lysosomes was enhanced during amino acid deprivation. Addition of the integrated stress response inhibitor, ISRIB, reversed the translation inhibition seen in Lunapark knockdown cells, implying an eIF2 dependency. Altogether, these findings uncover a novel coordination between ER and lysosomes, in which local release of amino acids and other factors from ER-associated lysosomes patterns and regulates translation of mRNAs encoding secretory and membrane proteins.

}, doi = {10.1101/2023.08.01.551382}, author = {Choi, Heejun and Liao, Ya-Cheng and Yoon, Young J and Grimm, Jonathan and Lavis, Luke D and Singer, Robert H and Lippincott-Schwartz, Jennifer} } @article {68366, title = {Learning of probabilistic punishment as a model of anxiety produces changes in action but not punisher encoding in the dmPFC and VTA.}, journal = {eLife}, volume = {11}, year = {2022}, month = {2022 Sep 14}, abstract = {

Previously, we developed a novel model for anxiety during motivated behavior by training rats to perform a task where actions executed to obtain a reward were probabilistically punished and observed that after learning, neuronal activity in the ventral tegmental area (VTA) and dorsomedial prefrontal cortex (dmPFC) represent the relationship between action and punishment risk (Park \& Moghaddam, 2017). Here we used male and female rats to expand on the previous work by focusing on neural changes in the dmPFC and VTA that were associated with the learning of probabilistic punishment, and anxiolytic treatment with diazepam after learning. We find that adaptive neural responses of dmPFC and VTA during the learning of anxiogenic contingencies are independent from the punisher experience and occur primarily during the peri-action and reward period. Our results also identify peri-action ramping of VTA neural calcium activity, and VTA-dmPFC correlated activity, as potential markers for the anxiolytic properties of diazepam.

}, issn = {2050-084X}, doi = {10.7554/eLife.78912}, author = {Jacobs, David S and Allen, Madeleine C and Park, Junchol and Moghaddam, Bita} } @article {67306, title = {Learning to represent continuous variables in heterogeneous neural networks}, journal = {Cell Reports}, volume = {39}, year = {2022}, month = {2022 Apr 05}, pages = {110612}, abstract = {

Manifold attractors are a key framework for understanding how continuous variables, such as position or head direction, are encoded in the brain. In this framework, the variable is represented along a continuum of persistent neuronal states which forms a manifold attactor. Neural networks with symmetric synaptic connectivity that can implement manifold attractors have become the dominant model in this framework. In addition to a symmetric connectome, these networks imply homogeneity of individual-neuron tuning curves and symmetry of the representational space; these features are largely inconsistent with neurobiological data. Here, we developed a theory for computations based on manifold attractors in trained neural networks and show how these manifolds can cope with diverse neuronal responses, imperfections in the geometry of the manifold and a high level of synaptic heterogeneity. In such heterogeneous trained networks, a continuous representational space emerges from a small set of stimuli used for training. Furthermore, we find that the network response to external inputs depends on the geometry of the representation and on the level of synaptic heterogeneity in an analytically tractable and interpretable way. Finally, we show that a too complex geometry of the neuronal representation impairs the attractiveness of the manifold and may lead to its destabilization. Our framework reveals that continuous features can be represented in the recurrent dynamics of heterogeneous networks without assuming unrealistic symmetry. It suggests that the representational space of putative manifold attractors in the brain dictates the dynamics in their vicinity.

}, doi = {10.1016/j.celrep.2022.110612}, url = {https://doi.org/10.1016/j.celrep.2022.110612}, author = {Ran Darshan and Alexander Rivkind} } @article {68471, title = {Leveraging the model-experiment loop: Examples from cellular slime mold chemotaxis.}, journal = {Exp Cell Res}, volume = {418}, year = {2022}, month = {09/2022}, pages = {113218}, abstract = {

Interplay between models and experimental data advances discovery and understanding in biology, particularly when models generate predictions that allow well-designed experiments to distinguish between alternative mechanisms. To illustrate how this feedback between models and experiments can lead to key insights into biological mechanisms, we explore three examples from cellular slime mold chemotaxis. These examples include studies that identified chemotaxis as the primary mechanism behind slime mold aggregation, discovered that cells likely measure chemoattractant gradients by sensing concentration differences across cell length, and tested the role of cell-associated chemoattractant degradation in shaping chemotactic fields. Although each study used a different model class appropriate to their hypotheses - qualitative, mathematical, or simulation-based - these examples all highlight the utility of modeling to formalize assumptions and generate testable predictions. A central element of this framework is the iterative use of models and experiments, specifically: matching experimental designs to the models, revising models based on mismatches with experimental data, and validating critical model assumptions and predictions with experiments. We advocate for continued use of this interplay between models and experiments to advance biological discovery.

}, keywords = {Chemotactic Factors, Chemotaxis, Computer Simulation, Dictyosteliida, Dictyostelium, Models, Biological}, issn = {1090-2422}, doi = {10.1016/j.yexcr.2022.113218}, author = {Zhu, Xinwen and Hager, Emily R and Huyan, Chuqiao and Sgro, Allyson E} } @article {68021, title = {Long-term imaging reveals behavioral plasticity during C. elegans dauer exit}, journal = {BMC Biology}, volume = {20}, year = {2022}, month = {2022 Dec 13}, pages = {277}, abstract = {

During their lifetime, animals must adapt their behavior to survive in changing environments. This ability requires the nervous system to adjust through dynamic expression of neurotransmitters and receptors but also through growth, spatial reorganization and connectivity while integrating external stimuli. For instance, despite having a fixed neuronal cell lineage, the nematode\ Caenorhabditis elegans{\textquoteright}\ nervous system remains plastic throughout its development. Here, we focus on a specific example of nervous system plasticity, the\ C. elegans\ dauer exit decision. Under unfavorable conditions, larvae will enter the non-feeding and non-reproductive dauer stage and adapt their behavior to cope with a new environment. Upon improved conditions, this stress resistant developmental stage is actively reversed to resume reproductive development. However, how different environmental stimuli regulate the exit decision mechanism and thereby drive the larva{\textquoteright}s behavioral change is unknown. To fill this gap, we developed a new open hardware method for long-term imaging (12h) of\ C. elegans\ larvae. We identified dauer-specific behavioral motifs and characterized the behavioral trajectory of dauer exit in different environments to identify key decision points. Combining long-term behavioral imaging with transcriptomics, we find that bacterial ingestion triggers a change in neuropeptide gene expression to establish post-dauer behavior. Taken together, we show how a developing nervous system can robustly integrate environmental changes, activate a developmental switch and adapt the organism{\textquoteright}s behavior to a new environment.

}, doi = {10.1186/s12915-022-01471-4}, url = {https://doi.org/10.1186/s12915-022-01471-4}, author = {Friedrich Preusser and Anika Neuschulz and Jan Philipp Junker and Nikolaus Rajewsky and Stephan Preibisch} } @article {68476, title = {Label-free imaging of fibroblast membrane interfaces and protein signatures with vibrational infrared photothermal and phase signals.}, journal = {Biomed Opt Express}, volume = {12}, year = {2021}, month = {12/2020}, pages = {303-319}, abstract = {

Label-free vibrational imaging of biological samples has attracted significant interest due to its integration of structural and chemical information. Vibrational infrared photothermal amplitude and phase signal (VIPPS) imaging provide label-free chemical identification by targeting the characteristic resonances of biological compounds that are present in the mid-infrared fingerprint region (3 {\textmu}m - 12 {\textmu}m). High contrast imaging of subcellular features and chemical identification of protein secondary structures in unlabeled and labeled fibroblast cells embedded in a collagen-rich extracellular matrix is demonstrated by combining contrast from absorption signatures (amplitude signals) with sensitive detection of different heat properties (lock-in phase signals). We present that the detectability of nano-sized cell membranes is enhanced to well below the optical diffraction limit since the membranes are found to act as thermal barriers. VIPPS offers a novel combination of chemical imaging and thermal diffusion characterization that paves the way towards label-free imaging of cell models and tissues as well as the study of intracellular heat dynamics.

}, issn = {2156-7085}, doi = {10.1364/BOE.411888}, author = {Samolis, Panagis D and Langley, Daniel and O{\textquoteright}Reilly, Breanna M and Oo, Zay and Hilzenrat, Geva and Erramilli, Shyamsunder and Sgro, Allyson E and McArthur, Sally and Sander, Michelle Y} } @article {66021, title = {The level of oncogenic Ras determines the malignant transformation of Lkb1 mutant tissue in vivo.}, journal = {Communications Biology}, volume = {4}, year = {2021}, month = {2021 Jan 29}, pages = {142}, abstract = {

The genetic and metabolic heterogeneity of RAS-driven cancers has confounded therapeutic strategies in the clinic. To address this, rapid and genetically tractable animal models are needed that recapitulate the heterogeneity of RAS-driven cancers in vivo. Here, we generate a Drosophila melanogaster model of Ras/Lkb1 mutant carcinoma. We show that low-level expression of oncogenic Ras (Ras) promotes the survival of Lkb1 mutant tissue, but results in autonomous cell cycle arrest and non-autonomous overgrowth of wild-type tissue. In contrast, high-level expression of oncogenic Ras (Ras) transforms Lkb1 mutant tissue resulting in lethal malignant tumors. Using simultaneous multiview light-sheet microcopy, we have characterized invasion phenotypes of Ras/Lkb1 tumors in living larvae. Our molecular analysis reveals sustained activation of the AMPK pathway in malignant Ras/Lkb1 tumors, and demonstrate the genetic and pharmacologic dependence of these tumors on CaMK-activated Ampk. We further show that LKB1 mutant human lung adenocarcinoma patients with high levels of oncogenic KRAS exhibit worse overall survival and increased AMPK activation. Our results suggest that high levels of oncogenic KRAS is a driving event in the malignant transformation of LKB1 mutant tissue, and uncovers a vulnerability that may be used to target this aggressive genetic subset of RAS-driven tumors.

}, issn = {2399-3642}, doi = {10.1038/s42003-021-01663-8}, author = {Rackley, Briana and Seong, Chang-Soo and Kiely, Evan and Parker, Rebecca E and Rupji, Manali and Dwivedi, Bhakti and Heddleston, John M and Giang, William and Anthony, Neil and Chew, Teng-Leong and Gilbert-Ross, Melissa} } @article {67792, title = {Light sheet fluorescence microscopy.}, journal = {Nature Reviews Methods Primers}, volume = {1}, year = {2021}, month = {2021 Nov 03}, abstract = {

Light sheet fluorescence microscopy (LSFM) uses a thin sheet of light to excite only fluorophores within the focal volume. Light sheet microscopes (LSMs) have a true optical sectioning capability and, hence, provide axial resolution, restrict photobleaching and phototoxicity to a fraction of the sample and use cameras to record tens to thousands of images per second. LSMs are used for in-depth analyses of large, optically cleared samples and long-term three-dimensional (3D) observations of live biological specimens at high spatio-temporal resolution. The independently operated illumination and detection trains and the canonical implementations, selective/single plane illumination microscope (SPIM) and digital scanned laser microscope (DSLM), are the basis for many LSM designs. In this Primer, we discuss various applications of LSFM for imaging multicellular specimens, developing vertebrate and invertebrate embryos, brain and heart function, 3D cell culture models, single cells, tissue sections, plants, organismic interaction and entire cleared brains. Further, we describe the combination of LSFM with other imaging approaches to allow for super-resolution or increased penetration depth and the use of sophisticated spatio-temporal manipulations to allow for observations along multiple directions. Finally, we anticipate developments of the field in the near future.

}, doi = {10.1038/s43586-021-00069-4}, url = {https://www.nature.com/articles/s43586-021-00069-4}, author = {Stelzer, Ernst H. K. and Strobl, Frederic and Chang, Bo-Jui and Preusser, Friedrich and Preibisch, Stephan and McDole, Katie and Fiolka, Reto} } @article {67339, title = {Lipid droplets in the nervous system.}, journal = {Journal of Cell Biology}, volume = {220}, year = {2021}, month = {2021 Jul 05}, abstract = {

Lipid droplets are dynamic intracellular lipid storage organelles that respond to the physiological state of cells. In addition to controlling cell metabolism, they play a protective role for many cellular stressors, including oxidative stress. Despite prior descriptions of lipid droplets appearing in the brain as early as a century ago, only recently has the role of lipid droplets in cells found in the brain begun to be understood. Lipid droplet functions have now been described for cells of the nervous system in the context of development, aging, and an increasing number of neuropathologies. Here, we review the basic mechanisms of lipid droplet formation, turnover, and function and discuss how these mechanisms enable lipid droplets to function in different cell types of the nervous system under healthy and pathological conditions.

}, issn = {1540-8140}, doi = {10.1083/jcb.202102136}, author = {Ralhan, Isha and Chang, Chi-Lun and Lippincott-Schwartz, Jennifer and Ioannou, Maria S} } @article {67309, title = {Live and Let Dye.}, journal = {Biochemistry}, year = {2021}, month = {2021 Jun 07}, abstract = {

The measurement of ion concentrations and fluxes inside living cells is key to understanding cellular physiology. Fluorescent indicators that can infiltrate and provide intel on the cellular environment are critical tools for biological research. Developing these molecular informants began with the seminal work of Racker and colleagues ( (1979) 18, 2210), who demonstrated the passive loading of fluorescein in living cells to measure changes in intracellular pH. This work continues, employing a mix of old and new tradecraft to create innovative agents for monitoring ions inside living systems.

}, issn = {1520-4995}, doi = {10.1021/acs.biochem.1c00299}, author = {Lavis, Luke D} } @article {67228, title = {Local Shape Descriptors for Neuron Segmentation}, journal = {bioRxiv}, year = {2021}, month = {2021/01}, abstract = {

We present a simple, yet effective, auxiliary learning task for the problem of neuron segmentation in electron microscopy volumes. The auxiliary task consists of the prediction of Local Shape Descriptors (LSDs), which we combine with conventional voxel-wise direct neighbor affinities for neuron boundary detection. The shape descriptors are designed to capture local statistics about the neuron to be segmented, such as diameter, elongation, and direction. On a large study comparing several existing methods across various specimen, imaging techniques, and resolutions, we find that auxiliary learning of LSDs consistently increases segmentation accuracy of affinity-based methods over a range of metrics. Furthermore, the addition of LSDs promotes affinitybased segmentation methods to be on par with the current state of the art for neuron segmentation (Flood-Filling Networks, FFN), while being two orders of magnitudes more efficient{\textemdash}a critical requirement for the processing of future petabyte-sized datasets. Implementations of the new auxiliary learning task, network architectures, training, prediction, and evaluation code, as well as the datasets used in this study are publicly available as a benchmark for future method contributions.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2021.01.18.427039}, url = {https://www.biorxiv.org/content/early/2021/01/18/2021.01.18.427039}, author = {Sheridan, Arlo and Nguyen, Tri and Deb, Diptodip and Lee, Wei-Chung Allen and Saalfeld, Stephan and Turaga, Srini and Manor, Uri and Funke, Jan} } @article {67313, title = {Locating Macromolecular Assemblies in Cells by 2D Template Matching with TEM.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Jun 11}, abstract = {

For a more complete understanding of molecular mechanisms, it is important to study macromolecules and their assemblies in the broader context of the cell. This context can be visualized at nanometer resolution in three dimensions (3D) using electron cryo-tomography, which requires tilt series to be recorded and computationally aligned, currently limiting throughput. Additionally, the high-resolution signal preserved in the raw tomograms is currently limited by a number of technical difficulties, leading to an increased false-positive detection rate when using 3D template matching to find molecular complexes in tomograms. We have recently described a 2D template matching approach that addresses these issues by including high-resolution signal preserved in single-tilt images. A current limitation of this approach is the high computational cost that limits throughput. We describe here a GPU-accelerated implementation of 2D template matching in the image processing software TEM that allows for easy scaling and improves the accessibility of this approach. We apply 2D template matching to identify ribosomes in images of frozen-hydrated cells with high precision and sensitivity, demonstrating that this is a versatile tool for visual proteomics and structure determination. We benchmark the results with 3D template matching of tomograms acquired on identical sample locations and identify strengths and weaknesses of both techniques, which offer complementary information about target localization and identity.

}, issn = {2050-084X}, doi = {10.7554/eLife.68946}, author = {Lucas, Bronwyn A and Himes, Benjamin A and Xue, Liang and Grant, Tim and Mahamid, Julia and Grigorieff, Nikolaus} } @article {67738, title = {The LRRK2 G2019S mutation alters astrocyte-to-neuron communication via extracellular vesicles and induces neuron atrophy in a human iPSC-derived model of Parkinson{\textquoteright}s disease}, journal = {eLife}, year = {2021}, month = {2021 Sep 30}, abstract = {

Astrocytes are essential cells of the central nervous system, characterized by dynamic relationships with neurons that range from functional metabolic interactions and regulation of neuronal firing activities, to the release of neurotrophic and neuroprotective factors. In Parkinson{\textquoteright}s disease (PD), dopaminergic neurons are progressively lost during the course of the disease, but the effects of PD on astrocytes and astrocyte-to-neuron communication remains largely unknown. This study focuses on the effects of the PD-related mutation LRRK2 G2019S in astrocytes generated from patient-derived induced pluripotent stem cells. We report the alteration of extracellular vesicle (EV) biogenesis in astrocytes, and we identify the abnormal accumulation of key PD-related proteins within multi vesicular bodies (MVBs). We found that dopaminergic neurons internalize astrocyte-secreted EVs and that LRRK2 G2019S EVs are abnormally enriched in neurites and fail to provide full neurotrophic support to dopaminergic neurons. Thus, dysfunctional astrocyte-to-neuron communication via altered EV biological properties may participate in the progression of PD.

}, doi = {https://doi.org/10.7554/eLife.73062}, author = {Aurelie de Rus Jacquet and Jenna L. Tancredi and Andrew L. Lemire and Michael C. DeSantis and Wei-Ping Li and Erin K. O{\textquoteright}Shea} } @article {67271, title = {Lupus susceptibility region containing CDKN1B rs34330 mechanistically influences expression and function of multiple target genes, also linked to proliferation and apoptosis.}, journal = {Arthritis Rheumatology}, volume = {73}, year = {2021}, month = {2021 Dec 01}, pages = {2303-13}, abstract = {

OBJECTIVE: A recent genome-wide association study (GWAS) reported a significant genetic association between rs34330 of cyclin-dependent kinase inhibitor 1B (CDKN1B) and risk of systemic lupus erythematosus (SLE) in Han Chinese. This study aims to validate the reported association and elucidate the biochemical mechanisms underlying the variant{\textquoteright}s effect.

METHODS: We performed allelic association with SLE followed by meta-analysis across 11 independent cohorts (n=28,872). We applied in silico bioinformatics and experimental validation in SLE-relevant cell lines to determine the functional consequences of rs34330.

RESULTS: We replicated genetic association between SLE and rs34330 (P =5.29x10 , OR (95\% CI)=0.84 (0.81-0.87)). Follow-up bioinformatics and eQTL analysis suggest that rs34330 is located in active chromatin and potentially regulates several target genes. Using luciferase and ChIP-qPCR, we demonstrated substantial allele-specific promoter and enhancer activity, and allele-specific binding of three histone marks (H3K27ac, H3K4me3, H3K4me1), RNA pol II, CTCF, and a critical immune transcription factor (IRF-1). Chromosome conformation capture (3C) detected long-range chromatin interactions between rs34330 and the promoters of neighboring genes APOLD1 and DDX47, and effects on CDKN1B and the other target genes were directly validated by CRISPR-based genome editing. Finally, CRISPR-dCas9-based epigenetic activation/silencing confirmed these results. Gene-edited cell lines also showed higher levels of proliferation and apoptosis.

CONCLUSION: Collectively, these findings suggest a mechanism whereby the rs34330 risk allele (C) influences the presence of histone marks, RNA pol II, and the IRF-1 transcription factor to regulate expression of several target genes linked to proliferation and apoptosis, which potentially underlie the association of rs34330 with SLE.

}, issn = {2326-5205}, doi = {10.1002/art.41799}, author = {Singh, Bhupinder and Maiti, Guru P and Zhou, Xujie and Fazel-Najafabadi, Mehdi and Bae, Sang-Cheol and Sun, Celi and Terao, Chikashi and Okada, Yukinori and Chua, Kek Heng and Kochi, Yuta and Guthridge, Joel M and Zhang, Hong and Weirauch, Matthew and James, Judith A and Harley, John B and Varshney, Gaurav K and Looger, Loren L and Nath, Swapan K} } @article {65362, title = {A large genomic insertion containing a duplicated follistatin gene is linked to the pea aphid male wing dimorphism.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Mar 06}, abstract = {

Wing dimorphisms have long served as models for examining the ecological and evolutionary tradeoffs associated with alternative phenotypes. Here, we investigated the genetic cause of the pea aphid () male wing dimorphism, wherein males exhibit one of two morphologies that differ in correlated traits that include the presence or absence of wings. We mapped this trait difference to a single genomic region and, using third generation, long-read sequencing, we identified a 120 kb insertion in the wingless allele. This insertion includes a duplicated gene, which is a strong candidate gene in the minimal mapped interval to cause the dimorphism. We found that both alleles were present prior to pea aphid biotype lineage diversification, we estimated that the insertion occurred millions of years ago, and we propose that both alleles have been maintained in the species, likely due to balancing selection.

}, issn = {2050-084X}, doi = {10.7554/eLife.50608}, author = {Li, Binshuang and Bickel, Ryan D and Parker, Benjamin J and Saleh Ziabari, Omid and Liu, Fangzhou and Vellichirammal, Neetha Nanoth and Simon, Jean-Christophe and Stern, David L and Brisson, Jennifer A} } @article {68842, title = {Latent Feature Representation via Unsupervised Learning for Pattern Discovery in Massive Electron Microscopy Image Volumes}, journal = {arXiv}, year = {2020}, month = {2020 Dec 22}, abstract = {

We propose a method to facilitate exploration and analysis of new large data sets. In particular, we give an unsupervised deep learning approach to learning a latent representation that captures semantic similarity in the data set. The core idea is to use data augmentations that preserve semantic meaning to generate synthetic examples of elements whose feature representations should be close to one another.
We demonstrate the utility of our method applied to nano-scale electron microscopy data, where even relatively small portions of animal brains can require terabytes of image data. Although supervised methods can be used to predict and identify known patterns of interest, the scale of the data makes it difficult to mine and analyze patterns that are not known a priori. We show the ability of our learned representation to enable query by example, so that if a scientist notices an interesting pattern in the data, they can be presented with other locations with matching patterns. We also demonstrate that clustering of data in the learned space correlates with biologically-meaningful distinctions. Finally, we introduce a visualization tool and software ecosystem to facilitate user-friendly interactive analysis and uncover interesting biological patterns. In short, our work opens possible new avenues in understanding of and discovery in large data sets, arising in domains such as EM analysis.

}, doi = {10.48550/arXiv.2012.12175}, url = {http://doi.org/10.48550/arXiv.2012.12175}, author = {Gary B Huang and Huei-Fang Yang and Shin-ya Takemura and Pat Rivlin and Stephen M Plaza} } @article {65366, title = {Layer 6b Is driven by intracortical long-range projection neurons.}, journal = {Cell Reports}, volume = {30}, year = {2020}, month = {2020 Mar 10}, pages = {3492 - 3505.e5}, abstract = {

Layer 6b (L6b), the deepest neocortical layer, projects to cortical targets and higher-order thalamus and is the only layer responsive to the wake-promoting neuropeptide orexin/hypocretin. These characteristics suggest that L6b can strongly modulate brain state, but projections to L6b and their influence remain unknown. Here, we examine the inputs to L6b\ ex\ vivo\ in the mouse primary somatosensory cortex with rabies-based retrograde tracing and channelrhodopsin-assisted circuit mapping in brain slices. We find that L6b receives its strongest excitatory input from intracortical long-range projection neurons, including those in the contralateral hemisphere. In contrast, local intracortical input and thalamocortical input were significantly weaker. Moreover, our data suggest that L6b receives far less thalamocortical input than other cortical layers. L6b was most strongly inhibited by PV and SST interneurons. This study shows that L6b integrates long-range intracortical information and is not part of the traditional thalamocortical loop.

}, issn = {22111247}, doi = {10.1016/j.celrep.2020.02.044}, url = {https://linkinghub.elsevier.com/retrieve/pii/S2211124720302059}, author = {Zolnik, Timothy A. and Ledderose, Julia and Toumazou, Maria and Trimbuch, Thorsten and Oram, Tess and Rosenmund, Christian and Eickholt, Britta J. and Sachdev, Robert N.S. and Larkum, Matthew E.} } @conference {67227, title = {Learning Guided Electron Microscopy with Active Acquisition}, booktitle = {Medical Image Computing and Computer Assisted Intervention {\textendash} MICCAI 2020}, year = {2020}, month = {10/2020}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {

Single-beam scanning electron microscopes (SEM) are widely used to acquire massive datasets for biomedical study, material analysis, and fabrication inspection. Datasets are typically acquired with uniform acquisition: applying the electron beam with the same power and duration to all image pixels, even if there is great variety in the pixels{\textquoteright} importance for eventual use. Many SEMs are now able to move the beam to any pixel in the field of view without delay, enabling them, in principle, to invest their time budget more effectively with non-uniform imaging.

}, isbn = {978-3-030-59722-1}, url = {https://link.springer.com/chapter/10.1007/978-3-030-59722-1_8}, author = {Mi, Lu and Wang, Hao and Meirovitch, Yaron and Schalek, Richard and Turaga, Srinivas C. and Lichtman, Jeff W. and Samuel, Aravinthan D. T. and Shavit, Nir}, editor = {Martel, Anne L. and Abolmaesumi, Purang and Stoyanov, Danail and Mateus, Diana and Zuluaga, Maria A. and Zhou, S. Kevin and Racoceanu, Daniel and Joskowicz, Leo} } @article {65824, title = {Linking axon morphology to gene expression: a strategy for neuronal cell-type classification.}, journal = {Current Opinion in Neurobiology}, volume = {65}, year = {2020}, month = {2020 Dec 01}, pages = {70-76}, abstract = {

To study how the brain drives cognition and behavior we need to understand its cellular composition. Advances in single-cell transcriptomics have revolutionized our ability to characterize neuronal diversity. To arrive at meaningful descriptions of cell types, however, gene expression must be linked to structural and functional properties. Axonal projection patterns are an appropriate measure, as they are diverse, change only gradually over time, and they influence and constrain circuit function. Here, we consider how efforts to map transcriptional and morphological diversity in the mouse brain could be linked to generate a modern taxonomy of the mouse brain.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2020.10.006}, author = {Winnubst, Johan and Spruston, Nelson and Harris, Julie A} } @article {65908, title = {Linking axon morphology to gene expression: a strategy for neuronal cell-type classification.}, journal = {Current Opinion in Neurobiology}, volume = {65}, year = {2020}, month = {2020 Dec 01}, pages = {70-76}, abstract = {

To study how the brain drives cognition and behavior we need to understand its cellular composition. Advances in single-cell transcriptomics have revolutionized our ability to characterize neuronal diversity. To arrive at meaningful descriptions of cell types, however, gene expression must be linked to structural and functional properties. Axonal projection patterns are an appropriate measure, as they are diverse, change only gradually over time, and they influence and constrain circuit function. Here, we consider how efforts to map transcriptional and morphological diversity in the mouse brain could be linked to generate a modern taxonomy of the mouse brain.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2020.10.006}, author = {Winnubst, Johan and Spruston, Nelson and Harris, Julie A} } @article {65624, title = {Live-cell imaging in the era of too many microscopes.}, journal = {Current Opinion in Cell Biology}, volume = {66}, year = {2020}, month = {2020 May 26}, pages = {34-42}, abstract = {

At the time of this writing, searching Google Scholar for {\textquoteright}light-sheet microscopy{\textquoteright} returns almost 8500 results; over three-quarters of which were published in the last 5 years alone. Searching for other advanced imaging methods in the last 5 years yields similar results: {\textquoteright}super-resolution microscopy{\textquoteright} (\>16 000), {\textquoteright}single-molecule imaging{\textquoteright} (almost 10 000), SPIM (Single Plane Illumination Microscopy, 5000), and {\textquoteright}lattice light-sheet{\textquoteright} (1300). The explosion of new imaging methods has also produced a dizzying menagerie of acronyms, with over 100 different species of {\textquoteright}light-sheet{\textquoteright} alone, from SPIM to UM (Ultra microscopy) to SiMView (Simultaneous MultiView) to iSPIM (inclined SPIM, not to be confused with iSPIM, inverted SPIM). How then is the average biologist, without an advanced degree in physics, optics, or computer science supposed to make heads or tails of which method is best suited for their needs? Let us also not forget the plight of the optical physicist, who at best might need help with obtaining healthy samples and keeping them that way, or at worst may not realize the impact their newest technique could have for biologists. This review will not attempt to solve all\ these problems, but instead highlight some of the most recent, successful mergers between biology and advanced imaging technologies, as well as hopefully provide some guidance for anyone interested in journeying into the world of live-cell imaging.

}, issn = {1879-0410}, doi = {10.1016/j.ceb.2020.04.008}, author = {Lemon, William C and McDole, Katie} } @article {65581, title = {Live-cell single particle imaging reveals the role of RNA polymerase II in histone H2A.Z eviction.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Apr 27}, abstract = {

The H2A.Z histone variant, a genome-wide hallmark of permissive chromatin, is enriched near transcription start sites in all eukaryotes. H2A.Z is deposited by the SWR1 chromatin remodeler and evicted by unclear mechanisms. We tracked H2A.Z in living yeast at single-molecule resolution, and found that H2A.Z eviction is dependent on RNA Polymerase II (Pol II) and the Kin28/Cdk7 kinase, which phosphorylates Serine 5 of heptapeptide repeats on the carboxy-terminal domain of the largest Pol II subunit Rpb1. These findings link H2A.Z eviction to transcription initiation, promoter escape and early elongation activities of Pol II. Because passage of Pol II through +1 nucleosomes genome-wide would obligate H2A.Z turnover, we propose that global transcription at yeast promoters is responsible for eviction of H2A.Z. Such usage of yeast Pol II suggests a general mechanism coupling eukaryotic transcription to erasure of the H2A.Z epigenetic signal.

}, issn = {2050-084X}, doi = {10.7554/eLife.55667}, author = {Ranjan, Anand and Nguyen, Vu Q and Liu, Sheng and Wisniewski, Jan and Kim, Jee Min and Tang, Xiaona and Mizuguchi, Gaku and Elalaoui, Ejlal and Nickels, Timothy J and Jou, Vivian and English, Brian P and Zheng, Qinsi and Luk, Ed and Lavis, Luke D and Lionnet, Timoth{\'e}e and Wu, Carl} } @article {66016, title = {Lysosome-targeting chimaeras for degradation of extracellular proteins}, journal = {Nature}, volume = {584}, year = {2020}, month = {Jan-08-2021}, pages = {291 - 297}, abstract = {

The majority of therapies that target individual proteins rely on specific activity-modulating interactions with the target protein{\textemdash}for example, enzyme inhibition or ligand blocking. However, several major classes of therapeutically relevant proteins have unknown or inaccessible activity profiles and so cannot be targeted by such strategies. Protein-degradation platforms such as proteolysis-targeting chimaeras (PROTACs)1,2\ and others (for example, dTAGs3, Trim-Away4, chaperone-mediated autophagy targeting5\ and SNIPERs6) have been developed for proteins that are typically difficult to target; however, these methods involve the manipulation of intracellular protein degradation machinery and are therefore fundamentally limited to proteins that contain cytosolic domains to which ligands can bind and recruit the requisite cellular components. Extracellular and membrane-associated proteins{\textemdash}the products of 40\% of all protein-encoding genes7{\textemdash}are key agents in cancer, ageing-related diseases and autoimmune disorders8, and so a general strategy to selectively degrade these proteins has the potential to improve human health. Here we establish the targeted degradation of extracellular and membrane-associated proteins using conjugates that bind both a cell-surface lysosome-shuttling receptor and the extracellular domain of a target protein. These initial lysosome-targeting chimaeras, which we term LYTACs, consist of a small molecule or antibody fused to chemically synthesized glycopeptide ligands that are agonists of the cation-independent mannose-6-phosphate receptor (CI-M6PR). We use LYTACs to develop a CRISPR interference screen that reveals the biochemical pathway for CI-M6PR-mediated cargo internalization in cell lines, and uncover the exocyst complex as a previously unidentified{\textemdash}but essential{\textemdash}component of this pathway. We demonstrate the scope of this platform through the degradation of therapeutically relevant proteins, including apolipoprotein\ E4, epidermal growth factor receptor, CD71 and programmed death-ligand 1. Our results establish a modular strategy for directing secreted and membrane proteins for lysosomal degradation, with broad implications for biochemical research and for therapeutics.

}, issn = {0028-0836}, doi = {10.1038/s41586-020-2545-9}, url = {http://www.nature.com/articles/s41586-020-2545-9http://www.nature.com/articles/s41586-020-2545-9.pdfhttp://www.nature.com/articles/s41586-020-2545-9.pdfhttp://www.nature.com/articles/s41586-020-2545-9}, author = {Banik, Steven M. and Pedram, Kayvon and Wisnovsky, Simon and Ahn, Green and Riley, Nicholas M. and Bertozzi, Carolyn R.} } @article {48806, title = {Large scale image segmentation with structured loss based deep learning for connectome reconstruction.}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {41}, year = {2019}, month = {2019 Jul 1}, pages = {1669-80}, abstract = {

We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-net, trained to predict affinities between voxels, followed by iterative region agglomeration. We train using a structured loss based on MALIS, encouraging topologically correct segmentations obtained from affinity thresholding. Our extension consists of two parts: First, we present a quasi-linear method to compute the loss gradient, improving over the original quadratic algorithm. Second, we compute the gradient in two separate passes to avoid spurious gradient contributions in early training stages. Our predictions are accurate enough that simple learning-free percentile-based agglomeration outperforms more involved methods used earlier on inferior predictions. We present results on three diverse EM datasets, achieving relative improvements over previous results of 27\%, 15\%, and 250\%. Our findings suggest that a single method can be applied to both nearly isotropic block-face EM data and anisotropic serial sectioned EM data. The runtime of our method scales linearly with the size of the volume and achieves a throughput of ~2.6 seconds per megavoxel, qualifying our method for the processing of very large datasets.

}, doi = {10.1109/TPAMI.2018.2835450}, author = {Funke, Jan and Tschopp, Fabian D and Grisaitis, William and Sheridan, Arlo and Singh, Chandan and Saalfeld, Stephan and Turaga, Srinivas C} } @article {65171, title = {Learning from action: reconsidering movement signaling in midbrain dopamine neuron activity.}, journal = {Neuron}, volume = {104}, year = {2019}, month = {2019 Oct 09}, pages = {63-77}, abstract = {

Animals infer when and where a reward is available from experience with informative sensory stimuli and their own actions. In vertebrates, this is thought to depend upon the release of dopamine from midbrain dopaminergic neurons. Studies of the role of dopamine have focused almost exclusively on their encoding of informative sensory stimuli; however, many dopaminergic neurons are active just prior to movement initiation, even in the absence of sensory stimuli. How should current frameworks for understanding the role of dopamine incorporate these observations? To address this question, we review recent anatomical and functional evidence for action-related dopamine signaling. We conclude by proposing a framework in which dopaminergic neurons encode subjective signals of action initiation to solve an internal credit assignment problem.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2019.08.036}, author = {Coddington, Luke T and Dudman, Joshua T} } @article {65057, title = {Light-sheet microscopy and its potential for understanding developmental processes.}, journal = {Annual Review of Cell and Developmental Biology}, volume = {35}, year = {2019}, month = {2019 Oct 6}, pages = {655-81}, abstract = {

The ability to visualize and quantitatively measure dynamic biological processes in vivo and at high spatiotemporal resolution is of fundamental importance to experimental investigations in developmental biology. Light-sheet microscopy is particularly well suited to providing such data, since it offers exceptionally high imaging speed and good spatial resolution while minimizing light-induced damage to the specimen. We review core principles and recent advances in light-sheet microscopy, with a focus on concepts and implementations relevant for applications in developmental biology. We discuss how light-sheet microcopy has helped advance our understanding of developmental processes from single-molecule to whole-organism studies, assess the potential for synergies with other state-of-the-art technologies, and introduce methods for computational image and data analysis. Finally, we explore the future trajectory of light-sheet microscopy, discuss key efforts to disseminate new light-sheet technology, and identify exciting opportunities for further advances.

}, issn = {1530-8995}, doi = {10.1146/annurev-cellbio-100818-125311}, author = {Wan, Yinan and McDole, Katie and Keller, Philipp J} } @article {64863, title = {A lipid-based partitioning mechanism for selective incorporation of proteins into membranes of HIV particles.}, journal = {Nature Cell Biology}, volume = {21}, year = {2019}, month = {2019 Apr}, pages = {452-461}, abstract = {

Particles that bud off from the cell surface, including viruses and microvesicles, typically have a unique membrane protein composition distinct from that of the originating plasma membrane. This selective protein composition enables viruses to evade the immune response and infect other cells. But how membrane proteins sort into budding viruses such as human immunodeficiency virus (HIV) remains unclear. Proteins could passively distribute into HIV-assembly-site membranes producing compositions resembling pre-existing plasma-membrane domains. Here, we demonstrate that proteins instead sort actively into HIV-assembly-site membranes, generating compositions enriched in cholesterol and sphingolipids that undergo continuous remodeling. Proteins are recruited into and removed from the HIV assembly site through lipid-based partitioning, initiated by oligomerization of the HIV structural protein Gag. Changes in membrane curvature at the assembly site further amplify this sorting process. Thus, a lipid-based sorting mechanism, aided by increasing membrane curvature, generates the unique membrane composition of the HIV surface.

}, issn = {1476-4679}, doi = {10.1038/s41556-019-0300-y}, author = {Sengupta, Prabuddha and Seo, Arnold Y and Pasolli, H Amalia and Song, Yul Eum and Johnson, Marc and Lippincott-Schwartz, Jennifer} } @article {65040, title = {Local synaptic inputs support opposing, network-specific odor representations in a widely projecting modulatory neuron.}, journal = {eLife}, volume = {8}, year = {2019}, month = {2 Jul 2019}, abstract = {

Serotonin plays different roles across networks within the same sensory modality. Previously, we used whole-cell electrophysiology in\ Drosophila\ to show that serotonergic neurons innervating the first olfactory relay are inhibited by odorants (Zhang and Gaudry, 2016). Here we show that network-spanning serotonergic neurons segregate information about stimulus features, odor intensity and identity, by using opposing coding schemes in different olfactory neuropil. A pair of serotonergic neurons (the CSDns) innervate the antennal lobe and lateral horn, which are first and second order neuropils. CSDn processes in the antennal lobe are inhibited by odors in an identity independent manner. In the lateral horn, CSDn processes are excited in an odor identity dependent manner. Using functional imaging, modeling, and EM reconstruction, we demonstrate that antennal lobe derived inhibition arises from local GABAergic inputs and acts as a means of gain control on branch specific inputs that the CSDns receive within the lateral horn.

}, doi = {10.7554/eLife.46839}, url = {https://elifesciences.org/articles/46839https://cdn.elifesciences.org/articles/46839/elife-46839-v1.pdfhttps://cdn.elifesciences.org/articles/46839/elife-46839-v1.xml}, author = {Zhang, Xiaonan and Coates, Kaylynn and Dacks, Andrew M and Gunay, Cengiz and Lauritzen, J Scott and Li, Feng and Calle-Schuler, Steven A and Bock, Davi and Gaudry, Quentin} } @article {64547, title = {Looking back and looking forward at Janelia.}, journal = {eLife}, volume = {8}, year = {2019}, month = {2019 Feb07}, pages = {e44826}, abstract = {

Starting a new research campus is a leap of faith. Only later, in the full measure of time, is it possible to take stock of what has worked and what could have been done better or differently. The Janelia Research Campus opened its doors 12 years ago. What has it achieved? What has it taught us? And where does Janelia go from here?

}, doi = {10.7554/eLife.44826}, author = {Rubin, Gerald M and O{\textquoteright}Shea, Erin K} } @article {64995, title = {Lamellar junctions in the endolymphatic sac act as a relief valve to regulate inner ear pressure.}, journal = {eLife}, year = {2018}, month = {2018 Jun 19}, doi = {10.7554/eLife.37131}, author = {Ian A. Swinburne and Kishore R. Mosaliganti and Srigokul Upadhyayula and Tsung-Li Liu and David G. C. Hildebrand and Tony Y.-C. Tsai and Anzhi Chen and Ebaa Al-Obeidi and Anna K. Fass and Samir Malhotra and Florian Engert and Jeff W. Lichtman and Tom Kirchhausen and Sean G. Megason and Eric Betzig} } @article {49275, title = {Lamellar projections in the endolymphatic sac act as a relief valve to regulate inner ear pressure.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Jun 19}, abstract = {

The inner ear is a fluid-filled closed-epithelial structure whose function requires maintenance of an internal hydrostatic pressure and fluid composition. The endolymphatic sac (ES) is a dead-end epithelial tube connected to the inner ear whose function is unclear. ES defects can cause distended ear tissue, a pathology often seen in hearing and balance disorders. Using live imaging of zebrafish larvae, we reveal that the ES undergoes cycles of slow pressure-driven inflation followed by rapid deflation. Absence of these cycles in mutants leads to distended ear tissue. Using serial-section electron microscopy and adaptive optics lattice light-sheet microscopy, we find a pressure relief valve in the ES comprised of partially separated apical junctions and dynamic overlapping basal lamellae that separate under pressure to release fluid. We propose that this lmx1-dependent pressure relief valve is required to maintain fluid homeostasis in the inner ear and other fluid-filled cavities.

}, issn = {2050-084X}, doi = {10.7554/eLife.37131}, author = {Swinburne, Ian A and Mosaliganti, Kishore R and Upadhyayula, Srigokul and Liu, Tsung-Li and Hildebrand, David G C and Tsai, Tony Y-C and Chen, Anzhi and Al-Obeidi, Ebaa and Fass, Anna K and Malhotra, Samir and Engert, Florian and Lichtman, Jeff W and Kirchausen, Tomas and Betzig, Eric and Megason, Sean G} } @article {48937, title = {larvalign: Aligning gene expression patterns from the larval brain of Drosophila melanogaster.}, journal = {Neuroinformatics}, volume = {16}, year = {2018}, month = {2018 Jan 1}, pages = {65-80}, abstract = {

The larval brain of the fruit fly Drosophila melanogaster is a small, tractable model system for neuroscience. Genes for fluorescent marker proteins can be expressed in defined, spatially restricted neuron populations. Here, we introduce the methods for 1) generating a standard template of the larval central nervous system (CNS), 2) spatial mapping of expression patterns from different larvae into a reference space defined by the standard template. We provide a manually annotated gold standard that serves for evaluation of the registration framework involved in template generation and mapping. A method for registration quality assessment enables the automatic detection of registration errors, and a semi-automatic registration method allows one to correct registrations, which is a prerequisite for a high-quality, curated database of expression patterns. All computational methods are available within the larvalign software package: https://github.com/larvalign/larvalign/releases/tag/v1.0.

}, issn = {1559-0089}, doi = {10.1007/s12021-017-9349-6}, author = {Muenzing, Sascha E A and Strauch, Martin and Truman, James W and B{\"u}hler, Katja and Thum, Andreas S and Merhof, Dorit} } @article {49232, title = {Lineage-guided Notch-dependent gliogenesis by multi-potent progenitors.}, journal = {Development (Cambridge, England)}, year = {2018}, month = {2018 May 15}, abstract = {

Macroglial cells in the central nervous system exhibit regional specialization and carry out region-specific functions. Diverse glial cells arise from specific progenitors in specific spatiotemporal patterns. This raises an interesting possibility that there exist glial precursors with distinct developmental fates, which govern region-specific gliogenesis. Here we mapped the glial progeny produced by the type II neuroblasts, which, like vertebrate radial glia cells, yield both neurons and glia via intermediate neural progenitors (INPs). Distinct type II neuroblasts produce different characteristic sets of glia. A single INP can make both astrocyte-like and ensheathing glia, which co-occupy a relatively restrictive subdomain. Blocking apoptosis uncovers further lineage distinctions in the specification, proliferation, and survival of glial precursors. Both the switch from neurogenesis to gliogenesis and the subsequent glial expansion depend on Notch signaling. Taken together, lineage origins preconfigure the development of individual glial precursors with involvement of serial Notch actions in promoting gliogenesis.

}, issn = {1477-9129}, doi = {10.1242/dev.160127}, author = {Ren, Qingzhong and Awasaki, Takeshi and Wang, Yu-Chun and Huang, Yu-Fen and Lee, Tzumin} } @article {68435, title = {Linking neuronal lineage and wiring specificity.}, journal = {Neural Dev}, volume = {13}, year = {2018}, month = {04/2018}, pages = {5}, abstract = {

Brain function requires precise neural circuit assembly during development. Establishing a functional circuit involves multiple coordinated steps ranging from neural cell fate specification to proper matching between pre- and post-synaptic partners. How neuronal lineage and birth timing influence wiring specificity remains an open question. Recent findings suggest that the relationships between lineage, birth timing, and wiring specificity vary in different neuronal circuits. In this review, we summarize our current understanding of the cellular, molecular, and developmental mechanisms linking neuronal lineage and birth timing to wiring specificity in a few specific systems in Drosophila and mice, and review different methods employed to explore these mechanisms.

}, keywords = {Animals, Brain, Cell Lineage, Neural Pathways, Neurons}, issn = {1749-8104}, doi = {10.1186/s13064-018-0102-0}, author = {Li, Hongjie and Shuster, S Andrew and Li, Jiefu and Luo, Liqun} } @article {49473, title = {Long-Term Consolidation of Ensemble Neural Plasticity Patterns in Hippocampal Area CA1.}, journal = {Cell reports}, volume = {25}, year = {2018}, month = {2018 Oct 16}, pages = {640-650.e2}, abstract = {

Neural network remodeling underpins the ability to remember life experiences, but little is known about the long-term plasticity of neural populations. To study how the brain encodes episodic events, we used time-lapse two-photon microscopy and a fluorescent reporter of neural plasticity based on an enhanced form of the synaptic activity-responsive element (E-SARE) within the Arc promoter to track thousands of CA1 hippocampal pyramidal cells over weeks in mice that repeatedly encountered different environments. Each environment evokes characteristic patterns of ensemble neural plasticity, but with each encounter, the set of activated cells gradually evolves. After repeated exposures, the plasticity patterns evoked by an individual environment progressively stabilize. Compared with young adults, plasticity patterns in aged mice are less specific to individual environments and less stable across repeat experiences. Long-term consolidation of hippocampal plasticity patterns may support long-term memory formation, whereas weaker consolidation in aged subjects might reflect declining memory function.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2018.09.064}, author = {Attardo, Alessio and Lu, Ju and Kawashima, Takashi and Okuno, Hiroyuki and Fitzgerald, James E and Bito, Haruhiko and Schnitzer, Mark J} } @article {49124, title = {Low-dimensional and monotonic preparatory activity in mouse anterior lateral motor cortex.}, journal = {The Journal of Neuroscience : the official journal of the Society for Neuroscience}, volume = {38}, year = {2018}, month = {2018 Apr 25}, pages = {4163-85}, abstract = {

Neurons in multiple brain regions fire trains of action potentials anticipating specific movements, but this {\textquoteright}preparatory activity{\textquoteright} has not been systematically compared across behavioral tasks. We compared preparatory activity in auditory and tactile delayed-response tasks in male mice. Skilled, directional licking was the motor output. The anterior lateral motor cortex (ALM) is necessary for motor planning in both tasks. Multiple features of ALM preparatory activity during the delay epoch were similar across tasks. First, majority of neurons showed direction-selective activity and spatially intermingled neurons were selective for either movement direction. Second, many cells showed mixed coding of sensory stimulus and licking direction, with a bias toward licking direction. Third, delay activity was monotonic and low-dimensional. Fourth, pairs of neurons with similar direction selectivity showed high spike-count correlations. Our study forms the foundation to analyze the neural circuit mechanisms underlying preparatory activity in a genetically tractable model organism.Short-term memories link events separated in time. Neurons in frontal cortex fire trains of action potentials anticipating specific movements, often seconds before the movement. This {\textquoteright}preparatory activity{\textquoteright} has been observed in multiple brain regions, but has rarely been compared systematically across behavioral tasks in the same brain region. To identify common features of preparatory activity, we developed and compared preparatory activity in auditory and tactile delayed-response tasks in mice. The same cortical area is necessary for both tasks. Multiple features of preparatory activity, measured with high-density silicon probes, were similar across tasks. We find that preparatory activity is low-dimensional and monotonic. Our study forms the foundation to analyze the circuit mechanisms underlying preparatory activity in a genetically tractable model organism.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3152-17.2018}, author = {Inagaki, Hidehiko K and Inagaki, Miho and Romani, Sandro and Svoboda, Karel} } @article {48434, title = {Live-cell super-resolution reveals F-Actin and plasma membrane dynamics at the T Cell synapse.}, journal = {Biophysical Journal}, volume = {112}, year = {2017}, month = {2017 Apr 25}, pages = {1703-13}, abstract = {

The cortical actin cytoskeleton has been shown to be critical for the reorganization and heterogeneity of plasma membrane components of many cells, including T\ cells. Building on previous studies at the T\ cell immunological synapse, we quantitatively assess the structure and dynamics of this meshwork using live-cell superresolution fluorescence microscopy and spatio-temporal image correlation spectroscopy. We show for the first time, to our knowledge, that not only does the dense actin cortex flow in a retrograde fashion toward the synapse center, but the plasma membrane itself shows similar behavior. Furthermore, using two-color, live-cell superresolution cross-correlation spectroscopy, we demonstrate that the two flows are correlated and, in addition, we show that coupling may extend to the outer leaflet of the plasma membrane by examining the flow of GPI-anchored proteins. Finally, we demonstrate that the actin flow is correlated with a third component,\ α-actinin, which upon CRISPR knockout led to reduced plasma membrane flow directionality despite increased actin flow velocity. We hypothesize that this apparent cytoskeletal-membrane coupling could provide a mechanism for driving the observed retrograde flow of signaling molecules such as the TCR, Lck, ZAP70, LAT, and SLP76.

}, doi = {10.1016/j.bpj.2017.01.038}, author = {Ashdown, George W and Burn, Garth L and Williamson, David J and Pandzic, Elvis and Peters, Ruby and Holden, Michael and Ewers, Helge and Shao, Lin and Wiseman, Paul W and Owen, Dylan M} } @article {68760, title = {Localized Lysosome Exocytosis Helps Breach Tissue Barriers}, journal = {Developmental Cell}, volume = {43}, year = {2017}, month = {11/2017}, pages = {377-378}, abstract = {

Cell invasion across basement membrane barriers is important in both normal development and cancer metastasis. In this issue of Developmental Cell, Naegeli et\ al. (2017) identify a mechanism for breaching basement membranes. Localized lysosome exocytosis fuels generation of large, invasive cellular protrusions that expand tiny basement membrane openings.

}, issn = {1534-5807}, doi = {https://doi.org/10.1016/j.devcel.2017.11.005}, url = {https://www.sciencedirect.com/science/article/pii/S1534580717309097}, author = {Shaohe Wang and Kenneth M. Yamada} } @article {48219, title = {Long-range self-organization of cytoskeletal myosin II filament stacks.}, journal = {Nature Cell Biology}, volume = {19}, year = {2017}, month = {2017 Jan 23}, pages = {133-41}, abstract = {

Although myosin II filaments are known to exist in non-muscle cells, their dynamics and organization are incompletely understood. Here, we combined structured illumination microscopy with pharmacological and genetic perturbations, to study the process of actomyosin cytoskeleton self-organization into arcs and stress fibres. A striking feature of the myosin II filament organization was their {\textquoteright}registered{\textquoteright} alignment into stacks, spanning up to several micrometres in the direction orthogonal to the parallel actin bundles. While turnover of individual myosin II filaments was fast (characteristic half-life time 60 s) and independent of actin filament turnover, the process of stack formation lasted a longer time (in the range of several minutes) and required myosin II contractility, as well as actin filament assembly/disassembly and crosslinking (dependent on formin Fmnl3, cofilin1 and α-actinin-4). Furthermore, myosin filament stack formation involved long-range movements of individual myosin filaments towards each other suggesting the existence of attractive forces between myosin II filaments. These forces, possibly transmitted via mechanical deformations of the intervening actin filament network, may in turn remodel the actomyosin cytoskeleton and drive its self-organization.

}, issn = {1476-4679}, doi = {10.1038/ncb3466}, author = {Hu, Shiqiong and Dasbiswas, Kinjal and Guo, Zhenhuan and Tee, Yee-Han and Thiagarajan, Visalatchi and Hersen, Pascal and Chew, Teng-Leong and Safran, Samuel A and Zaidel-Bar, Ronen and Bershadsky, Alexander D} } @article {48605, title = {Low-complexity domains adhere by reversible amyloid-like interactions between kinked β-sheets.}, journal = {bioRxiv}, year = {2017}, month = {2017 Jun 22}, abstract = {

Control of metabolism by compartmentation is a widespread feature of higher cells. Recent studies have focused on dynamic intracellular bodies such as stress granules, P-bodies, nucleoli, and metabolic puncta. These bodies appear as separate phases, some containing reversible, amyloid-like fibrils formed by interactions of low-complexity protein domains. Here we report five atomic structures of segments of low-complexity domains from granule-forming proteins, one determined to 1.1 {\r A} resolution by micro-electron diffraction. Four of these interacting protein segments show common characteristics, all in contrast to pathogenic amyloid: kinked peptide backbones, small surface areas of interaction, and predominate attractions between aromatic side-chains. By computationally threading the human proteome on three of our kinked structures, we identified hundreds of low-complexity segments potentially capable of forming such reversible interactions. These segments are found in proteins as diverse as RNA binders, nuclear pore proteins, keratins, and cornified envelope proteins, consistent with the capacity of cells to form a wide variety of dynamic intracellular bodies.

}, doi = {10.1101/153817}, author = {Hughes, Michael P and Sawaya, Michael R and Goldschmidt, Lukasz and Rodriguez, Jose A and Cascio, Duilio and Gonen, Tamir and Eisenberg, David S} } @article {48801, title = {Labeling cellular structures in vivo using confined primed conversion of photoconvertible fluorescent proteins.}, journal = {Nature Protocols}, volume = {11}, year = {2016}, month = {2016 Dec}, pages = {2419-2431}, abstract = {

The application of green-to-red photoconvertible fluorescent proteins (PCFPs) for in vivo studies in complex 3D tissue structures has remained limited because traditional near-UV photoconversion is not confined in the axial dimension, and photomodulation using axially confined, pulsed near-IR (NIR) lasers has proven inefficient. Confined primed conversion is a dual-wavelength continuous-wave (CW) illumination method that is capable of axially confined green-to-red photoconversion. Here we present a protocol to implement this technique with a commercial confocal laser-scanning microscope (CLSM); evaluate its performance on an in vitro setup; and apply primed conversion for in vivo labeling of single cells in developing zebrafish and mouse preimplantation embryos expressing the green-to-red photoconvertible protein Dendra2. The implementation requires a basic understanding of laser-scanning microscopy, and it can be performed within a single day once the required filter cube is manufactured.

}, keywords = {Animals, Light, Luminescent Proteins, Mice, Microscopy, Confocal, Staining and Labeling, Zebrafish}, issn = {1750-2799}, doi = {10.1038/nprot.2016.134}, author = {Mohr, Manuel Alexander and Argast, Paul and Pantazis, Periklis} } @article {47551, title = {A large field of view two-photon mesoscope with subcellular resolution for in vivo imaging.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Jun 14}, pages = {e14472}, abstract = {

Imaging is used to map activity across populations of neurons. Microscopes with cellular resolution have small (\<1 millimeter) fields of view and cannot simultaneously image activity distributed across multiple brain areas. Typical large field of view microscopes do not resolve single cells, especially in the axial dimension. We developed a 2-photon random access mesoscope (2p-RAM) that allows high-resolution imaging anywhere within a volume spanning multiple brain areas (∅ 5 mm x 1 mm cylinder). 2p-RAM resolution is near diffraction limited (lateral, 0.66 μm, axial 4.09 μm at the center; excitation wavelength = 970 nm; numerical aperture = 0.6) over a large range of excitation wavelengths. A fast three-dimensional scanning system allows efficient sampling of neural activity in arbitrary regions of interest across the entire imaging volume. We illustrate the use of the 2p-RAM by imaging neural activity in multiple, non-contiguous brain areas in transgenic mice expressing protein calcium sensors.

}, issn = {2050-084X}, doi = {10.7554/eLife.14472}, author = {Sofroniew, Nicholas James and Flickinger, Daniel and King, Jonathon and Svoboda, Karel} } @article {47599, title = {A large fraction of neocortical myelin ensheathes axons of local inhibitory neurons.}, journal = {eLife}, year = {2016}, month = {2016 Jul 6}, abstract = {

Myelin is best known for its role in increasing the conduction velocity and metabolic efficiency of long-range excitatory axons. Accordingly, the myelin observed in neocortical gray matter is thought to mostly ensheath excitatory axons connecting to subcortical regions and distant cortical areas. Using independent analyses of light and electron microscopy data from mouse neocortex, we show that a surprisingly large fraction of cortical myelin (half the myelin in layer 2/3 and a quarter in layer 4) ensheathes axons of inhibitory neurons, specifically of parvalbumin-positive basket cells. This myelin differs significantly from that of excitatory axons in distribution and protein composition. Myelin on inhibitory axons is unlikely to meaningfully hasten the arrival of spikes at their pre-synaptic terminals, due to the patchy distribution and short path-lengths observed. Our results thus highlight the need for exploring alternative roles for myelin in neocortical circuits.

}, doi = {10.7554/eLife.15784}, author = {Micheva, Kristina D and Wolman, Dylan and Mensh, Brett D and Pax, Elizabeth and Buchanan, JoAnn and Smith, Stephen J and Bock, Davi D} } @article {47925, title = {Large-scale electron microscopy image segmentation in spark.}, journal = {arXiv}, year = {2016}, month = {1 April 2016}, pages = {arXiv:1604.00385 }, abstract = {

The emerging field of connectomics aims to unlock the mysteries of the brain by understanding the connectivity between neurons. To map this connectivity, we acquire thousands of electron microscopy (EM) images with nanometer-scale resolution. After aligning these images, the resulting dataset has the potential to reveal the shapes of neurons and the synaptic connections between them. However, imaging the brain of even a tiny organism like the fruit fly yields terabytes of data. It can take years of manual effort to examine such image volumes and trace their neuronal connections. One solution is to apply image segmentation algorithms to help automate the tracing tasks. In this paper, we propose a novel strategy to apply such segmentation on very large datasets that exceed the capacity of a single machine. Our solution is robust to potential segmentation errors which could otherwise severely compromise the quality of the overall segmentation, for example those due to poor classifier generalizability or anomalies in the image dataset. We implement our algorithms in a Spark application which minimizes disk I/O, and apply them to a few large EM datasets, revealing both their effectiveness and scalability. We hope this work will encourage external contributions to EM segmentation by providing 1) a flexible plugin architecture that deploys easily on different cluster environments and 2) an in-memory representation of segmentation that could be conducive to new advances.

}, author = {Plaza, Stephen M and Berg, Stuart E.} } @article {47974, title = {Layer 4 fast-spiking interneurons filter thalamocortical signals during active somatosensation.}, journal = {Nature Neuroscience}, volume = {19}, year = {2016}, month = {2016 Oct 17}, pages = {1647-57}, abstract = {

We rely on movement to explore the environment, for example, by palpating an object. In somatosensory cortex, activity related to movement of digits or whiskers is suppressed, which could facilitate detection of touch. Movement-related suppression is generally assumed to involve corollary discharges. Here we uncovered a thalamocortical mechanism in which cortical fast-spiking interneurons, driven by sensory input, suppress movement-related activity in layer 4 (L4) excitatory neurons. In mice locating objects with their whiskers, neurons in the ventral posteromedial nucleus (VPM) fired in response to touch and whisker movement. Cortical L4 fast-spiking interneurons inherited these responses from VPM. In contrast, L4 excitatory neurons responded mainly to touch. Optogenetic experiments revealed that fast-spiking interneurons reduced movement-related spiking in excitatory neurons, enhancing selectivity for touch-related information during active tactile sensation. These observations suggest a fundamental computation performed by the thalamocortical circuit to accentuate salient tactile information.

}, issn = {1546-1726}, doi = {10.1038/nn.4412}, author = {Yu, Jianing and Gutnisky, Diego A and Hires, S Andrew and Svoboda, Karel} } @conference {48194, title = {Learning a metric for class-conditional KNN.}, booktitle = {International Joint Conference on Neural Networks, IJCNN 2016}, year = {2016}, month = {2016 Oct 31}, address = {Vancouver, British Columbia, Canada}, abstract = {

Na{\"\i}ve Bayes Nearest Neighbour (NBNN) is a simple and effective framework which addresses many of the pitfalls of K-Nearest Neighbour (KNN) classification. It has yielded competitive results on several computer vision benchmarks. Its central tenet is that during NN search, a query is not compared to every example in a database, ignoring class information. Instead, NN searches are performed within each class, generating a score per class. A key problem with NN techniques, including NBNN, is that they fail when the data representation does not capture perceptual (e.g. class-based) similarity. NBNN circumvents this by using independent engineered descriptors (e.g. SIFT). To extend its applicability outside of image-based domains, we propose to learn a metric which captures perceptual similarity. Similar to how Neighbourhood Components Analysis optimizes a differentiable form of KNN classification, we propose {\textquoteright}Class Conditional{\textquoteright} metric learning (CCML), which optimizes a soft form of the NBNN selection rule. Typical metric learning algorithms learn either a global or local metric. However, our proposed method can be adjusted to a particular level of locality by tuning a single parameter. An empirical evaluation on classification and retrieval tasks demonstrates that our proposed method clearly outperforms existing learned distance metrics across a variety of image and non-image datasets.

}, doi = {10.1109/IJCNN.2016.7727436}, author = {Im, Daniel Jiwoong and Taylor, Graham W} } @article {48005, title = {Learning recurrent representations for hierarchical behavior modeling.}, journal = {arXiv}, volume = {arXiv:1611.00094}, year = {2016}, month = {2016 Nov 1}, abstract = {

We propose a framework for detecting action patterns from motion sequences and modeling the sensory-motor relationship of animals, using a generative recurrent neural network. The network has a discriminative part (classifying actions) and a generative part (predicting motion), whose recurrent cells are laterally connected, allowing higher levels of the network to represent high level phenomena. We test our framework on two types of data, fruit fly behavior and online handwriting. Our results show that 1) taking advantage of unlabeled sequences, by predicting future motion, significantly improves action detection performance when training labels are scarce, 2) the network learns to represent high level phenomena such as writer identity and fly gender, without supervision, and 3) simulated motion trajectories, generated by treating motion prediction as input to the network, look realistic and may be used to qualitatively evaluate whether the model has learnt generative control rules.

}, author = {Eyjolfsdottir, Eyrun and Branson, Kristin and Yue, Yisong and Perona, Pietro} } @article {47937, title = {Light sheet microscopes: Novel imaging toolbox for visualizing life{\textquoteright}s processes.}, journal = {The International Journal of Biochemistry \& Cell Biology}, year = {2016}, month = {2016 Oct 7}, abstract = {

Capturing dynamic processes in live samples is a nontrivial task in biological imaging. Although fluorescence provides high specificity and contrast compared to other light microscopy techniques, the photophysical principles of this method can have a harmful effect on the sample. Current advances in light sheet microscopy have created a novel imaging toolbox that allows for rapid acquisition of high-resolution fluorescent images with minimal perturbation of the processes of interest. Each unique design has its own advantages and limitations. In this review, we describe several cutting edge light sheet microscopes and their optimal applications.

}, issn = {1878-5875}, doi = {10.1016/j.biocel.2016.10.002}, author = {Heddleston, John M and Chew, Teng-Leong} } @article {47399, title = {Lineage mapping identifies molecular and architectural similarities between the larval and adult Drosophila central nervous system.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016}, abstract = {

Neurogenesis in Drosophila occurs in two phases, embryonic and post-embryonic, in which the same set of neuroblasts give rise to the distinct larval and adult nervous systems, respectively. Here, we identified the embryonic neuroblast origin of the adult neuronal lineages in the ventral nervous system via lineage-specific GAL4 lines and molecular markers. Our lineage mapping revealed that neurons born late in the embryonic phase show axonal morphology and transcription factor profiles that are similar to the neurons born post-embryonically from the same neuroblast. Moreover, we identified three thorax-specific neuroblasts not previously characterized and show that HOX genes confine them to the thoracic segments. Two of these, NB2-3 and NB3-4, generate leg motor neurons. The other neuroblast is novel and appears to have arisen recently during insect evolution. Our findings provide a comprehensive view of neurogenesis and show how proliferation of individual neuroblasts is dictated by temporal and spatial cues.

}, issn = {2050-084X}, doi = {10.7554/eLife.13399}, author = {Lacin, Haluk and Truman, James W} } @article {48135, title = {Live cell single molecule-guided Bayesian localization super resolution microscopy.}, journal = {Cell Research}, year = {2016}, month = {2016 Dec 30}, issn = {1748-7838}, doi = {10.1038/cr.2015.160}, author = {Xu, Fan and Zhang, Mingshu and He, Wenting and Han, Renmin and Xue, Fudong and Liu, Zhiyong and Zhang, Fa and Lippincott-Schwartz, Jennifer and Xu, Pingyong} } @article {47933, title = {Live-cell single-molecule tracking reveals co-recognition of H3K27me3 and DNA targets polycomb Cbx7-PRC1 to chromatin.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Oct 10}, abstract = {

The Polycomb PRC1 plays essential roles in development and disease pathogenesis. Targeting of PRC1 to chromatin is thought to be mediated by the Cbx family proteins (Cbx2/4/6/7/8) binding to histone H3 with a K27me3 modification (H3K27me3). Despite this prevailing view, the molecular mechanisms of targeting remain poorly understood. Here, by combining live-cell single-molecule tracking (SMT) and genetic engineering, we reveal that H3K27me3 contributes significantly to the targeting of Cbx7 and Cbx8 to chromatin, but less to Cbx2, Cbx4, and Cbx6. Genetic disruption of the complex formation of PRC1 facilitates the targeting of Cbx7 to chromatin. Biochemical analyses uncover that the CD and AT-hook-like (ATL) motif of Cbx7 constitute a functional DNA-binding unit. Live-cell SMT of Cbx7 mutants demonstrates that Cbx7 is targeted to chromatin by co-recognizing of H3K27me3 and DNA. Our data suggest a novel hierarchical cooperation mechanism by which histone modifications and DNA coordinate to target chromatin regulatory complexes.

}, issn = {2050-084X}, doi = {10.7554/eLife.17667}, author = {Zhen, Chao Yu and Tatavosian, Roubina and Huynh, Thao Ngoc and Duc, Huy Nguyen and Das, Raibatak and Kokotovic, Marko and Grimm, Jonathan B and Lavis, Luke D and Lee, Jun and Mejia, Frances J and Li, Yang and Yao, Tingting and Ren, Xiaojun} } @article {48044, title = {Long distance projections of cortical pyramidal neurons.}, journal = {Journal of Neuroscience Research}, year = {2016}, month = {2016 Nov 12}, abstract = {

The neuronal circuits defined by the axonal projections of pyramidal neurons in the cerebral cortex are responsible for processing sensory and other information to plan and execute behavior. Subtypes of cortical pyramidal neurons are organized across layers, with those in different layers distinguished by their patterns of axonal projections and connectivity. For example, those in layers 2 and 3 project between cortical areas to integrate sensory and other information with motor areas; while those in layers 5 and 6 also integrate information between cortical areas, but also project to subcortical structures involved in the generation of behavior. Recent advances in neuroanatomical techniques allow one to target specific subtypes of cortical pyramidal neurons and label both their inputs and projections. Combining these methods with neurophysiological recording techniques and newly introduced atlases of the mouse brain provide the opportunity to achieve a detailed view of the organization of cerebral cortical circuits.

}, doi = {10.1002/jnr.23978}, author = {Gerfen, Charles R and Economo, Michael N and Chandrashekar, Jayaram} } @article {46747, title = {Label-free spectroscopic detection of membrane potential using stimulated Raman scattering.}, journal = {Applied Physics Letters}, volume = {106}, year = {2015}, month = {2015 Apr 27}, pages = {173704}, abstract = {

Hyperspectral stimulated Raman scattering microscopy is deployed to measure single-membrane vibrational spectrum as a function of membrane potential. Using erythrocyte ghost as a model, quantitative correlation between transmembrane potential and Raman spectral profile was found. Specifically, the ratio between the area under Raman band at \~{}2930 cm-1 and that at \~{}2850 cm-1 increased by \~{}2.6 times when the potential across the erythrocyte ghost membrane varied from +10 mV to -10 mV. Our results show the feasibility of employing stimulated Raman scattering microscopy to probe the membrane potential without labeling.

}, doi = {10.1063/1.4919104}, author = {Liu, Bin and Lee, Hyeon Jeong and Zhang, Delong and Liao, Chien-Sheng and Ji, Na and Xia, Yuanqin and Cheng, Ji-Xin} } @article {46368, title = {Labeling of active neural circuits in vivo with designed calcium integrators.}, journal = {Science}, volume = {347}, year = {2015}, month = {2015 Feb 13}, pages = {755-60}, abstract = {

The identification of active neurons and circuits in vivo is a fundamental challenge in understanding the neural basis of behavior. Genetically encoded calcium (Ca(2+)) indicators (GECIs) enable quantitative monitoring of cellular-resolution activity during behavior. However, such indicators require online monitoring within a limited field of view. Alternatively, post hoc staining of immediate early genes (IEGs) indicates highly active cells within the entire brain, albeit with poor temporal resolution. We designed a fluorescent sensor, CaMPARI, that combines the genetic targetability and quantitative link to neural activity of GECIs with the permanent, large-scale labeling of IEGs, allowing a temporally precise "activity snapshot" of a large tissue volume. CaMPARI undergoes efficient and irreversible green-to-red conversion only when elevated intracellular Ca(2+) and experimenter-controlled illumination coincide. We demonstrate the utility of CaMPARI in freely moving larvae of zebrafish and flies, and in head-fixed mice and adult flies.

}, issn = {1095-9203}, doi = {10.1126/science.1260922}, author = {Fosque, Benjamin F and Sun, Yi and Dana, Hod and Yang, Chao-Tsung and Ohyama, Tomoko and Tadross, Michael R and Patel, Ronak and Zlatic, Marta and Kim, Douglas S and Ahrens, Misha B and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R} } @article {46532, title = {Large-scale imaging in small brains.}, journal = {Current Opinion in Neurobiology}, volume = {32C}, year = {2015}, month = {2015 Jun 1}, pages = {78-86}, abstract = {

The dense connectivity in the brain means that one neuron{\textquoteright}s activity can influence many others. To observe this interconnected system comprehensively, an aspiration within neuroscience is to record from as many neurons as possible at the same time. There are two useful routes toward this goal: one is to expand the spatial extent of functional imaging techniques, and the second is to use animals with small brains. Here we review recent progress toward imaging many neurons and complete populations of identified neurons in small vertebrates and invertebrates.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2015.01.007}, author = {Ahrens, Misha B and Engert, Florian} } @article {48830, title = {Learning enhances sensory and multiple non-sensory representations in primary visual cortex.}, journal = {Neuron}, volume = {86}, year = {2015}, month = {2015 Jun 17}, pages = {1478-90}, abstract = {

We determined how learning modifies neural representations in primary visual cortex (V1) during acquisition of a visually guided behavioral task. We imaged the activity of the same layer 2/3 neuronal populations as mice learned to discriminate two visual patterns while running through a virtual corridor, where one pattern was rewarded. Improvements in behavioral performance were closely associated with increasingly distinguishable population-level representations of task-relevant stimuli, as a result of stabilization of existing and recruitment of new neurons selective for these stimuli. These effects correlated with the appearance of multiple task-dependent signals during learning: those that increased neuronal selectivity across the population when expert animals engaged in the task, and those reflecting anticipation or behavioral choices specifically in neuronal subsets preferring the rewarded stimulus. Therefore, learning engages diverse mechanisms that modify sensory and non-sensory representations in V1 to adjust its processing to task requirements and the behavioral relevance of visual stimuli.

}, keywords = {Animals, Calcium, Discrimination (Psychology), Female, Learning, Luminescent Proteins, Male, Mice, Mice, Inbred C57BL, Mice, Transgenic, Models, Neurological, Neurons, Nonlinear Dynamics, Optogenetics, Photic Stimulation, Sensory Receptor Cells, User-Computer Interface, Vision, Ocular, Visual Cortex}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.05.037}, author = {Poort, Jasper and Khan, Adil G and Pachitariu, Marius and Nemri, Abdellatif and Orsolic, Ivana and Krupic, Julija and Bauza, Marius and Sahani, Maneesh and Keller, Georg B and Mrsic-Flogel, Thomas D and Hofer, Sonja B} } @article {47744, title = {Learning: the good, the bad, and the fly.}, journal = {Neuron}, volume = {86}, year = {2015}, month = {2015 Apr 22}, pages = {343-5}, abstract = {

Olfactory memories can be very good-your mother{\textquoteright}s baking-or very bad-your father{\textquoteright}s cooking. We go through life forming these different associations with the smells we encounter. But what makes one association pleasant and another repulsive? Work in deep areas of the Drosophila brain has revealed the beginnings of an answer, as reported in this issue of Neuron by Owald et al. (2015).

}, keywords = {Animals, Appetitive Behavior, Dopaminergic Neurons, Drosophila, Mushroom Bodies, Smell}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.04.012}, author = {Hige, Toshihide and Turner, Glenn} } @article {45457, title = {Light sheet-based imaging and analysis of early embryogenesis in the fruit fly.}, journal = {Methods in Molecular Biology}, volume = {1189}, year = {2015}, month = {2015}, pages = {79-97}, abstract = {

The fruit fly is an excellent model system for investigating the sequence of epithelial tissue invaginations constituting the process of gastrulation. By combining recent advancements in light sheet fluorescence microscopy (LSFM) and image processing, the three-dimensional fly embryo morphology and relevant gene expression patterns can be accurately recorded throughout the entire process of embryogenesis. LSFM provides exceptionally high imaging speed, high signal-to-noise ratio, low level of photoinduced damage, and good optical penetration depth. This powerful combination of capabilities makes LSFM particularly suitable for live imaging of the fly embryo.The resulting high-information-content image data are subsequently processed to obtain the outlines of cells and cell nuclei, as well as the geometry of the whole embryo tissue by image segmentation. Furthermore, morphodynamics information is extracted by computationally tracking objects in the image. Towards that goal we describe the successful implementation of a fast fitting strategy of Gaussian mixture models.The data obtained by image processing is well-suited for hypothesis testing of the detailed biomechanics of the gastrulating embryo. Typically this involves constructing computational mechanics models that consist of an objective function providing an estimate of strain energy for a given morphological configuration of the tissue, and a numerical minimization mechanism of this energy, achieved by varying morphological parameters.In this chapter, we provide an overview of in vivo imaging of fruit fly embryos using LSFM, computational tools suitable for processing the resulting images, and examples of computational biomechanical simulations of fly embryo gastrulation.

}, issn = {1940-6029}, doi = {10.1007/978-1-4939-1164-6_6}, author = {Khairy, Khaled and Lemon, William C and Amat, Fernando and Keller, Philipp J} } @article {46985, title = {Lighting up genes in single cells at scale.}, journal = {Cell}, volume = {162}, year = {2015}, month = {2015 Aug 13}, pages = {705-7}, doi = {10.1016/j.cell.2015.07.052}, author = {Liu, Zhe} } @article {45847, title = {Low affinity binding site clusters confer Hox specificity and regulatory robustness.}, journal = {Cell}, volume = {160}, year = {2015}, month = {2015 Jan 15}, pages = {191-203}, abstract = {

In animals, Hox transcription factors define regional identity in distinct anatomical domains. How Hox genes encode this specificity is a paradox, because different Hox proteins bind with high affinity in\ vitro to similar DNA sequences. Here, we demonstrate that the Hox protein Ultrabithorax (Ubx) in complex with its cofactor Extradenticle (Exd) bound specifically to clusters of very low affinity sites in enhancers of the shavenbaby gene of Drosophila. These low affinity sites conferred specificity for Ubx binding in\ vivo, but multiple clustered sites were required for robust expression when embryos developed in\ variable environments. Although most individual Ubx binding sites are not evolutionarily conserved, the overall enhancer architecture-clusters of low affinity binding sites-is maintained and required for enhancer function. Natural selection therefore works at the level of the enhancer, requiring a particular density of low affinity Ubx sites to confer both specific and robust expression.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2014.11.041}, author = {Crocker, Justin and Abe, Namiko and Rinaldi, Lucrezia and McGregor, Alistair P and Frankel, Nicol{\'a}s and Wang, Shu and Alsawadi, Ahmad and Valenti, Philippe and Plaza, Serge and Payre, Fran{\c c}ois and Mann, Richard S and Stern, David L} } @article {47144, title = {A Low Affinity GCaMP3 Variant (GCaMPer) for Imaging the Endoplasmic Reticulum Calcium Store.}, journal = {PloS one}, volume = {10}, year = {2015}, month = {2015 Oct 09}, pages = {e0139273}, abstract = {

Endoplasmic reticulum calcium homeostasis is critical for cellular functions and is disrupted in diverse pathologies including neurodegeneration and cardiovascular disease. Owing to the high concentration of calcium within the ER, studying this subcellular compartment requires tools that are optimized for these conditions. To develop a single-fluorophore genetically encoded calcium indicator for this organelle, we targeted a low affinity variant of GCaMP3 to the ER lumen (GCaMPer (10.19)). A set of viral vectors was constructed to express GCaMPer in human neuroblastoma cells, rat primary cortical neurons, and human induced pluripotent stem cell-derived cardiomyocytes. We observed dynamic changes in GCaMPer (10.19) fluorescence in response to pharmacologic manipulations of the ER calcium store. Additionally, periodic calcium efflux from the ER was observed during spontaneous beating of cardiomyocytes. GCaMPer (10.19) has utility in imaging ER calcium in living cells and providing insight into luminal calcium dynamics under physiologic and pathologic states.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0139273}, author = {Henderson, Mark J and Baldwin, Heather A and Werley, Christopher A and Boccardo, Stefano and Whitaker, Leslie R and Yan, Xiaokang and Holt, Graham T and Schreiter, Eric R and Looger, Loren L and Cohen, Adam E and Kim, Douglas S and Harvey, Brandon K} } @article {46987, title = {Low-noise encoding of active touch by layer 4 in the somatosensory cortex.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Aug 6}, abstract = {

Cortical spike trains often appear noisy, with the timing and number of spikes varying across repetitions of stimuli. Spiking variability can arise from internal (behavioral state, unreliable neurons, or chaotic dynamics in neural circuits) and external (uncontrolled behavior or sensory stimuli) sources. The amount of irreducible internal noise in spike trains, an important constraint on models of cortical networks, has been difficult to estimate, since behavior and brain state must be precisely controlled or tracked. We recorded from excitatory barrel cortex neurons in layer 4 during active behavior, where mice control tactile input through learned whisker movements. Touch was the dominant sensorimotor feature, with \>70\% spikes occurring in millisecond timescale epochs after touch onset. The variance of touch responses was smaller than expected from Poisson processes, often reaching the theoretical minimum. Layer 4 spike trains thus reflect the millisecond-timescale structure of tactile input with little noise.

}, issn = {2050-084X}, doi = {10.7554/eLife.06619}, author = {Andrew Hires, Samuel and Gutnisky, Diego A and Yu, Jianing and O{\textquoteright}Connor, Daniel H and Svoboda, Karel} } @article {45203, title = {Large environments reveal the statistical structure governing hippocampal representations.}, journal = {Science}, volume = {345}, year = {2014}, month = {2014 Aug 15}, pages = {814-7}, abstract = {

The rules governing the formation of spatial maps in the hippocampus have not been determined. We investigated the large-scale structure of place field activity by recording hippocampal neurons in rats exploring a previously unencountered 48-meter-long track. Single-cell and population activities were well described by a two-parameter stochastic model. Individual neurons had their own characteristic propensity for forming fields randomly along the track, with some cells expressing many fields and many exhibiting few or none. Because of the particular distribution of propensities across cells, the number of neurons with fields scaled logarithmically with track length over a wide, ethological range. These features constrain hippocampal memory mechanisms, may allow efficient encoding of environments and experiences of vastly different extents and durations, and could reflect general principles of population coding.

}, issn = {1095-9203}, doi = {10.1126/science.1255635}, author = {Rich, P Dylan and Liaw, Hua-Peng and Lee, Albert K} } @article {45186, title = {Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals.}, journal = {Journal of Neurophysiology}, volume = {111}, year = {2014}, month = {2014 Mar}, pages = {1132-49}, abstract = {

Monitoring representative fractions of neurons from multiple brain circuits in behaving animals is necessary for understanding neuronal computation. Here, we describe a system that allows high-channel-count recordings from a small volume of neuronal tissue using a lightweight signal multiplexing headstage that permits free behavior of small rodents. The system integrates multishank, high-density recording silicon probes, ultraflexible interconnects, and a miniaturized microdrive. These improvements allowed for simultaneous recordings of local field potentials and unit activity from hundreds of sites without confining free movements of the animal. The advantages of large-scale recordings are illustrated by determining the electroanatomic boundaries of layers and regions in the hippocampus and neocortex and constructing a circuit diagram of functional connections among neurons in real anatomic space. These methods will allow the investigation of circuit operations and behavior-dependent interregional interactions for testing hypotheses of neural networks and brain function.

}, issn = {1522-1598}, doi = {10.1152/jn.00785.2013}, author = {Berenyi, Antal and Somogyv{\'a}ri, Zolt{\'a}n and Nagy, Anett J and Roux, Lisa and Long, John D and Fujisawa, Shigeyoshi and Stark, Eran and Leonardo, Anthony and Harris, Timothy D and Buzs{\'a}ki, Gy{\"o}rgy} } @article {45617, title = {Lattice light-sheet microscopy: imaging molecules to embryos at high spatiotemporal resolution.}, journal = {Science}, volume = {346}, year = {2014}, month = {2014 Oct 24}, pages = {1257998}, abstract = {

Although fluorescence microscopy provides a crucial window into the physiology of living specimens, many biological processes are too fragile, are too small, or occur too rapidly to see clearly with existing tools. We crafted ultrathin light sheets from two-dimensional optical lattices that allowed us to image three-dimensional (3D) dynamics for hundreds of volumes, often at subsecond intervals, at the diffraction limit and beyond. We applied this to systems spanning four orders of magnitude in space and time, including the diffusion of single transcription factor molecules in stem cell spheroids, the dynamic instability of mitotic microtubules, the immunological synapse, neutrophil motility in a 3D matrix, and embryogenesis in Caenorhabditis elegans and Drosophila melanogaster. The results provide a visceral reminder of the beauty and the complexity of living systems.

}, issn = {1095-9203}, doi = {10.1126/science.1257998}, author = {Chen, Bi-Chang and Legant, Wesley R and Wang, Kai and Shao, Lin and Milkie, Daniel E and Davidson, Michael W and Janetopoulos, Chris and Wu, Xufeng S and Hammer, John A and Liu, Zhe and English, Brian P and Mimori-Kiyosue, Yuko and Romero, Daniel P and Ritter, Alex T and Lippincott-Schwartz, Jennifer and Fritz-Laylin, Lillian and Mullins, R Dyche and Mitchell, Diana M and Bembenek, Joshua N and Reymann, Anne-Cecile and B{\"o}hme, Ralph and Grill, Stephan W and Wang, Jennifer T and Seydoux, Geraldine and Tulu, U Serdar and Kiehart, Daniel P and Betzig, Eric} } @article {45841, title = {Leptin mediates the increase in blood pressure associated with obesity.}, journal = {Cell}, volume = {159}, year = {2014}, month = {2014 Dec 4}, pages = {1404-16}, abstract = {

Obesity is associated with increased blood pressure (BP), which in turn increases the risk of cardiovascular diseases. We found that the increase in leptin levels seen in diet-induced obesity (DIO) drives an increase in BP in rodents, an effect that was not seen in animals deficient in leptin or leptin receptors (LepR). Furthermore, humans with loss-of-function mutations in leptin and the LepR have low BP despite severe obesity. Leptin{\textquoteright}s effects on BP are mediated by neuronal circuits in the dorsomedial hypothalamus (DMH), as blocking leptin with a specific antibody, antagonist, or inhibition of the activity of LepR-expressing neurons in the DMH caused a rapid reduction of BP in DIO mice, independent of changes in weight. Re-expression of LepRs in the DMH of DIO LepR-deficient mice caused an increase in BP. These studies demonstrate that leptin couples changes in weight to changes in BP in mammalian species.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2014.10.058}, author = {Simonds, Stephanie E and Pryor, Jack T and Ravussin, Eric and Greenway, Frank L and Dileone, Ralph and Allen, Andrew M and Bassi, Jaspreet and Elmquist, Joel K and Keogh, Julia M and Henning, Elana and Myers, Martin G and Licinio, Julio and Brown, Russell D and Enriori, Pablo J and O{\textquoteright}Rahilly, Stephen and Sternson, Scott M and Grove, Kevin L and Spanswick, David C and Farooqi, I Sadaf and Cowley, Michael A} } @article {46547, title = {Lessons from the neurons themselves.}, journal = {Design Automation Conference (ASP-DAC), 2014 19th Asia and South Pacific}, year = {2014}, month = {2014 Jan 20-23}, pages = {197-200}, abstract = {

Natural neural circuits, optimized by millions of years of evolution, are fast, low power, robust, and adapt in response to experience, all characteristics we would love to have in systems we ourselves design. Recently there have been enormous advances in understanding how neurons implement computations within the brain of living creatures. Can we use this new-found knowledge to create better artificial system? What lessons can we learn from the neurons themselves, that can help us create better neuromorphic circuits?

}, doi = {10.1109/ASPDAC.2014.6742889}, author = {Scheffer, LK} } @article {45177, title = {Light-sheet functional imaging in fictively behaving zebrafish.}, journal = {Nature Methods}, volume = {11}, year = {2014}, month = {2014 Jul 27}, pages = {883-4}, abstract = {

The processing of sensory input and the generation of behavior involves large networks of neurons, which necessitates new technology for recording from many neurons in behaving animals. In the larval zebrafish, light-sheet microscopy can be used to record the activity of almost all neurons in the brain simultaneously at single-cell resolution. Existing implementations, however, cannot be combined with visually driven behavior because the light sheet scans over the eye, interfering with presentation of controlled visual stimuli. Here we describe a system that overcomes the confounding eye stimulation through the use of two light sheets and combines whole-brain light-sheet imaging with virtual reality for fictively behaving larval zebrafish.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3040}, author = {Vladimirov, Nikita and Mu, Yu and Kawashima, Takashi and Bennett, Davis V and Yang, Chao-Tsung and Looger, Loren L and Keller, Philipp J and Freeman, Jeremy and Ahrens, Misha B} } @article {45868, title = {Light-sheet imaging for systems neuroscience.}, journal = {Nature Methods}, volume = {12}, year = {2014}, month = {2014 Dec 30}, pages = {27-9}, abstract = {

Developments in electrical and optical recording technology are scaling up the size of neuronal populations that can be monitored simultaneously. Light-sheet imaging is rapidly gaining traction as a method for optically interrogating activity in large networks and presents both opportunities and challenges for understanding circuit function.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3214}, author = {Keller, Philipp J and Ahrens, Misha B and Freeman, Jeremy} } @article {6896, title = {Live imaging and quantitative analysis of gastrulation in mouse embryos using light-sheet microscopy and 3D tracking tools.}, journal = {Nature Protocols}, volume = {9}, year = {2014}, month = {2014 Mar}, pages = {575-85}, abstract = {

This protocol describes how to observe gastrulation in living mouse embryos by using light-sheet microscopy and computational tools to analyze the resulting image data at the single-cell level. We describe a series of techniques needed to image the embryos under physiological conditions, including how to hold mouse embryos without agarose embedding, how to transfer embryos without air exposure and how to construct environmental chambers for live imaging by digital scanned light-sheet microscopy (DSLM). Computational tools include manual and semiautomatic tracking programs that are developed for analyzing the large 4D data sets acquired with this system. Note that this protocol does not include details of how to build the light-sheet microscope itself. Time-lapse imaging ends within 12 h, with subsequent tracking analysis requiring 3-6 d. Other than some mouse-handling skills, this protocol requires no advanced skills or knowledge. Light-sheet microscopes are becoming more widely available, and thus the techniques outlined in this paper should be helpful for investigating mouse embryogenesis.

}, issn = {1750-2799}, doi = {10.1038/nprot.2014.035}, author = {Ichikawa, Takehiko and Nakazato, Kenichi and Keller, Philipp J and Kajiura-Kobayashi, Hiroko and Stelzer, Ernst H K and Mochizuki, Atsushi and Nonaka, Shigenori} } @article {45852, title = {Live imaging of endogenous PSD-95 using ENABLED: a conditional strategy to fluorescently label endogenous proteins.}, journal = {Journal of Neuroscience}, volume = {34}, year = {2014}, month = {2014 Dec 10}, pages = {16698-712}, abstract = {

Stoichiometric labeling of endogenous synaptic proteins for high-contrast live-cell imaging in brain tissue remains challenging. Here, we describe a conditional mouse genetic strategy termed endogenous labeling via exon duplication (ENABLED), which can be used to fluorescently label endogenous proteins with near ideal properties in all neurons, a sparse subset of neurons, or specific neuronal subtypes. We used this method to label the postsynaptic density protein PSD-95 with mVenus without overexpression side effects. We demonstrated that mVenus-tagged PSD-95 is functionally equivalent to wild-type PSD-95 and that PSD-95 is present in nearly all dendritic spines in CA1 neurons. Within spines, while PSD-95 exhibited low mobility under basal conditions, its levels could be regulated by chronic changes in neuronal activity. Notably, labeled PSD-95 also allowed us to visualize and unambiguously examine otherwise-unidentifiable excitatory shaft synapses in aspiny neurons, such as parvalbumin-positive interneurons and dopaminergic neurons. Our results demonstrate that the ENABLED strategy provides a valuable new approach to study the dynamics of endogenous synaptic proteins in vivo.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3888-14.2014}, author = {Fortin, Dale A and Tillo, Shane E and Yang, Guang and Rah, Jong-Cheol and Melander, Joshua B and Bai, Suxia and Soler-Cede{\~n}o, Omar and Qin, Maozhen and Zemelman, Boris V and Guo, Caiying and Mao, Tianyi and Zhong, Haining} } @article {47630, title = {LKB1/AMPK and PKA control ABCB11 trafficking and polarization in hepatocytes.}, journal = {PloS one}, volume = {9}, year = {2014}, month = {2014}, pages = {e91921}, abstract = {

Polarization of hepatocytes is manifested by bile canalicular network formation and activation of LKB1 and AMPK, which control cellular energy metabolism. The bile acid, taurocholate, also regulates development of the canalicular network through activation of AMPK. In the present study, we used collagen sandwich hepatocyte cultures from control and liver-specific LKB1 knockout mice to examine the role of LKB1 in trafficking of ABCB11, the canalicular bile acid transporter. In polarized hepatocytes, ABCB11 traffics from Golgi to the apical plasma membrane and endogenously cycles through the rab 11a-myosin Vb recycling endosomal system. LKB1 knockout mice were jaundiced, lost weight and manifested impaired bile canalicular formation and intracellular trafficking of ABCB11, and died within three weeks. Using live cell imaging, fluorescence recovery after photobleaching (FRAP), particle tracking, and biochemistry, we found that LKB1 activity is required for microtubule-dependent trafficking of ABCB11 to the canalicular membrane. In control hepatocytes, ABCB11 trafficking was accelerated by taurocholate and cAMP; however, in LKB1 knockout hepatocytes, ABCB11 trafficking to the apical membrane was greatly reduced and restored only by cAMP, but not taurocholate. cAMP acted through a PKA-mediated pathway which did not activate AMPK. Our studies establish a regulatory role for LKB1 in ABCB11 trafficking to the canalicular membrane, hepatocyte polarization, and canalicular network formation.

}, keywords = {AMP-Activated Protein Kinases, Animals, ATP-Binding Cassette Transporters, Bile Acids and Salts, Cell Membrane, Cell Polarity, Cyclic AMP, Cyclic AMP-Dependent Protein Kinases, Endosomes, Gene Expression Regulation, Golgi Apparatus, Hepatocytes, Mice, Mice, Knockout, Myosin Type V, Primary Cell Culture, Protein Transport, Protein-Serine-Threonine Kinases, rab GTP-Binding Proteins, Signal Transduction, Taurocholic Acid}, issn = {1932-6203}, doi = {10.1371/journal.pone.0091921}, author = {Homolya, L{\'a}szl{\'o} and Fu, Dong and Sengupta, Prabuddha and Jarnik, Michal and Gillet, Jean-Pierre and Vitale-Cross, Lynn and Gutkind, J Silvio and Lippincott-Schwartz, Jennifer and Arias, Irwin M} } @article {45061, title = {Looking under the lamp post: neither fruitless nor doublesex has evolved to generate divergent male courtship in Drosophila.}, journal = {Cell Reports}, volume = {8}, year = {2014}, month = {2014 Jul 24}, pages = {363-70}, abstract = {

How do evolved genetic changes alter the nervous system to produce different patterns of behavior? We address this question using Drosophila male courtship behavior, which is innate, stereotyped, and evolves rapidly between species. D. melanogaster male courtship requires the male-specific isoforms of two transcription factors, fruitless\ and doublesex. These genes underlie genetic switches between female and male behaviors, making them excellent candidate genes for courtship behavior evolution. We tested their role in courtship evolution by transferring the entire locus for each gene from divergent species to D.\ melanogaster. We found that despite differences in Fru+ and Dsx+ cell numbers in wild-type species, cross-species transgenes rescued D.\ melanogaster courtship behavior and no species-specific behaviors were conferred. Therefore, fru and dsx are not a significant source of evolutionary variation in courtship behavior.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2014.06.023}, author = {Cande, Jessica and Stern, David L and Morita, Tomoko and Prud{\textquoteright}homme, Benjamin and Gompel, Nicolas} } @article {65022, title = {Large scale structural rearrangement of a serine hydrolase from Francisella tularensis facilitates catalysis.}, journal = {J Biol Chem}, volume = {288}, year = {2013}, month = {2013 Apr 12}, pages = {10522-35}, abstract = {

Tularemia is a deadly, febrile disease caused by infection by the gram-negative bacterium, Francisella tularensis. Members of the ubiquitous serine hydrolase protein family are among current targets to treat diverse bacterial infections. Herein we present a structural and functional study of a novel bacterial carboxylesterase (FTT258) from F. tularensis, a homologue of human acyl protein thioesterase (hAPT1). The structure of FTT258 has been determined in multiple forms, and unexpectedly large conformational changes of a peripheral flexible loop occur in the presence of a mechanistic cyclobutanone ligand. The concomitant changes in this hydrophobic loop and the newly exposed hydrophobic substrate binding pocket suggest that the observed structural changes are essential to the biological function and catalytic activity of FTT258. Using diverse substrate libraries, site-directed mutagenesis, and liposome binding assays, we determined the importance of these structural changes to the catalytic activity and membrane binding activity of FTT258. Residues within the newly exposed hydrophobic binding pocket and within the peripheral flexible loop proved essential to the hydrolytic activity of FTT258, indicating that structural rearrangement is required for catalytic activity. Both FTT258 and hAPT1 also showed significant association with liposomes designed to mimic bacterial or human membranes, respectively, even though similar structural rearrangements for hAPT1 have not been reported. The necessity for acyl protein thioesterases to have maximal catalytic activity near the membrane surface suggests that these conformational changes in the protein may dually regulate catalytic activity and membrane association in bacterial and human homologues.

}, keywords = {Bacterial Proteins, Cell Membrane, Francisella tularensis, Humans, Mutagenesis, Site-Directed, Serine Endopeptidases, Structural Homology, Protein, Structure-Activity Relationship, Thiolester Hydrolases}, issn = {1083-351X}, doi = {10.1074/jbc.M112.446625}, author = {Filippova, Ekaterina V and Weston, Leigh A and Kuhn, Misty L and Geissler, Brett and Gehring, Alexandra M and Armoush, Nicola and Adkins, Chinessa T and Minasov, George and Dubrovska, Ievgeniia and Shuvalova, Ludmilla and Winsor, James R and Lavis, Luke D and Satchell, Karla J F and Becker, Daniel P and Anderson, Wayne F and Johnson, R Jeremy} } @article {5346, title = {Light sheet microscopy in cell biology.}, journal = {Methods in Molecular Biology}, volume = {931}, year = {2013}, month = {2013}, pages = {123-37}, abstract = {

Light sheet-based fluorescence microscopy (LSFM) is emerging as a powerful imaging technique for the life sciences. LSFM provides an exceptionally high imaging speed, high signal-to-noise ratio, low level of photo-bleaching, and good optical penetration depth. This unique combination of capabilities makes light sheet-based microscopes highly suitable for live imaging applications. Here, we provide an overview of light sheet-based microscopy assays for in vitro and in vivo imaging of biological samples, including cell extracts, soft gels, and large multicellular organisms. We furthermore describe computational tools for basic image processing and data inspection.

}, issn = {1940-6029}, doi = {10.1007/978-1-62703-056-4_7}, author = {Tomer, Raju and Khairy, Khaled and Keller, Philipp J} } @article {6318, title = {Likelihood-based classification of cryo-EM images using FREALIGN.}, journal = {Journal of Structural Biology}, volume = {183}, year = {2013}, month = {2013 Sep}, pages = {377-88}, abstract = {

We describe an implementation of maximum likelihood classification for single particle electron cryo-microscopy that is based on the FREALIGN software. Particle alignment parameters are determined by maximizing a joint likelihood that can include hierarchical priors, while classification is performed by expectation maximization of a marginal likelihood. We test the FREALIGN implementation using a simulated dataset containing computer-generated projection images of three different 70S ribosome structures, as well as a publicly available dataset of 70S ribosomes. The results show that the mixed strategy of the new FREALIGN algorithm yields performance on par with other maximum likelihood implementations, while remaining computationally efficient.

}, issn = {1095-8657}, doi = {10.1016/j.jsb.2013.07.005}, author = {Lyumkis, Dmitry and Brilot, Axel F and Theobald, Douglas L and Grigorieff, Nikolaus} } @article {6918, title = {Live imaging of nervous system development and function using light-sheet microscopy.}, journal = {Molecular Reproduction and Development}, volume = {82}, year = {2013}, month = {2015 Jul}, pages = {605-18}, abstract = {

In vivo imaging applications typically require carefully balancing conflicting parameters. Often it is necessary to achieve high imaging speed, low photo-bleaching, and photo-toxicity, good three-dimensional resolution, high signal-to-noise ratio, and excellent physical coverage at the same time. Light-sheet microscopy provides good performance in all of these categories, and is thus emerging as a particularly powerful live imaging method for the life sciences. We see an outstanding potential for applying light-sheet microscopy to the study of development and function of the early nervous system in vertebrates and higher invertebrates. Here, we review state-of-the-art approaches to live imaging of early development, and show how the unique capabilities of light-sheet microscopy can further advance our understanding of the development and function of the nervous system. We discuss key considerations in the design of light-sheet microscopy experiments, including sample preparation and fluorescent marker strategies, and provide an outlook for future directions in the field.

}, issn = {1098-2795}, doi = {10.1002/mrd.22258}, author = {Lemon, William C and Keller, Philipp J} } @article {6073, title = {Live imaging of whole mouse embryos during gastrulation: migration analyses of epiblast and mesodermal cells.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013 Jul 8}, pages = {e64506}, abstract = {

During gastrulation in the mouse embryo, dynamic cell movements including epiblast invagination and mesodermal layer expansion lead to the establishment of the three-layered body plan. The precise details of these movements, however, are sometimes elusive, because of the limitations in live imaging. To overcome this problem, we developed techniques to enable observation of living mouse embryos with digital scanned light sheet microscope (DSLM). The achieved deep and high time-resolution images of GFP-expressing nuclei and following 3D tracking analysis revealed the following findings: (i) Interkinetic nuclear migration (INM) occurs in the epiblast at embryonic day (E)6 and 6.5. (ii) INM-like migration occurs in the E5.5 embryo, when the epiblast is a monolayer and not yet pseudostratified. (iii) Primary driving force for INM at E6.5 is not pressure from neighboring nuclei. (iv) Mesodermal cells migrate not as a sheet but as individual cells without coordination.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0064506}, author = {Ichikawa, Takehiko and Nakazato, Kenichi and Keller, Philipp J and Kajiura-Kobayashi, Hiroko and Stelzer, Ernst H K and Mochizuki, Atsushi and Nonaka, Shigenori} } @article {6523, title = {Local cAMP signaling in disease at a glance.}, journal = {Journal of Cell Science}, volume = {126}, year = {2013}, month = {2013 Oct 15}, pages = {4537-43}, abstract = {

The second messenger cyclic AMP (cAMP) operates in discrete subcellular regions within which proteins that synthesize, break down or respond to the second messenger are precisely organized. A burgeoning knowledge of compartmentalized cAMP signaling is revealing how the local control of signaling enzyme activity impacts upon disease. The aim of this Cell Science at a Glance article and the accompanying poster is to highlight how misregulation of local cyclic AMP signaling can have pathophysiological consequences. We first introduce the core molecular machinery for cAMP signaling, which includes the cAMP-dependent protein kinase (PKA), and then consider the role of A-kinase anchoring proteins (AKAPs) in coordinating different cAMP-responsive proteins. The latter sections illustrate the emerging role of local cAMP signaling in four disease areas: cataracts, cancer, diabetes and cardiovascular diseases.

}, issn = {1477-9137}, doi = {10.1242/jcs.133751}, author = {Gold, Matthew G and Gonen, Tamir and Scott, John D} } @article {6291, title = {A localized Wnt signal orients asymmetric stem cell division in vitro.}, journal = {Science}, volume = {339}, year = {2013}, month = {2013 Mar 22}, pages = {1445-8}, abstract = {

Developmental signals such as Wnts are often presented to cells in an oriented manner. To examine the consequences of local Wnt signaling, we immobilized Wnt proteins on beads and introduced them to embryonic stem cells in culture. At the single-cell level, the Wnt-bead induced asymmetric distribution of Wnt-β-catenin signaling components, oriented the plane of mitotic division, and directed asymmetric inheritance of centrosomes. Before cytokinesis was completed, the Wnt-proximal daughter cell expressed high levels of nuclear β-catenin and pluripotency genes, whereas the distal daughter cell acquired hallmarks of differentiation. We suggest that a spatially restricted Wnt signal induces an oriented cell division that generates distinct cell fates at predictable positions relative to the Wnt source.

}, keywords = {Animals, Asymmetric Cell Division, beta Catenin, Cell Differentiation, Cells, Centrosome, Cultured, Cytokinesis, Embryonic Stem Cells, Gene Expression, Homeodomain Proteins, Mice, Mitosis, Octamer Transcription Factor-3, Pluripotent Stem Cells, Recombinant Proteins, Single-Cell Analysis, Transcription Factors, Wnt Proteins, Wnt Signaling Pathway, Wnt3A Protein}, issn = {1095-9203}, doi = {10.1126/science.1231077}, author = {Habib, Shukry J and Chen, Bi-Chang and Tsai, Feng-Chiao and Anastassiadis, Konstantinos and Meyer, Tobias and Betzig, Eric and Nusse, Roel} } @article {6324, title = {Location of the dsRNA-dependent polymerase, VP1, in rotavirus particles.}, journal = {Journal of Molecular Biology}, volume = {425}, year = {2013}, month = {2013 Jan 9}, pages = {124-32}, abstract = {

Double-stranded RNA (dsRNA) viruses transcribe and replicate RNA within an assembled, inner capsid particle; only plus-sense mRNA emerges into the intracellular milieu. During infectious entry of a rotavirus particle, the outer layer of its three-layer structure dissociates, delivering the inner double-layered particle (DLP) into the cytosol. DLP structures determined by X-ray crystallography and electron cryomicroscopy (cryoEM) show that the RNA coils uniformly into the particle interior, avoiding a "fivefold hub" of more structured density projecting inward from the VP2 shell of the DLP along each of the twelve 5-fold axes. Analysis of the X-ray crystallographic electron density map suggested that principal contributors to the hub are the N-terminal arms of VP2, but reexamination of the cryoEM map has shown that many features come from a molecule of VP1, randomly occupying five equivalent and partly overlapping positions. We confirm here that the electron density in the X-ray map leads to the same conclusion, and we describe the functional implications of the orientation and position of the polymerase. The exit channel for the nascent transcript directs the nascent transcript toward an opening along the 5-fold axis. The template strand enters from within the particle, and the dsRNA product of the initial replication step exits in a direction tangential to the inner surface of the VP2 shell, allowing it to coil optimally within the DLP. The polymerases of reoviruses appear to have similar positions and functional orientations.

}, keywords = {Capsid, Computer-Assisted, Cryoelectron Microscopy, Crystallography, Double-Stranded, Image Processing, Messenger, Models, Molecular, RNA, Rotavirus, Viral, Viral Core Proteins, Virus Assembly, X-Ray}, issn = {1089-8638}, doi = {10.1016/j.jmb.2012.10.011}, author = {Estrozi, Leandro F and Settembre, Ethan C and Goret, Ga{\"e}l and McClain, Brian and Zhang, Xing and Chen, James Z and Grigorieff, Nikolaus and Harrison, Stephen C} } @article {6144, title = {A low-bandwidth camera sensor platform with applications in smart camera networks.}, journal = {ACM Transactions on Sensor Networks}, volume = {9}, year = {2013}, month = {2013 Mar}, abstract = {

Smart camera networks have recently emerged as a new class of sensor network infrastructure that is capable of supporting high-power in-network signal processing and enabling a wide range of applications. In this article, we provide an exposition of our efforts to build a low-bandwidth wireless camera network platform, called CITRIC, and its applications in smart camera networks. The platform integrates a camera, a microphone, a frequency-scalable (up to 624 MHz) CPU, 16 MB FLASH, and 64 MB RAM onto a single device. The device then connects with a standard sensor network mote to form a wireless camera mote. With reasonably low power consumption and extensive algorithmic libraries running on a decent operating system that is easy to program, CITRIC is ideal for research and applications in distributed image and video processing. Its capabilities of in-network image processing also reduce communication requirements, which has been high in other existing camera networks with centralized processing. Furthermore, the mote easily integrates with other low-bandwidth sensor networks via the IEEE 802.15.4 protocol. To justify the utility of CITRIC, we present several representative applications. In particular, concrete research results will be demonstrated in two areas, namely, distributed coverage hole identification and distributed object recognition.

}, issn = {1550-4859}, url = {http://dl.acm.org/citation.cfm?doid=2422966.2422978}, author = {Phoebus Chen and Kirak Hong and Nikhil Naikal and S. Shankar Sastry and Doug Tygar and Yan, Posu and Yang, Allen and Chang, Lung-Chung and Lin, Leon and Wang, Simon and Lobaton, Edgar and Oh, Songhwai and Ahammad, Parvez} } @article {5438, title = {A lattice filter model of the visual pathway.}, journal = {Advances in Neural Information Processing Systems}, volume = {24}, year = {2012}, month = {2012}, pages = {1709-17}, abstract = {

Early stages of visual processing are thought to decorrelate, or whiten, the incoming temporally varying signals. Because the typical correlation time of natural stimuli, as well as the extent of temporal receptive fields of lateral geniculate nucleus (LGN) neurons, is much greater than neuronal time constants, such decorrelation must be done in stages combining contributions of multiple neurons. We propose to model temporal decorrelation in the visual pathway with the lattice filter, a signal processing device for stage-wise decorrelation of temporal signals. The stage-wise architecture of the lattice filter maps naturally onto the visual pathway (photoreceptors -\> bipolar cells -\> retinal ganglion cells -\> LGN) and its filter weights can be learned using Hebbian rules in a stage-wise sequential manner. Moreover, predictions of neural activity from the lattice filter model are consistent with physiological measurements in LGN neurons and fruit fly second-order visual neurons. Therefore, the lattice filter model is a useful abstraction that may help unravel visual system function.

}, author = {Gregor, Karol and Chklovskii, Dmitri B} } @proceedings {5767, title = {Learning animal social behavior from trajectory features.}, year = {2012}, month = {2012 Nov}, address = {Tsukuba, Japan}, author = {Eyjolfsdottir, Eyrun and Burgos-Artizzu, Xavier P. and Branson, Steven and Branson, Kristin and Anderson, David and Perona, Pietro} } @conference {6448, title = {Learning hierarchical similarity metrics.}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition}, year = {2012}, month = {2012}, author = {Verma, N and Mahajan, D and Sellamanickam, S and Nair, V} } @conference {48835, title = {Learning visual motion in recurrent neural networks.}, booktitle = {Neural Information Processing Systems (NIPS 2012)}, year = {2012}, month = {12/2003}, address = {Lake Tahoe}, abstract = {

We present a dynamic nonlinear generative model for visual motion based on a latent representation of binary-gated Gaussian variables. Trained on sequences of images, the model learns to represent different movement directions in different variables. We use an online approximate-inference scheme that can be mapped to the dynamics of networks of neurons. Probed with drifting grating stimuli and moving bars of light, neurons in the model show patterns of responses analogous to those of direction-selective simple cells in primary visual cortex. Most model neurons also show speed tuning and respond equally well to a range of motion directions and speeds aligned to the constraint line of their respective preferred speed. We show how these computations are enabled by a specific pattern of recurrent connections learned by the model.

}, url = {http://papers.nips.cc/paper/4814-learning-visual-motion-in-recurrent-neural-networks}, author = {Pachitariu, Marius and Sahani, Maneesh} } @article {3836, title = {Light sheet microscopy of living or cleared specimens.}, journal = {Current Opinion in Neurobiology}, volume = {22}, year = {2012}, month = {2012 Feb}, pages = {138-43}, abstract = {

Light sheet microscopy is a versatile imaging technique with a unique combination of capabilities. It provides high imaging speed, high signal-to-noise ratio and low levels of photobleaching and phototoxic effects. These properties are crucial in a wide range of applications in the life sciences, from live imaging of fast dynamic processes in single cells to long-term observation of developmental dynamics in entire large organisms. When combined with tissue clearing methods, light sheet microscopy furthermore allows rapid imaging of large specimens with excellent coverage and high spatial resolution. Even samples up to the size of entire mammalian brains can be efficiently recorded and quantitatively analyzed. Here, we provide an overview of the history of light sheet microscopy, review the development of tissue clearing methods, and discuss recent technical breakthroughs that have the potential to influence the future direction of the field.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2011.08.003}, author = {Keller, Philipp J and Dodt, Hans-Ulrich} } @article {6290, title = {Lineage analysis of Drosophila lateral antennal lobe neurons reveals notch-dependent binary temporal fate decisions.}, journal = {PLoS Biology}, volume = {10}, year = {2012}, month = {2012 Nov 20}, pages = {e1001425}, abstract = {

Binary cell fate decisions allow the production of distinct sister neurons from an intermediate precursor. Neurons are further diversified based on the birth order of intermediate precursors. Here we examined the interplay between binary cell fate and birth-order-dependent temporal fate in the Drosophila lateral antennal lobe (lAL) neuronal lineage. Single-cell mapping of the lAL lineage by twin-spot mosaic analysis with repressible cell markers (ts-MARCM) revealed that projection neurons (PNs) and local interneurons (LNs) are made in pairs through binary fate decisions. Forty-five types of PNs innervating distinct brain regions arise in a stereotyped sequence; however, the PNs with similar morphologies are not necessarily born in a contiguous window. The LNs are morphologically less diverse than the PNs, and the sequential morphogenetic changes in the two pairs occur independently. Sanpodo-dependent Notch activity promotes and patterns the LN fates. By contrast, Notch diversifies PN temporal fates in a Sanpodo-dispensable manner. These pleiotropic Notch actions underlie the differential temporal fate specification of twin neurons produced by common precursors within a lineage, possibly by modulating postmitotic neurons{\textquoteright} responses to Notch-independent transcriptional cascades.

}, keywords = {Animals, Biological Markers, Brain, Cell Division, Cell Lineage, Cellular, Developmental, Drosophila, Drosophila Proteins, Embryo, Gene Expression Regulation, Genes, Immunohistochemistry, Insect, Larva, Mechanotransduction, Nerve Tissue Proteins, Neurogenesis, Neurons, Nonmammalian, Notch, Receptors, Single-Cell Analysis}, issn = {1545-7885}, doi = {10.1371/journal.pbio.1001425}, author = {Lin, Suewei and Kao, Chih-Fei and Yu, Hung-Hsiang and Huang, Yaling and Lee, Tzumin} } @article {46607, title = {Lmo4 in the basolateral complex of the amygdala modulates fear learning.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012 Apr 3}, pages = {e34559}, abstract = {

Pavlovian fear conditioning is an associative learning paradigm in which mice learn to associate a neutral conditioned stimulus with an aversive unconditioned stimulus. In this study, we demonstrate a novel role for the transcriptional regulator Lmo4 in fear learning. LMO4 is predominantly expressed in pyramidal projection neurons of the basolateral complex of the amygdala (BLC). Mice heterozygous for a genetrap insertion in the Lmo4 locus (Lmo4gt/+), which express 50\% less Lmo4 than their wild type (WT) counterparts display enhanced freezing to both the context and the cue in which they received the aversive stimulus. Small-hairpin RNA-mediated knockdown of Lmo4 in the BLC, but not the dentate gyrus region of the hippocampus recapitulated this enhanced conditioning phenotype, suggesting an adult- and brain region-specific role for Lmo4 in fear learning. Immunohistochemical analyses revealed an increase in the number of c-Fos positive puncta in the BLC of Lmo4gt/+ mice in comparison to their WT counterparts after fear conditioning. Lastly, we measured anxiety-like behavior in Lmo4gt/+ mice and in mice with BLC-specific downregulation of Lmo4 using the elevated plus maze, open field, and light/dark box tests. Global or BLC-specific knockdown of Lmo4 did not significantly affect anxiety-like behavior. These results suggest a selective role for LMO4 in the BLC in modulating learned but not unlearned fear.

}, keywords = {Adaptor Proteins, Signal Transducing, Amygdala, Animals, Behavior, Animal, Conditioning (Psychology), Cues, Fear, Gene Knockdown Techniques, LIM Domain Proteins, Male, Mice, Mice, Inbred C57BL, Neurons, Protein Transport}, issn = {1932-6203}, doi = {10.1371/journal.pone.0034559}, author = {Maiya, Rajani and Kharazia, Viktor and Lasek, Amy W and Heberlein, Ulrike} } @article {4303, title = {Laminar analysis of excitatory local circuits in vibrissal motor and sensory cortical areas.}, journal = {PLoS Biology}, volume = {9}, year = {2011}, month = {2011 Jan 4}, pages = {e1000572}, abstract = {

Rodents move their whiskers to locate and identify objects. Cortical areas involved in vibrissal somatosensation and sensorimotor integration include the vibrissal area of the primary motor cortex (vM1), primary somatosensory cortex (vS1; barrel cortex), and secondary somatosensory cortex (S2). We mapped local excitatory pathways in each area across all cortical layers using glutamate uncaging and laser scanning photostimulation. We analyzed these maps to derive laminar connectivity matrices describing the average strengths of pathways between individual neurons in different layers and between entire cortical layers. In vM1, the strongest projection was L2/3{\textrightarrow}L5. In vS1, strong projections were L2/3{\textrightarrow}L5 and L4{\textrightarrow}L3. L6 input and output were weak in both areas. In S2, L2/3{\textrightarrow}L5 exceeded the strength of the ascending L4{\textrightarrow}L3 projection, and local input to L6 was prominent. The most conserved pathways were L2/3{\textrightarrow}L5, and the most variable were L4{\textrightarrow}L2/3 and pathways involving L6. Local excitatory circuits in different cortical areas are organized around a prominent descending pathway from L2/3{\textrightarrow}L5, suggesting that sensory cortices are elaborations on a basic motor cortex-like plan.

}, keywords = {Animals, Brain Mapping, Mice, Motor Cortex, Nerve Net, Presynaptic Terminals, Somatosensory Cortex, Vibrissae}, issn = {1545-7885}, doi = {10.1371/journal.pbio.1000572}, author = {Hooks, B M and Hires, S Andrew and Zhang, Ying-Xin and Huber, Daniel and Petreanu, Leopoldo and Svoboda, Karel and Shepherd, Gordon M G} } @article {4326, title = {Large-scale automated histology in the pursuit of connectomes.}, journal = {The Journal of Neuroscience: The Official Journal of the Society for Neuroscience}, volume = {31}, year = {2011}, month = {2011 Nov 9}, pages = {16125-38}, abstract = {

How does the brain compute? Answering this question necessitates neuronal connectomes, annotated graphs of all synaptic connections within defined brain areas. Further, understanding the energetics of the brain{\textquoteright}s computations requires vascular graphs. The assembly of a connectome requires sensitive hardware tools to measure neuronal and neurovascular features in all three dimensions, as well as software and machine learning for data analysis and visualization. We present the state of the art on the reconstruction of circuits and vasculature that link brain anatomy and function. Analysis at the scale of tens of nanometers yields connections between identified neurons, while analysis at the micrometer scale yields probabilistic rules of connection between neurons and exact vascular connectivity.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.4077-11.2011}, author = {Kleinfeld, David and Bharioke, Arjun and Blinder, Pablo and Bock, Davi D and Briggman, Kevin L and Chklovskii, Dmitri B and Denk, Winfried and Helmstaedter, Moritz and Kaufhold, John P and Lee, Wei-Chung Allen and Meyer, Hanno S and Micheva, Kristina D and Oberlaender, Marcel and Prohaska, Steffen and Reid, R Clay and Smith, Stephen J and Takemura, Shinya and Tsai, Philbert S and Sakmann, Bert} } @article {47706, title = {Learning, memory, and the role of neural network architecture.}, journal = {PLoS computational biology}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002063}, abstract = {

The performance of information processing systems, from artificial neural networks to natural neuronal ensembles, depends heavily on the underlying system architecture. In this study, we compare the performance of parallel and layered network architectures during sequential tasks that require both acquisition and retention of information, thereby identifying tradeoffs between learning and memory processes. During the task of supervised, sequential function approximation, networks produce and adapt representations of external information. Performance is evaluated by statistically analyzing the error in these representations while varying the initial network state, the structure of the external information, and the time given to learn the information. We link performance to complexity in network architecture by characterizing local error landscape curvature. We find that variations in error landscape structure give rise to tradeoffs in performance; these include the ability of the network to maximize accuracy versus minimize inaccuracy and produce specific versus generalizable representations of information. Parallel networks generate smooth error landscapes with deep, narrow minima, enabling them to find highly specific representations given sufficient time. While accurate, however, these representations are difficult to generalize. In contrast, layered networks generate rough error landscapes with a variety of local minima, allowing them to quickly find coarse representations. Although less accurate, these representations are easily adaptable. The presence of measurable performance tradeoffs in both layered and parallel networks has implications for understanding the behavior of a wide variety of natural and artificial learning systems.

}, keywords = {Computational Biology, Humans, Learning, Memory, Models, Neurological, Nerve Net, Neural Networks (Computer)}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1002063}, author = {Hermundstad, Ann M and Brown, Kevin S and Bassett, Danielle S and Carlson, Jean M} } @article {3846, title = {Learning to agglomerate superpixel hierarchies.}, journal = {Neural Information Processing Systems}, volume = {24}, year = {2011}, month = {2011}, pages = {648-56}, abstract = {

An agglomerative clustering algorithm merges the most similar pair of clusters at every iteration. The function that evaluates similarity is traditionally handdesigned, but there has been recent interest in supervised or semisupervised settings in which ground-truth clustered data is available for training. Here we show how to train a similarity function by regarding it as the action-value function of a reinforcement learning problem. We apply this general method to segment images by clustering superpixels, an application that we call Learning to Agglomerate Superpixel Hierarchies (LASH). When applied to a challenging dataset of brain images from serial electron microscopy, LASH dramatically improved segmentation accuracy when clustering supervoxels generated by state of the boundary detection algorithms. The naive strategy of directly training only supervoxel similarities and applying single linkage clustering produced less improvement.

}, author = {Jain, Viren and Turaga, Srinivas and Briggman, Kevin and Helmstaedter, Moritz N. and Denk, Winfried and Seung, Sebastian} } @proceedings {46351, title = {Learning to Agglomerate Superpixel Hierarchies}, volume = {24}, year = {2011}, month = {12/2011}, publisher = {MIT Press}, address = {Granada, Spain}, abstract = {

An agglomerative clustering algorithm merges the most similar pair of clusters at every iteration. The function that evaluates similarity is traditionally hand- designed, but there has been recent interest in supervised or semisupervised settings in which ground-truth clustered data is available for training. Here we show how to train a similarity function by regarding it as the action-value function of a reinforcement learning problem. We apply this general method to segment images by clustering superpixels, an application that we call Learning to Agglomerate Superpixel Hierarchies (LASH). When applied to a challenging dataset of brain images from serial electron microscopy, LASH dramatically improved segmentation accuracy when clustering supervoxels generated by state of the boundary detection algorithms. The naive strategy of directly training only supervoxel similarities and applying single linkage clustering produced less improvement.

}, author = {Viren Jain and Srinivas C. Turaga and K Briggman and Moritz N. Helmstaedter and Winfried Denk and H. S. Seung} } @article {2720, title = {Limiting amounts of centrosome material set centrosome size in C.elegans embryos.}, journal = {Current Biology}, volume = {21}, year = {2011}, month = {2011 Aug 9}, pages = {1259-67}, abstract = {

The ways in which cells set the size of intracellular structures is an important but largely unsolved problem [1]. Early embryonic divisions pose special problems in this regard. Many checkpoints common in somatic cells are missing from these divisions, which are characterized by rapid reductions in cell size and short cell cycles [2]. Embryonic cells must therefore possess simple and robust mechanisms that allow the size of many of their intracellular structures to rapidly scale with cell size.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2011.06.002}, author = {Decker, Markus and Jaensch, Steffen and Pozniakovsky, A and Zinke, A and O{\textquoteright}Connell, K F and Zachariae, W and Myers, Eugene and Hyman, Anthony A} } @article {65011, title = {Lineage-based analysis of the development of the central complex of the Drosophila brain.}, journal = {J Comp Neurol}, volume = {519}, year = {2011}, month = {2011 Mar 01}, pages = {661-89}, abstract = {

Most neurons of the central complex belong to 10 secondary (larvally produced) lineages. In the late larva, undifferentiated axon tracts of these lineages form a primordium in which all of the compartments of the central complex can be recognized as discrete entities. Four posterior lineages (DPMm1, DPMpm1, DPMpm2, and CM4) generate the classes of small-field neurons that interconnect the protocerebral bridge, fan-shaped body, noduli, and ellipsoid body. Three lineages located in the anterior brain, DALv2, BAmv1, and DALcl2, form the large-field neurons of the ellipsoid body and fan-shaped body, respectively. These lineages provide an input channel from the optic tubercle and connect the central complex with adjacent anterior brain compartments. Three lineages in the posterior cortex, CM3, CP2, and DPMpl2, connect the posterior brain neuropil with specific layers of the fan-shaped body. Even though all of the compartments of the central complex are prefigured in the late larval brain by the axon tracts of the above-mentioned lineages, the neuropil differentiates during the first 2 days of the pupal period when terminal branches and synapses of secondary neurons are formed. During this phase the initially straight horizontal layers of the central complex bend in the frontal plane, which produces the characteristic shape of the fan-shaped and ellipsoid body. Our analysis provides a comprehensive picture of the lineages that form the central complex, and will facilitate future studies that address the structure or function of the central complex at the single cell level.

}, keywords = {Animals, Brain, Cell Lineage, Drosophila melanogaster, Drosophila Proteins, Metamorphosis, Biological, Morphogenesis, Neurons}, issn = {1096-9861}, doi = {10.1002/cne.22542}, author = {Pereanu, Wayne and Younossi-Hartenstein, Amelia and Lovick, Jennifer and Spindler, Shana and Hartenstein, Volker} } @article {46612, title = {Lmo genes regulate behavioral responses to ethanol in Drosophila melanogaster and the mouse.}, journal = {Alcoholism, Clinical and Experimental Research}, volume = {35}, year = {2011}, month = {2011 Sep}, pages = {1600-6}, abstract = {

BACKGROUND: Previous work from our laboratory demonstrated a role for the Drosophila Lim-only (dLmo) gene in regulating behavioral responses to cocaine. Herein, we examined whether dLmo influences the flies{\textquoteright} sensitivity to ethanol{\textquoteright}s sedating effects. We also investigated whether 1 of the mammalian homologs of dLmo, Lmo3, is involved in behavioral responses to ethanol in mice.

METHODS: To examine dLmo function in ethanol-induced sedation, mutant flies with reduced or increased dLmo expression were tested using the loss of righting (LOR) assay. To determine whether mouse Lmo3 regulates behavioral responses to ethanol, we generated transgenic mice expressing a short-hairpin RNA targeting Lmo3 for RNA interference-mediated knockdown by lentiviral infection of single cell embryos. Adult founder mice, expressing varying amounts of Lmo3 in the brain, were tested using ethanol loss-of-righting-reflex (LORR) and 2-bottle choice ethanol consumption assays.

RESULTS: We found that in flies, reduced dLmo activity increased sensitivity to ethanol-induced sedation, whereas increased expression of dLmo led to increased resistance to ethanol-induced sedation. In mice, reduced levels of Lmo3 were correlated with increased sedation time in the LORR test and decreased ethanol consumption in the 2-bottle choice protocol.

CONCLUSIONS: These data describe a novel and conserved role for Lmo genes in flies and mice in behavioral responses to ethanol. These studies also demonstrate the feasibility of rapidly translating findings from invertebrate systems to mammalian models of alcohol abuse by combining RNA interference in transgenic mice and behavioral testing.

}, keywords = {Adaptor Proteins, Signal Transducing, Animals, Behavior, Animal, Brain, Central Nervous System Depressants, Disease Models, Animal, Drosophila melanogaster, Drosophila Proteins, Ethanol, Female, Genotype, Green Fluorescent Proteins, Homeodomain Proteins, Hypnotics and Sedatives, LIM Domain Proteins, Male, Mice, Mice, Inbred C57BL, Mice, Transgenic, RNA, Small Interfering}, issn = {1530-0277}, doi = {10.1111/j.1530-0277.2011.01506.x}, author = {Lasek, Amy W and Giorgetti, Francesco and Berger, Karen H and Tayor, Stacy and Heberlein, Ulrike} } @article {5283, title = {Long-range neuronal circuits underlying the interaction between sensory and motor cortex.}, journal = {Neuron}, volume = {72}, year = {2011}, month = {2011 Oct 6}, pages = {111-23}, abstract = {

In the rodent vibrissal system, active sensation and sensorimotor integration are mediated in part by connections between barrel cortex and vibrissal motor cortex. Little is known about how these structures interact at the level of neurons. We used Channelrhodopsin-2 (ChR2) expression, combined with anterograde and retrograde labeling, to map connections between barrel cortex and pyramidal neurons in mouse motor cortex. Barrel cortex axons preferentially targeted upper layer (L2/3, L5A) neurons in motor cortex; input to neurons projecting back to barrel cortex was particularly strong. Barrel cortex input to deeper layers (L5B, L6) of motor cortex, including neurons projecting to the brainstem, was weak, despite pronounced geometric overlap of dendrites with axons from barrel cortex. Neurons in different layers received barrel cortex input within stereotyped dendritic domains. The cortico-cortical neurons in superficial layers of motor cortex thus couple motor and sensory signals and might mediate sensorimotor integration and motor learning.

}, keywords = {Animals, Inbred C57BL, Membrane Potentials, Mice, Molecular Imaging, Motor Cortex, Neural Pathways, Neuroanatomical Tract-Tracing Techniques, Neurons, Somatosensory Cortex, Vibrissae}, issn = {1097-4199}, doi = {10.1016/j.neuron.2011.07.029}, author = {Mao, Tianyi and Kusefoglu, Deniz and Hooks, Bryan M and Huber, Daniel and Petreanu, Leopoldo and Svoboda, Karel} } @article {4288, title = {Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice.}, journal = {Nature}, volume = {464}, year = {2010}, month = {2010 Apr 22}, pages = {1182-6}, abstract = {

Cortical neurons form specific circuits, but the functional structure of this microarchitecture and its relation to behaviour are poorly understood. Two-photon calcium imaging can monitor activity of spatially defined neuronal ensembles in the mammalian cortex. Here we applied this technique to the motor cortex of mice performing a choice behaviour. Head-fixed mice were trained to lick in response to one of two odours, and to withhold licking for the other odour. Mice routinely showed significant learning within the first behavioural session and across sessions. Microstimulation and trans-synaptic tracing identified two non-overlapping candidate tongue motor cortical areas. Inactivating either area impaired voluntary licking. Imaging in layer 2/3 showed neurons with diverse response types in both areas. Activity in approximately half of the imaged neurons distinguished trial types associated with different actions. Many neurons showed modulation coinciding with or preceding the action, consistent with their involvement in motor control. Neurons with different response types were spatially intermingled. Nearby neurons (within approximately 150 mum) showed pronounced coincident activity. These temporal correlations increased with learning within and across behavioural sessions, specifically for neuron pairs with similar response types. We propose that correlated activity in specific ensembles of functionally related neurons is a signature of learning-related circuit plasticity. Our findings reveal a fine-scale and dynamic organization of the frontal cortex that probably underlies flexible behaviour.

}, keywords = {Animal, Animals, Axonal Transport, Behavior, Chemical, Choice Behavior, Inbred C57BL, Learning, Male, Mice, Motor Cortex, Motor Neurons, Neural Pathways, Odors, Pyramidal Cells, Reward, Stimulation, Time Factors, Tongue}, issn = {1476-4687}, doi = {10.1038/nature08897}, author = {Komiyama, Takaki and Sato, Takashi R and O{\textquoteright}Connor, Daniel H and Zhang, Ying-Xin and Huber, Daniel and Hooks, Bryan M and Gabitto, Mariano and Svoboda, Karel} } @article {4299, title = {Light-avoidance-mediating photoreceptors tile the Drosophila larval body wall.}, journal = {Nature}, volume = {468}, year = {2010}, month = {2010 Dec 16}, pages = {921-6}, abstract = {

Photoreceptors for visual perception, phototaxis or light avoidance are typically clustered in eyes or related structures such as the Bolwig organ of Drosophila larvae. Unexpectedly, we found that the class IV dendritic arborization neurons of Drosophila melanogaster larvae respond to ultraviolet, violet and blue light, and are major mediators of light avoidance, particularly at high intensities. These class IV dendritic arborization neurons, which are present in every body segment, have dendrites tiling the larval body wall nearly completely without redundancy. Dendritic illumination activates class IV dendritic arborization neurons. These novel photoreceptors use phototransduction machinery distinct from other photoreceptors in Drosophila and enable larvae to sense light exposure over their entire bodies and move out of danger.

}, keywords = {Animal Structures, Animals, Avoidance Learning, Cell Surface, Cells, Cultured, Dermis, Drosophila melanogaster, Drosophila Proteins, Invertebrate, Larva, Light, Light Signal Transduction, Neurons, Photoreceptor Cells, Receptors, TRPC Cation Channels}, issn = {1476-4687}, doi = {10.1038/nature09576}, author = {Xiang, Yang and Yuan, Quan and Vogt, Nina and Looger, Loren L and Jan, Lily Yeh and Jan, Yuh Nung} } @article {5367, title = {Lineage-based connectivity map of the Drosophila brain.}, journal = {Journal of Neurogenetics}, volume = {24}, year = {2010}, month = {2010}, pages = {79}, author = {Hartenstein, Volker and Pereanu, Wayne and Truman, Jim and Cardona, Albert} } @article {782, title = {Lineage-specific effects of Notch/Numb signaling in post-embryonic development of the Drosophila brain.}, journal = {Development}, volume = {137}, year = {2010}, month = {2010 Jan}, pages = {43-51}, abstract = {

Numb can antagonize Notch signaling to diversify the fates of sister cells. We report here that paired sister cells acquire different fates in all three Drosophila neuronal lineages that make diverse types of antennal lobe projection neurons (PNs). Only one in each pair of postmitotic neurons survives into the adult stage in both anterodorsal (ad) and ventral (v) PN lineages. Notably, Notch signaling specifies the PN fate in the vPN lineage but promotes programmed cell death in the missing siblings in the adPN lineage. In addition, Notch/Numb-mediated binary sibling fates underlie the production of PNs and local interneurons from common precursors in the lAL lineage. Furthermore, Numb is needed in the lateral but not adPN or vPN lineages to prevent the appearance of ectopic neuroblasts and to ensure proper self-renewal of neural progenitors. These lineage-specific outputs of Notch/Numb signaling show that a universal mechanism of binary fate decision can be utilized to govern diverse neural sibling differentiations.

}, keywords = {Animals, Apoptosis, Biological, Brain, Developmental, Drosophila, Drosophila Proteins, Gene Expression Regulation, Immunohistochemistry, Juvenile Hormones, Models, Nerve Tissue Proteins, Neurons, Notch, POU Domain Factors, Receptors, Signal Transduction}, issn = {1477-9129}, doi = {10.1242/dev.041699}, author = {Lin, Suewei and Lai, Sen-Lin and Yu, Huang-Hsiang and Chihara, Takahiro and Luo, Liqun and Lee, Tzumin} } @article {47684, title = {Lipids and cholesterol as regulators of traffic in the endomembrane system.}, journal = {Annual review of biophysics}, volume = {39}, year = {2010}, month = {2010}, pages = {559-78}, abstract = {

The endomembrane system of eukaryotic cells uses membrane-enclosed carriers to move diverse macromolecules among different membrane-bound compartments, a requirement for cells to secrete and take up molecules from their environment. Two recycling pathways-biosynthetic and endocytic, each with specific lipid components-make up this system, with the Golgi apparatus mediating transport between the two. Here, we integrate lipid-based mechanisms into the description of this system. A partitioning model of the Golgi apparatus is discussed as a working hypothesis to explain how membrane lipids and proteins that are segregated based on lateral lipid partitioning support the unique composition of the biosynthetic and endocytic recycling pathways in the face of constant trafficking of molecular constituents. We further discuss how computational modeling can allow for interpretation of experimental findings and provide mechanistic insight into these important cellular pathways.

}, keywords = {Animals, Bacteria, Cholesterol, Endocytosis, Golgi Apparatus, Humans, Intracellular Membranes, Lipid Metabolism, Protein Transport}, issn = {1936-1238}, doi = {10.1146/annurev.biophys.093008.131357}, author = {Lippincott-Schwartz, Jennifer and Phair, Robert D} } @article {46616, title = {Lmo4 in the nucleus accumbens regulates cocaine sensitivity.}, journal = {Genes, Brain, and Behavior}, volume = {9}, year = {2010}, month = {2010 Oct}, pages = {817-24}, abstract = {

An estimated 2 million Americans use cocaine, resulting in large personal and societal costs. Discovery of the genetic factors that contribute to cocaine abuse is important for understanding this complex disease. Previously, mutations in the Drosophila LIM-only (dLmo) gene were identified because of their increased behavioral sensitivity to cocaine. Here we show that the mammalian homolog Lmo4, which is highly expressed in brain regions implicated in drug addiction, plays a similar role in cocaine-induced behaviors. Mice with a global reduction in Lmo4 levels show increased sensitivity to the locomotor stimulatory effects of cocaine upon chronic cocaine administration. This effect is reproduced with downregulation of Lmo4 in the nucleus accumbens by RNA interference. Thus, Lmo genes play conserved roles in regulating the behavioral effects of cocaine in invertebrate and mammalian models of drug addiction.

}, keywords = {Adaptor Proteins, Signal Transducing, Animals, Behavior, Animal, beta-Galactosidase, Cells, Cultured, Cloning, Molecular, Cocaine, Dendritic Spines, Dopamine Uptake Inhibitors, Gene Expression, Homeodomain Proteins, Immunohistochemistry, Lentivirus, LIM Domain Proteins, Male, Mice, Mice, Inbred C57BL, Microdissection, Motor Activity, Mutagenesis, Insertional, Nucleus Accumbens, Reverse Transcriptase Polymerase Chain Reaction, RNA, RNA Interference, Stereotaxic Techniques, Transcription Factors}, issn = {1601-183X}, doi = {10.1111/j.1601-183X.2010.00620.x}, author = {Lasek, A W and Kapfhamer, D and Kharazia, V and Gesch, J and Giorgetti, F and Heberlein, U} } @article {47677, title = {The long road: peering into live cells.}, journal = {Nature cell biology}, volume = {12}, year = {2010}, month = {2010 Oct}, pages = {918}, keywords = {Cell Biology, Cell Survival, Green Fluorescent Proteins, History, 20th Century, History, 21st Century, Microscopy, Fluorescence, Photobleaching, Protein Transport, Research Personnel}, issn = {1476-4679}, doi = {10.1038/ncb1010-918}, author = {Lippincott-Schwartz, Jennifer} } @article {2502, title = {Larval leg integrity is maintained by distal-less and is required for proper timing of metamorphosis in the flour beetle, tribolium castaneum.}, journal = {Developmental Biology}, volume = {326}, year = {2009}, month = {2009 Feb 1}, pages = {60-7}, abstract = {

The dramatic transformation from a larva to an adult must be accompanied by a coordinated activity of genes and hormones that enable an orchestrated transformation from larval to pupal/adult tissues. The maintenance of larval appendages and their subsequent transformation to appendages in holometabolous insects remains elusive at the developmental genetic level. Here the role of a key appendage patterning gene Distal-less (Dll) was examined in mid- to late-larval stages of the flour beetle, Tribolium castaneum. During late larval development, Dll was expressed in appendages in a similar manner as previously reported for the tobacco hornworm, Manduca sexta. Removal of this late Dll expression resulted in disruption of adult appendage patterning. Intriguingly, earlier removal resulted in dramatic loss of structural integrity and identity of larval appendages. A large amount of variability in appendage morphology was observed following Dll dsRNA injection, unlike larvae injected with dachshund dsRNA. These Dll dsRNA-injected larvae underwent numerous supernumerary molts, which could be terminated with injection of either JH methyltransferase or Methoprene-tolerant dsRNA. Apparently, the partial dedifferentiation of the appendages in these larvae acts to maintain high JH and, hence, prevents metamorphosis.

}, keywords = {Animals, Biological, Double-Stranded, Extremities, Homeodomain Proteins, Larva, Metamorphosis, Methoprene, RNA, Transcription Factors, Tribolium}, issn = {1095-564X}, doi = {10.1016/j.ydbio.2008.10.022}, author = {Suzuki, Yuichiro and Squires, Diego C and Riddiford, Lynn M} } @article {4605, title = {Leptin targets in the mouse brain.}, journal = {The Journal of Comparative Neurology}, volume = {514}, year = {2009}, month = {2009 Jun 10}, pages = {518-32}, abstract = {

The central actions of leptin are essential for homeostatic control of adipose tissue mass, glucose metabolism, and many autonomic and neuroendocrine systems. In the brain, leptin acts on numerous different cell types via the long-form leptin receptor (LepRb) to elicit its effects. The precise identification of leptin{\textquoteright}s cellular targets is fundamental to understanding the mechanism of its pleiotropic central actions. We have systematically characterized LepRb distribution in the mouse brain using in situ hybridization in wildtype mice as well as by EYFP immunoreactivity in a novel LepRb-IRES-Cre EYFP reporter mouse line showing high levels of LepRb mRNA/EYFP coexpression. We found substantial LepRb mRNA and EYFP expression in hypothalamic and extrahypothalamic sites described before, including the dorsomedial nucleus of the hypothalamus, ventral premammillary nucleus, ventral tegmental area, parabrachial nucleus, and the dorsal vagal complex. Expression in insular cortex, lateral septal nucleus, medial preoptic area, rostral linear nucleus, and in the Edinger-Westphal nucleus was also observed and had been previously unreported. The LepRb-IRES-Cre reporter line was used to chemically characterize a population of leptin receptor-expressing neurons in the midbrain. Tyrosine hydroxylase and Cre reporter were found to be coexpressed in the ventral tegmental area and in other midbrain dopaminergic neurons. Lastly, the LepRb-IRES-Cre reporter line was used to map the extent of peripheral leptin sensing by central nervous system (CNS) LepRb neurons. Thus, we provide data supporting the use of the LepRb-IRES-Cre line for the assessment of the anatomic and functional characteristics of neurons expressing leptin receptor.

}, keywords = {Animals, Brain, Cell Count, Gene Expression, Immunohistochemistry, In Situ Hybridization, Lac Operon, Leptin, Male, Messenger, Mice, Photomicrography, Receptors, RNA, STAT3 Transcription Factor, Transgenic, Tyrosine 3-Monooxygenase}, issn = {1096-9861}, doi = {10.1002/cne.22025}, author = {Scott, Michael M and Lachey, Jennifer L and Sternson, Scott M and Lee, Charlotte E and Elias, Carol F and Friedman, Jeffrey M and Elmquist, Joel K} } @article {4280, title = {Lessons from a compartmental model of a Drosophila neuron.}, journal = {The Journal of Neuroscience: The Official Journal of the Society for Neuroscience}, volume = {29}, year = {2009}, month = {2009 Sep 30}, pages = {12033-4}, abstract = {

Although the vinegar fly, Drosophila melanogaster, has been a biological model organism for over a century, its emergence as a model system for the study of neurophysiology is comparatively recent. The primary reason for this is that the vinegar fly and its neurons are tiny; up until 5 years ago, it was prohibitively difficult to record intracellularly from individual neurons in the intact Drosophila brain (Wilson et al., 2004). Today, fly electrophysiologists can genetically label neurons with GFP and reliably record from many (but not all) neurons in the fruit fly brain. Using genetic tools to drive expression of fluorescent calcium indicators, light-sensitive ion channels, or cell activity suppressors, we are beginning to understand how the external environment is represented with electrical potentials in Drosophila neurons (for review, see Olsen and Wilson, 2008).

}, keywords = {Animals, Drosophila melanogaster, Humans, Models, Neurological, Neurons}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3348-09.2009}, author = {Tuthill, John C} } @article {1439, title = {Like-charge interactions between colloidal particles are asymmetric with respect to sign.}, journal = {Soft Matter}, year = {2009}, month = {2009}, pages = {1931-6}, abstract = {

Two-dimensional dispersions of colloidal particles with a range of surface chemistries and electrostatic potentials are characterized under a series of solution ionic strengths. A combination of optical imaging techniques are employed to monitor both the colloid structure and the electrostatic surface potential of individual particles in situ. We find that like-charge multiparticle interactions can be tuned from exclusively repulsive to long-range attractive by changing the particle surface composition. This behavior is strongly asymmetric with respect to the sign of the surface potential. Collective long-range attractive interactions are only observed among negatively charged particles.

}, author = {Clack, Nathan G and Salaita, Khalid and Wu, HJ and Groves, JT and Gomez, EW} } @article {3638, title = {Lipid-protein interactions probed by electron crystallography.}, journal = {Current Opinion in Structural Biology}, volume = {19}, year = {2009}, month = {2009 Oct}, pages = {560-5}, abstract = {

Electron crystallography is arguably the only electron cryomicroscopy (cryoEM) technique able to deliver an atomic-resolution structure of membrane proteins embedded in the lipid bilayer. In the electron crystallographic structures of the light driven ion pump, bacteriorhodopsin, and the water channel, aquaporin-0, sufficiently high resolution was obtained and both lipid and protein were visualized, modeled, and described in detail. An extensive network of lipid-protein interactions mimicking native membranes is established and maintained in two-dimensional (2D) crystalline vesicles used for structural analysis by electron crystallography. Lipids are tightly integrated into the protein{\textquoteright}s architecture where they can affect the function, structure, quaternary assembly, and the stability of the membrane protein.

}, keywords = {Crystallography, Electron, Lipids, Microscopy, Models, Molecular, Proteins, X-Ray}, issn = {1879-033X}, doi = {10.1016/j.sbi.2009.07.012}, author = {Reichow, Steve L and Gonen, Tamir} } @article {5243, title = {Local RNA structure alignment with incomplete sequence.}, journal = {Bioinformatics}, volume = {25}, year = {2009}, month = {2009 May 15}, pages = {1236-43}, abstract = {

Accuracy of automated structural RNA alignment is improved by using models that consider not only primary sequence but also secondary structure information. However, current RNA structural alignment approaches tend to perform poorly on incomplete sequence fragments, such as single reads from metagenomic environmental surveys, because nucleotides that are expected to be base paired are missing.

}, keywords = {Algorithms, Databases, Genetic, Models, Molecular, Nucleic Acid Conformation, RNA, Sequence Alignment, Sequence Analysis}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btp154}, author = {Kolbe, Diana L and Eddy, Sean R.} } @article {6492, title = {Loss of sensitivity in an analog neural circuit.}, journal = {The Journal of Neuroscience: The Official Journal of the Society for Neuroscience}, volume = {29}, year = {2009}, month = {2009 Mar 11}, pages = {3045-58}, abstract = {

A low-contrast spot that activates just one ganglion cell in the retina is detected in the spike train of the cell with about the same sensitivity as it is detected behaviorally. This is consistent with Barlow{\textquoteright}s proposal that the ganglion cell and later stages of spiking neurons transfer information essentially without loss. Yet, when losses of sensitivity by all preneural factors are accounted for, predicted sensitivity near threshold is considerably greater than behavioral sensitivity, implying that somewhere in the brain information is lost. We hypothesized that the losses occur mainly in the retina, where graded signals are processed by analog circuits that transfer information at high rates and low metabolic cost. To test this, we constructed a model that included all preneural losses for an in vitro mammalian retina, and evaluated the model to predict sensitivity at the cone output. Recording graded responses postsynaptic to the cones (from the type A horizontal cell) and comparing to predicted preneural sensitivity, we found substantial loss of sensitivity (4.2-fold) across the first visual synapse. Recording spike responses from brisk-transient ganglion cells stimulated with the same spot, we found a similar loss (3.5-fold) across the second synapse. The total retinal loss approximated the known overall loss, supporting the hypothesis that from stimulus to perception, most loss near threshold is retinal.

}, keywords = {Action Potentials, Animals, Contrast Sensitivity, Guinea Pigs, Nerve Net, Photic Stimulation, Visual Pathways}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.5071-08.2009}, author = {Borghuis, Bart G and Sterling, Peter and Smith, Robert G} } @article {2079, title = {Live-cell photoactivated localization microscopy of nanoscale adhesion dynamics.}, journal = {Nature Methods}, volume = {5}, year = {2008}, month = {2008 May}, pages = {417-23}, abstract = {

We demonstrate live-cell super-resolution imaging using photoactivated localization microscopy (PALM). The use of photon-tolerant cell lines in combination with the high resolution and molecular sensitivity of PALM permitted us to investigate the nanoscale dynamics within individual adhesion complexes (ACs) in living cells under physiological conditions for as long as 25 min, with half of the time spent collecting the PALM images at spatial resolutions down to approximately 60 nm and frame rates as short as 25 s. We visualized the formation of ACs and measured the fractional gain and loss of individual paxillin molecules as each AC evolved. By allowing observation of a wide variety of nanoscale dynamics, live-cell PALM provides insights into molecular assembly during the initiation, maturation and dissolution of cellular processes.

Commentary: The first example of true live cell and time lapse imaging by localization microscopy (as opposed to particle tracking), this paper uses the Nyquist criterion to establish a necessary condition for true spatial resolution based on the density of localized molecules {\textendash} a condition often unmet in claims elsewhere in the superresolution literature.
By any method, higher spatiotemporal resolution requires increasing light exposure at the specimen, making noninvasive imaging increasingly difficult. Here, simultaneous differential interference contrast imaging is used to establish that cells behave physiologically before, during, and after PALM imaging. Similar controls are lacking from many supposed {\textquotedblleft}live cell{\textquotedblright} superresolution demonstrations.

}, keywords = {Animals, Cell Adhesion, Cell Survival, CHO Cells, Computer-Assisted, Cricetinae, Cricetulus, Image Processing, Microscopy, Nanotechnology, Paxillin, Protein Transport, Staining and Labeling}, issn = {1548-7105}, doi = {10.1038/nmeth.1202}, url = {http://www.ncbi.nlm.nih.gov/pubmed/18408726}, author = {Shroff, Hari and Galbraith, Catherine G and Galbraith, James A and Betzig, Eric} } @article {1248, title = {Local potential connectivity in cat primary visual cortex.}, journal = {Cerebral Cortex}, volume = {18}, year = {2008}, month = {2008 Jan}, pages = {13-28}, abstract = {

Time invariant description of synaptic connectivity in cortical circuits may be precluded by the ongoing growth and retraction of dendritic spines accompanied by the formation and elimination of synapses. On the other hand, the spatial arrangement of axonal and dendritic branches appears stable. This suggests that an invariant description of connectivity can be cast in terms of potential synapses, which are locations in the neuropil where an axon branch of one neuron is proximal to a dendritic branch of another neuron. In this paper, we attempt to reconstruct the potential connectivity in local cortical circuits of the cat primary visual cortex (V1). Based on multiple single-neuron reconstructions of axonal and dendritic arbors in 3 dimensions, we evaluate the expected number of potential synapses and the probability of potential connectivity among excitatory (pyramidal and spiny stellate) neurons and inhibitory basket cells. The results provide a quantitative description of structural organization of local cortical circuits. For excitatory neurons from different cortical layers, we compute local domains, which contain their potentially pre- and postsynaptic excitatory partners. These domains have columnar shapes with laminar specific radii and are roughly of the size of the ocular dominance column. Therefore, connections between most excitatory neurons in the ocular dominance column can be implemented by local synaptogenesis. Structural connectivity involving inhibitory basket cells is generally weaker than excitatory connectivity. Here, only nearby neurons are capable of establishing more than one potential synapse, implying that within the ocular dominance column these connections have more limited potential for circuit remodeling.

}, keywords = {Animals, Cats, Cells, Cultured, Nerve Net, Neural Pathways, Synapses, Visual Cortex}, issn = {1460-2199}, doi = {10.1093/cercor/bhm027}, author = {Stepanyants, Armen and Hirsch, Judith A and Martinez, Luis M and Kisv{\'a}rday, Zolt{\'a}n F and Ferecsk{\'o}, Alex S and Chklovskii, Dmitri B} } @article {4648, title = {The loci of evolution: how predictable is genetic evolution?}, journal = {Evolution}, volume = {62}, year = {2008}, month = {2008 Sep}, pages = {2155-77}, abstract = {

Is genetic evolution predictable? Evolutionary developmental biologists have argued that, at least for morphological traits, the answer is a resounding yes. Most mutations causing morphological variation are expected to reside in the cis-regulatory, rather than the coding, regions of developmental genes. This "cis-regulatory hypothesis" has recently come under attack. In this review, we first describe and critique the arguments that have been proposed in support of the cis-regulatory hypothesis. We then test the empirical support for the cis-regulatory hypothesis with a comprehensive survey of mutations responsible for phenotypic evolution in multicellular organisms. Cis-regulatory mutations currently represent approximately 22\% of 331 identified genetic changes although the number of cis-regulatory changes published annually is rapidly increasing. Above the species level, cis-regulatory mutations altering morphology are more common than coding changes. Also, above the species level cis-regulatory mutations predominate for genes not involved in terminal differentiation. These patterns imply that the simple question "Do coding or cis-regulatory mutations cause more phenotypic evolution?" hides more interesting phenomena. Evolution in different kinds of populations and over different durations may result in selection of different kinds of mutations. Predicting the genetic basis of evolution requires a comprehensive synthesis of molecular developmental biology and population genetics.

}, keywords = {Animals, Evolution, Humans, Molecular, Phenotype, Regulatory Elements, Transcriptional}, issn = {0014-3820}, doi = {10.1111/j.1558-5646.2008.00450.x}, author = {Stern, David L and Orgogozo, Virginie} } @article {2688, title = {Locomotor control by the central complex in Drosophila-an analysis of the tay bridge mutant.}, journal = {Developmental Neurobiology}, volume = {68}, year = {2008}, month = {2008 Jul}, pages = {1046-58}, abstract = {

Several aspects of locomotor control have been ascribed to the central complex of the insect brain; however, the role of distinct substructures of this complex is not well known. The tay bridge1 (tay1) mutant of Drosophila melanogaster was originally isolated on the basis of reduced walking speed and activity. In addition, tay1 is defective in the compensation of rotatory stimuli during walking and histologically, tay1 causes a mid-sagittal constriction of the protocerebral bridge, a constituent of the central complex. Cloning of the tay gene revealed that it encodes a novel protein with no significant homology to any known protein. To associate the behavioral phenotypes with the anatomical defect in the protocerebral bridge, we used different driver lines to express the tay cDNA in various neuronal subpopulations of the central brain in tay1-mutant flies. These experiments showed an association of the aberrant walking speed and activity with the structural defect in the protocerebral bridge. In contrast, the compensation of rotatory stimuli during walking was rescued without a restoration of the protocerebral bridge. The results of our differential rescue approach are supported by neuronal silencing experiments using conditional tetanus toxin expression in the same subset of neurons. These findings show for the first time that the walking speed and activity is controlled by different substructures of the central brain than the compensatory locomotion for rotatory stimuli.

}, keywords = {Amino Acid Sequence, Animal, Animals, Behavior, Brain, Cell Line, Drosophila melanogaster, Drosophila Proteins, Genetic Vectors, Locomotion, Male, Motor Activity, Mushroom Bodies, Mutation, Neurons, Phenotype, Photic Stimulation, Polymerase Chain Reaction, Transformed}, issn = {1932-8451}, doi = {10.1002/dneu.20643}, author = {Poeck, Burkhard and Triphan, Tilman and Neuser, Kirsa and Strauss, Roland} } @article {46626, title = {Loss of RAB-3/A in Caenorhabditis elegans and the mouse affects behavioral response to ethanol.}, journal = {Genes, Brain, and Behavior}, volume = {7}, year = {2008}, month = {2008 Aug}, pages = {669-76}, abstract = {

The mechanisms by which ethanol induces changes in behavior are not well understood. Here, we show that Caenorhabditis elegans loss-of-function mutations in the synaptic vesicle-associated RAB-3 protein and its guanosine triphosphate exchange factor AEX-3 confer resistance to the acute locomotor effects of ethanol. Similarly, mice lacking one or both copies of Rab3A are resistant to the ataxic and sedative effects of ethanol, and Rab3A haploinsufficiency increases voluntary ethanol consumption. These data suggest a conserved role of RAB-3-/RAB3A-regulated neurotransmitter release in ethanol-related behaviors.

}, keywords = {Alcohol Drinking, Alcohol-Induced Disorders, Nervous System, Animals, Ataxia, Behavior, Animal, Brain, Brain Chemistry, Caenorhabditis elegans, Caenorhabditis elegans Proteins, Central Nervous System Depressants, Consciousness Disorders, Drug Resistance, Ethanol, Haplotypes, Male, Mice, Mice, Inbred C57BL, Mice, Knockout, rab3 GTP-Binding Proteins, rab3A GTP-Binding Protein}, issn = {1601-183X}, doi = {10.1111/j.1601-183X.2008.00404.x}, author = {Kapfhamer, D and Bettinger, J C and Davies, A G and Eastman, C L and Smail, E A and Heberlein, U and McIntire, S L} } @article {4222, title = {Locally dynamic synaptic learning rules in pyramidal neuron dendrites.}, journal = {Nature}, volume = {450}, year = {2007}, month = {2007 Dec 20}, pages = {1195-200}, abstract = {

Long-term potentiation (LTP) of synaptic transmission underlies aspects of learning and memory. LTP is input-specific at the level of individual synapses, but neural network models predict interactions between plasticity at nearby synapses. Here we show in mouse hippocampal pyramidal cells that LTP at individual synapses reduces the threshold for potentiation at neighbouring synapses. After input-specific LTP induction by two-photon glutamate uncaging or by synaptic stimulation, subthreshold stimuli, which by themselves were too weak to trigger LTP, caused robust LTP and spine enlargement at neighbouring spines. Furthermore, LTP induction broadened the presynaptic-postsynaptic spike interval for spike-timing-dependent LTP within a dendritic neighbourhood. The reduction in the threshold for LTP induction lasted approximately 10 min and spread over approximately 10 microm of dendrite. These local interactions between neighbouring synapses support clustered plasticity models of memory storage and could allow for the binding of behaviourally linked information on the same dendritic branch.

}, keywords = {Animals, Dendrites, Excitatory Postsynaptic Potentials, Glutamic Acid, Learning, Long-Term Potentiation, Mice, Models, Neurological, Pyramidal Cells, Synapses}, issn = {1476-4687}, doi = {10.1038/nature06416}, author = {Harvey, Christopher D and Svoboda, Karel} } @article {6250, title = {Lola regulates Drosophila olfactory projection neuron identity and targeting specificity.}, journal = {Neural Development}, volume = {2}, year = {2007}, month = {2007 Jul 16}, pages = {14}, abstract = {

BACKGROUND: Precise connections of neural circuits can be specified by genetic programming. In the Drosophila olfactory system, projection neurons (PNs) send dendrites to single glomeruli in the antenna lobe (AL) based upon lineage and birth order and send axons with stereotyped terminations to higher olfactory centers. These decisions are likely specified by a PN-intrinsic transcriptional code that regulates the expression of cell-surface molecules to instruct wiring specificity. RESULTS: We find that the loss of longitudinals lacking (lola), which encodes a BTB-Zn-finger transcription factor with 20 predicted splice isoforms, results in wiring defects in both axons and dendrites of all lineages of PNs. RNA in situ hybridization and quantitative RT-PCR suggest that most if not all lola isoforms are expressed in all PNs, but different isoforms are expressed at widely varying levels. Overexpression of individual lola isoforms fails to rescue the lola null phenotypes and causes additional phenotypes. Loss of lola also results in ectopic expression of Gal4 drivers in multiple cell types and in the loss of transcription factor gene lim1 expression in ventral PNs. CONCLUSION: Our results indicate that lola is required for wiring of axons and dendrites of most PN classes, and suggest a need for its molecular diversity. Expression pattern changes of Gal4 drivers in lola-/- clones imply that lola normally represses the expression of these regulatory elements in a subset of the cells surrounding the AL. We propose that Lola functions as a general transcription factor that regulates the expression of multiple genes ultimately controlling PN identity and wiring specificity.

}, keywords = {Animals, Body Patterning, Brain, Cell Differentiation, Dendrites, Developmental, Drosophila melanogaster, Drosophila Proteins, Gene Expression Regulation, Growth Cones, Larva, Olfactory Pathways, Olfactory Receptor Neurons, Regulatory Elements, Transcription Factors, Transcriptional, Transcriptional Activation}, issn = {1749-8104}, doi = {10.1186/1749-8104-2-14}, author = {Spletter, Maria Lynn and Liu, Jian and Liu, Justin and Su, Helen and Giniger, Edward and Komiyama, Takaki and Quake, Stephen and Luo, Liqun} } @proceedings {5679, title = {Large-scale biophysical parameter estimation in single neurons via constrained linear regression.}, volume = {18}, year = {2006}, month = {2006}, publisher = {MIT press}, abstract = {

Our understanding of the input-output function of single cells has been substantially advanced by biophysically accurate multi-compartmental models. The large number of parameters needing hand tuning in these models has, however, somewhat hampered their applicability and interpretability. Here we propose a simple and well-founded method for automatic estimation of many of these key parameters: 1) the spatial distribution of channel densities on the cell{\textquoteright}s membrane; 2) the spatiotemporal pattern of synaptic input; 3) the channels{\textquoteright} reversal potentials; 4) the intercompartmental conductances; and 5) the noise level in each compartment. We assume experimental access to: a) the spatiotemporal voltage signal in the dendrite (or some contiguous subpart thereof, e.g. via voltage sensitive imaging techniques), b) an approximate kinetic description of the channels and synapses present in each compartment, and c) the morphology of the part of the neuron under investigation. The key observation is that, given data a)-c), all of the parameters 1)-4) may be simultaneously inferred by a version of constrained linear regression; this regression, in turn, is efficiently solved using standard algorithms, without any {\textquotedblleft}local minima{\textquotedblright} problems despite the large number of parameters and complex dynamics. The noise level 5) may also be estimated by standard techniques. We demonstrate the method{\textquoteright}s accuracy on several model datasets, and describe techniques for quantifying the uncertainty in our estimates.

}, author = {Ahrens, MB and Huys, QJM and Paninski, L} } @article {45751, title = {Large-scale gene discovery in the pea aphid Acyrthosiphon pisum (Hemiptera).}, journal = {Genome Biol}, volume = {7}, year = {2006}, month = {2006}, pages = {R21}, abstract = {

Aphids are the leading pests in agricultural crops. A large-scale sequencing of 40,904 ESTs from the pea aphid Acyrthosiphon pisum was carried out to define a catalog of 12,082 unique transcripts. A strong AT bias was found, indicating a compositional shift between Drosophila melanogaster and A. pisum. An in silico profiling analysis characterized 135 transcripts specific to pea-aphid tissues (relating to bacteriocytes and parthenogenetic embryos). This project is the first to address the genetics of the Hemiptera and of a hemimetabolous insect.

}, keywords = {Animals, Aphids, Base Composition, Base Sequence, DNA, DNA, Complementary, Expressed Sequence Tags, Gene Library, Microsatellite Repeats, Peas, Phylogeny, Plant Diseases, Population Density, Transcription, Genetic}, issn = {1465-6914}, doi = {10.1186/gb-2006-7-3-r21}, author = {Sabater-Mu{\~n}oz, Beatriz and Legeai, Fabrice and Rispe, Claude and Bonhomme, Jo{\"e}l and Dearden, Peter and Dossat, Carole and Duclert, Aymeric and Gauthier, Jean-Pierre and Ducray, Dani{\`e}le Giblot and Hunter, Wayne and Dang, Phat and Kambhampati, Srini and Martinez-Torres, David and Cortes, Teresa and Moya, Andr{\`e}s and Nakabachi, Atsushi and Philippe, Cathy and Prunier-Leterme, Nathalie and Rahb{\'e}, Yvan and Simon, Jean-Christophe and Stern, David L and Wincker, Patrick and Tagu, Denis} } @article {1106, title = {Latent blue and red fluorophores based on the trimethyl lock.}, journal = {Chembiochem: A European Journal of Chemical Biology}, volume = {7}, year = {2006}, month = {2006 Aug}, pages = {1151-4}, keywords = {Animals, Cell Line, Color, Fluorescence, Fluorescent Dyes, Humans, Kinetics, Methylation, Molecular Structure, Tumor, Umbelliferones}, issn = {1439-4227}, doi = {10.1002/cbic.200500559}, author = {Lavis, Luke D and Chao, Tzu-Yuan and Raines, Ronald T} } @article {1690, title = {Life sciences require the third dimension.}, journal = {Current Opinion in Cell Biology}, volume = {18}, year = {2006}, month = {2006 Feb}, pages = {117-24}, abstract = {

Novel technologies are required for three-dimensional cell biology and biophysics. By three-dimensional we refer to experimental conditions that essentially try to avoid hard and flat surfaces and favour unconstrained sample dynamics. We believe that light-sheet-based microscopes are particularly well suited to studies of sensitive three-dimensional biological systems. The application of such instruments can be illustrated with examples from the biophysics of microtubule dynamics and three-dimensional cell cultures. Our experience leads us to suggest that three-dimensional approaches reveal new aspects of a system and enable experiments to be performed in a more physiological and hence clinically more relevant context.

}, keywords = {Animals, Biological Science Disciplines, Cell Line, Computer-Assisted, Dogs, Fluorescence, Image Processing, Imaging, Microscopy, Microtubules, Paclitaxel, Three-Dimensional}, issn = {0955-0674}, doi = {10.1016/j.ceb.2005.12.012}, author = {Keller, Philipp J and Pampaloni, Francesco and Stelzer, Ernst H K} } @article {2444, title = {Local caspase activity directs engulfment of dendrites during pruning.}, journal = {Nature Neuroscience}, volume = {9}, year = {2006}, month = {2006 Oct}, pages = {1234-6}, abstract = {

Pruning is important for sculpting neural circuits, as it removes excessive or inaccurate projections. Here we show that the removal of sensory neuron dendrites during pruning in Drosophila melanogaster is directed by local caspase activity. Suppressing caspase activity prevented dendrite removal, whereas a global activation of caspases within a neuron caused cell death. A new genetically encoded caspase probe revealed that caspase activity is confined to the degenerating dendrites of pruning neurons.

}, keywords = {Afferent, Analysis of Variance, Animals, Apoptosis, Caspases, Dendrites, Drosophila melanogaster, Drosophila Proteins, Enzyme Activation, Enzyme Inhibitors, Fluorescent Antibody Technique, Ganglia, Genetically Modified, Neurons, Spinal, Time Factors}, issn = {1097-6256}, doi = {10.1038/nn1774}, author = {Williams, Darren W and Kondo, Shu and Krzyzanowska, Agnieszka and Hiromi, Yasushi and Truman, James W} } @article {46306, title = {Learning in realistic networks of spiking neurons and spike-driven plastic synapses.}, journal = {European Journal of Neuroscience}, volume = {21}, year = {2005}, month = {2005 Jun}, pages = {3143-60}, abstract = {

We have used simulations to study the learning dynamics of an autonomous, biologically realistic recurrent network of spiking neurons connected via plastic synapses, subjected to a stream of stimulus-delay trials, in which one of a set of stimuli is presented followed by a delay. Long-term plasticity, produced by the neural activity experienced during training, structures the network and endows it with active (working) memory, i.e. enhanced, selective delay activity for every stimulus in the training set. Short-term plasticity produces transient synaptic depression. Each stimulus used in training excites a selective subset of neurons in the network, and stimuli can share neurons (overlapping stimuli). Long-term plasticity dynamics are driven by presynaptic spikes and coincident postsynaptic depolarization; stability is ensured by a refresh mechanism. In the absence of stimulation, the acquired synaptic structure persists for a very long time. The dependence of long-term plasticity dynamics on the characteristics of the stimulus response (average emission rates, time course and synchronization), and on the single-cell emission statistics (coefficient of variation) is studied. The study clarifies the specific roles of short-term synaptic depression, NMDA receptors, stimulus representation overlaps, selective stimulation of inhibition, and spike asynchrony during stimulation. Patterns of network spiking activity before, during and after training reproduce most of the in vivo physiological observations in the literature.

}, keywords = {Action Potentials, Animals, Central Nervous System, Electric Stimulation, Humans, Memory, Short-Term, Nerve Net, Neural Inhibition, Neural Networks (Computer), Neural Pathways, Neuronal Plasticity, Neurons, Receptors, N-Methyl-D-Aspartate, Synapses, Synaptic Transmission}, issn = {0953-816X}, doi = {10.1111/j.1460-9568.2005.04087.x}, author = {Mongillo, Gianluigi and Curti, Emanuele and Romani, Sandro and Amit, Daniel J} } @article {45957, title = {Lipid-protein interactions in double-layered two-dimensional AQP0 crystals.}, journal = {Nature}, volume = {438}, year = {2005}, month = {2005 Dec 1}, pages = {633-8}, abstract = {

Lens-specific aquaporin-0 (AQP0) functions as a specific water pore and forms the thin junctions between fibre cells. Here we describe a 1.9 A resolution structure of junctional AQP0, determined by electron crystallography of double-layered two-dimensional crystals. Comparison of junctional and non-junctional AQP0 structures shows that junction formation depends on a conformational switch in an extracellular loop, which may result from cleavage of the cytoplasmic amino and carboxy termini. In the centre of the water pathway, the closed pore in junctional AQP0 retains only three water molecules, which are too widely spaced to form hydrogen bonds with each other. Packing interactions between AQP0 tetramers in the crystalline array are mediated by lipid molecules, which assume preferred conformations. We were therefore able to build an atomic model for the lipid bilayer surrounding the AQP0 tetramers, and we describe lipid-protein interactions.

}, keywords = {Animals, Aquaporins, Crystallization, Crystallography, Hydrogen Bonding, Lens, Crystalline, Lipid Bilayers, Membrane Lipids, Models, Molecular, Protein Binding, Protein Structure, Quaternary, Sheep, Water}, issn = {1476-4687}, doi = {10.1038/nature04321}, author = {Gonen, Tamir and Cheng, Yifan and Sliz, Piotr and Hiroaki, Yoko and Fujiyoshi, Yoshinori and Harrison, Stephen C and Walz, Thomas} } @article {5491, title = {Lmo mutants reveal a novel role for circadian pacemaker neurons in cocaine-induced behaviors.}, journal = {PLoS Biology}, volume = {2}, year = {2004}, month = {2004 Dec}, pages = {e408}, abstract = {

Drosophila has been developed recently as a model system to investigate the molecular and neural mechanisms underlying responses to drugs of abuse. Genetic screens for mutants with altered drug-induced behaviors thus provide an unbiased approach to define novel molecules involved in the process. We identified mutations in the Drosophila LIM-only (LMO) gene, encoding a regulator of LIM-homeodomain proteins, in a genetic screen for mutants with altered cocaine sensitivity. Reduced Lmo function increases behavioral responses to cocaine, while Lmo overexpression causes the opposite effect, reduced cocaine responsiveness. Expression of Lmo in the principal Drosophila circadian pacemaker cells, the PDF-expressing ventral lateral neurons (LN(v)s), is sufficient to confer normal cocaine sensitivity. Consistent with a role for Lmo in LN(v)function,Lmomutants also show defects in circadian rhythms of behavior. However, the role for LN(v)s in modulating cocaine responses is separable from their role as pacemaker neurons: ablation or functional silencing of the LN(v)s reduces cocaine sensitivity, while loss of the principal circadian neurotransmitter PDF has no effect. Together, these results reveal a novel role for Lmo in modulating acute cocaine sensitivity and circadian locomotor rhythmicity, and add to growing evidence that these behaviors are regulated by shared molecular mechanisms. The finding that the degree of cocaine responsiveness is controlled by the Drosophila pacemaker neurons provides a neuroanatomical basis for this overlap. We propose that Lmo controls the responsiveness of LN(v)s to cocaine, which in turn regulate the flies{\textquoteright} behavioral sensitivity to the drug.

}, keywords = {Alleles, Animal, Animals, Behavior, Biological, Biological Clocks, Circadian Rhythm, Cocaine, Drosophila melanogaster, Drosophila Proteins, Gene Expression Regulation, Gene Silencing, Genetic, Homeodomain Proteins, Models, Mutation, Neurons, Neuropeptides, Neurotransmitter Agents, Protein Structure, Reverse Transcriptase Polymerase Chain Reaction, Tertiary}, issn = {1545-7885}, doi = {10.1371/journal.pbio.0020408}, author = {Tsai, Linus T-Y and Bainton, Roland J and Blau, Justin and Heberlein, Ulrike} } @article {2135, title = {LTP is accompanied by an enhanced local excitability of pyramidal neuron dendrites.}, journal = {Nature Neuroscience}, volume = {7}, year = {2004}, month = {2004 Feb}, pages = {126-35}, abstract = {

The propagation and integration of signals in the dendrites of pyramidal neurons is regulated, in part, by the distribution and biophysical properties of voltage-gated ion channels. It is thus possible that any modification of these channels in a specific part of the dendritic tree might locally alter these signaling processes. Using dendritic and somatic whole-cell recordings, combined with calcium imaging in rat hippocampal slices, we found that the induction of long-term potentiation (LTP) was accompanied by a local increase in dendritic excitability that was dependent on the activation of NMDA receptors. These changes favored the back-propagation of action potentials into this dendritic region with a subsequent boost in the Ca(2+) influx. Dendritic cell-attached patch recordings revealed a hyperpolarized shift in the inactivation curve of transient, A-type K(+) currents that can account for the enhanced excitability. These results suggest an important mechanism associated with LTP for shaping signal processing and controlling dendritic function.

}, keywords = {Action Potentials, Animals, Calcium, Dendrites, Excitatory Postsynaptic Potentials, Hippocampus, Ion Channels, Long-Term Potentiation, Memory, N-Methyl-D-Aspartate, Neuronal Plasticity, Organ Culture Techniques, Patch-Clamp Techniques, Rats, Receptors}, issn = {1097-6256}, doi = {10.1002/cbic.201000254}, author = {Frick, Andreas and Magee, Jeffrey and Johnston, Daniel} } @article {2320, title = {L-type Ca2+ channel blockers promote Ca2+ accumulation when dopamine receptors are activated in striatal neurons.}, journal = {Brain Research. Molecular Brain Research}, volume = {131}, year = {2004}, month = {2004 Nov 24}, pages = {65-72}, abstract = {

Dopamine (DA) receptor-mediated signal transduction and gene expression play a central role in many brain disorders from schizophrenia to Parkinson{\textquoteright}s disease to addiction. While trying to evaluate the role of L-type Ca2+ channels in dopamine D1 receptor-mediated phosphorylation of the transcription factor cyclic AMP response element-binding protein (CREB), we found that activation of dopamine D1 receptors alters the properties of L-type Ca2+ channel inhibitors and turns them into facilitators of Ca2+ influx. In D1 receptor-stimulated neurons, L-type Ca2+ channel blockers promote cytosolic Ca2+ accumulation. This leads to the activation of a molecular signal transduction pathway and CREB phosphorylation. In the absence of dopamine receptor stimulation, L-type Ca2+ channel blockers inhibit CREB phosphorylation. The effect of dopamine on L-type Ca2+ channel blockers is dependent on protein kinase A (PKA), suggesting that protein phosphorylation plays a role in this phenomenon. Because of the adverse effect of activated dopamine receptors on L-type Ca2+ channel blocker action, the role of L-type Ca2+ channels in the dopamine D1 receptor signal transduction pathway cannot be assessed with pharmacological tools. However, with antisense technology, we demonstrate that L-type Ca2+ channels contribute to D1 receptor-mediated CREB phosphorylation. We conclude that the D1 receptor signal transduction pathway depends on L-type Ca2+ channels to mediate CREB phosphorylation.

}, keywords = {2, 3, 4, 5-Tetrahydro-7, 8-dihydroxy-1-phenyl-1H-3-benzazepine, Animals, Antisense, Calcium, Calcium Channel Blockers, Calcium Channels, Cells, Corpus Striatum, Cultured, Cyclic AMP Response Element-Binding Protein, Dizocilpine Maleate, Dopamine Antagonists, Dopamine D1, Drug Interactions, Excitatory Amino Acid Antagonists, Female, L-Type, N-Methyl-D-Aspartate, Neurons, Nifedipine, Oligonucleotides, Phosphorylation, Pregnancy, Rats, Receptors, Sprague-Dawley}, issn = {0169-328X}, doi = {10.3389/fnana.2010.00147}, author = {Eaton, Molly E and Mac{\'\i}as, Wendy and Youngs, Rachael M and Rajadhyaksha, Anjali and Dudman, Joshua T and Konradi, Christine} } @article {46417, title = {Life on carbon monoxide: X-ray structure of Rhodospirillum rubrum Ni-Fe-S carbon monoxide dehydrogenase. }, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {98}, year = {2001}, month = {2001-10-09}, pages = {11973-8}, abstract = {

A crystal structure of the anaerobic Ni-Fe-S carbon monoxide dehydrogenase (CODH) from Rhodospirillum rubrum has been determined to 2.8-{\r A} resolution. The CODH family, for which the R. rubrum enzyme is the prototype, catalyzes the biological oxidation of CO at an unusual Ni-Fe-S cluster called the C-cluster. The Ni-Fe-S C-cluster contains a mononuclear site and a four-metal cubane. Surprisingly, anomalous dispersion data suggest that the mononuclear site contains Fe and not Ni, and the four-metal cubane has the form [NiFe3S4] and not [Fe4S4]. The mononuclear site and the four-metal cluster are bridged by means of Cys531 and one of the sulfides of the cube. CODH is organized as a dimer with a previously unidentified [Fe4S4] cluster bridging the two subunits. Each monomer is comprised of three domains: a helical domain at the N terminus, an α/β (Rossmann-like) domain in the middle, and an α/β (Rossmann-like) domain at the C terminus. The helical domain contributes ligands to the bridging [Fe4S4] cluster and another [Fe4S4] cluster, the B-cluster, which is involved in electron transfer. The two Rossmann domains contribute ligands to the active site C-cluster. This x-ray structure provides insight into the mechanism of biological CO oxidation and has broader significance for the roles of Ni and Fe in biological systems.

}, issn = {1091-6490}, doi = {10.1073/pnas.211429998}, author = {Drennan, Catherine L and Heo, Jongyun and Sintchak, Michael D and Schreiter, Eric R and Ludden, Paul W.} } @article {45817, title = {The life cycle and natural history of the tropical aphid Cerataphis fransseni (Homoptera: Aphididae: Hormaphidinae), with reference to the evolution of host alternation in aphids}, journal = {Journal of natural history}, volume = {29}, year = {1995}, pages = {231-242}, abstract = {

We describe the life cycle and general biology of the tropical cerataphidine aphid Cerataphis fransseni. We demonstrate that this aphid migrates between trees of Styrax benzoin and various species of palms; palm-feeding populations have previously been known as C. variabilis and C. palmae, which now become synonyms of C. fransseni. On S. benzoin the fundatrix induces a relatively simple gall which can contain \>6000 aphids at maturity with a large number of reproductively sterile soldiers that protect the gall from predators. These galls are apparently produced throughout the year. Colonies on the secondary host plants, palms, are apparently obligately tended by ants whereas colonies within galls on Styrax are never tended by ants. We discuss the life cycle of this tropical aphid with respect to hypotheses for the evolution and maintenance of host alternation.

}, doi = {10.1080/00222939500770101}, url = {http://www.tandfonline.com/doi/abs/10.1080/00222939500770101$\#$.VKrUcHt79iZ}, author = {DL Stern and S Aoki and D U Kurosu} } @article {974, title = {Localization of the sevenless protein, a putative receptor for positional information, in the eye imaginal disc of Drosophila.}, journal = {Cell}, volume = {51}, year = {1987}, month = {1987 Oct 9}, pages = {143-50}, abstract = {

The Drosophila gene sevenless encodes a putative trans-membrane receptor required for the formation of one particular cell, the R7 photoreceptor, in each ommatidium of the compound eye. Mutations in this gene result in the cell normally destined to form the R7 cell forming a non-neuronal cell type instead. These observations have led to the proposal that the sevenless protein receives at least part of the positional information required for the R7 developmental pathway. We have generated antibodies specific for sevenless and have examined expression of the protein by light and electron microscopy. sevenless protein is present transiently at high levels in at least 9 cells in each developing ommatidium and is detectable several hours before any overt differentiation of R7. The protein is mostly localized at the apices of the cells, in microvilli, but is also found deeper in the tissue where certain cells contact the R8 cell. This finding suggests that R8 expresses a ligand for the sevenless protein.

}, keywords = {Animals, Drosophila melanogaster, Electron, Epithelium, Eye, Eye Proteins, Histocytochemistry, Immunologic Techniques, Insect Hormones, Microscopy, Microvilli, Peptide Fragments, Photoreceptor Cells}, issn = {0092-8674}, doi = {10.1186/gb-2007-8-7-r145}, author = {Tomlinson, A and Bowtell, D D and Hafen, E and Rubin, G M} }