Filter
Associated Lab
- Ahrens Lab (3) Apply Ahrens Lab filter
- Aso Lab (3) Apply Aso Lab filter
- Baker Lab (5) Apply Baker Lab filter
- Betzig Lab (8) Apply Betzig Lab filter
- Branson Lab (6) Apply Branson Lab filter
- Card Lab (1) Apply Card Lab filter
- Cardona Lab (1) Apply Cardona Lab filter
- Chklovskii Lab (2) Apply Chklovskii Lab filter
- Cui Lab (2) Apply Cui Lab filter
- Darshan Lab (1) Apply Darshan Lab filter
- Dickson Lab (6) Apply Dickson Lab filter
- Druckmann Lab (1) Apply Druckmann Lab filter
- Dudman Lab (4) Apply Dudman Lab filter
- Eddy/Rivas Lab (3) Apply Eddy/Rivas Lab filter
- Egnor Lab (1) Apply Egnor Lab filter
- Fetter Lab (1) Apply Fetter Lab filter
- Fitzgerald Lab (1) Apply Fitzgerald Lab filter
- Freeman Lab (3) Apply Freeman Lab filter
- Gonen Lab (10) Apply Gonen Lab filter
- Grigorieff Lab (3) Apply Grigorieff Lab filter
- Harris Lab (2) Apply Harris Lab filter
- Heberlein Lab (2) Apply Heberlein Lab filter
- Hermundstad Lab (2) Apply Hermundstad Lab filter
- Hess Lab (5) Apply Hess Lab filter
- Jayaraman Lab (1) Apply Jayaraman Lab filter
- Ji Lab (3) Apply Ji Lab filter
- Johnson Lab (1) Apply Johnson Lab filter
- Kainmueller Lab (2) Apply Kainmueller Lab filter
- Karpova Lab (1) Apply Karpova Lab filter
- Keller Lab (8) Apply Keller Lab filter
- Lavis Lab (7) Apply Lavis Lab filter
- Lee (Albert) Lab (4) Apply Lee (Albert) Lab filter
- Leonardo Lab (4) Apply Leonardo Lab filter
- Li Lab (1) Apply Li Lab filter
- Lippincott-Schwartz Lab (12) Apply Lippincott-Schwartz Lab filter
- Liu (Zhe) Lab (4) Apply Liu (Zhe) Lab filter
- Looger Lab (11) Apply Looger Lab filter
- Magee Lab (1) Apply Magee Lab filter
- Menon Lab (3) Apply Menon Lab filter
- Murphy Lab (1) Apply Murphy Lab filter
- Pavlopoulos Lab (2) Apply Pavlopoulos Lab filter
- Reiser Lab (2) Apply Reiser Lab filter
- Riddiford Lab (4) Apply Riddiford Lab filter
- Romani Lab (2) Apply Romani Lab filter
- Rubin Lab (9) Apply Rubin Lab filter
- Saalfeld Lab (1) Apply Saalfeld Lab filter
- Scheffer Lab (7) Apply Scheffer Lab filter
- Sgro Lab (1) Apply Sgro Lab filter
- Simpson Lab (2) Apply Simpson Lab filter
- Singer Lab (10) Apply Singer Lab filter
- Spruston Lab (1) Apply Spruston Lab filter
- Stern Lab (6) Apply Stern Lab filter
- Sternson Lab (5) Apply Sternson Lab filter
- Stringer Lab (1) Apply Stringer Lab filter
- Svoboda Lab (7) Apply Svoboda Lab filter
- Tebo Lab (2) Apply Tebo Lab filter
- Tervo Lab (1) Apply Tervo Lab filter
- Tillberg Lab (1) Apply Tillberg Lab filter
- Tjian Lab (4) Apply Tjian Lab filter
- Truman Lab (1) Apply Truman Lab filter
- Turaga Lab (1) Apply Turaga Lab filter
- Turner Lab (1) Apply Turner Lab filter
- Wang (Shaohe) Lab (1) Apply Wang (Shaohe) Lab filter
- Wu Lab (2) Apply Wu Lab filter
- Zlatic Lab (1) Apply Zlatic Lab filter
- Zuker Lab (1) Apply Zuker Lab filter
Associated Project Team
Publication Date
- December 2014 (35) Apply December 2014 filter
- November 2014 (14) Apply November 2014 filter
- October 2014 (15) Apply October 2014 filter
- September 2014 (17) Apply September 2014 filter
- August 2014 (14) Apply August 2014 filter
- July 2014 (26) Apply July 2014 filter
- June 2014 (14) Apply June 2014 filter
- May 2014 (14) Apply May 2014 filter
- April 2014 (20) Apply April 2014 filter
- March 2014 (18) Apply March 2014 filter
- February 2014 (15) Apply February 2014 filter
- January 2014 (34) Apply January 2014 filter
- Remove 2014 filter 2014
Type of Publication
236 Publications
Showing 201-210 of 236 resultsThe placement of neuronal cell bodies relative to the neuropile differs among species and brain areas. Cell bodies can be either embedded as in mammalian cortex or segregated as in invertebrates and some other vertebrate brain areas. Why are there such different arrangements? Here we suggest that the observed arrangements may simply be a reflection of wiring economy, a general principle that tends to reduce the total volume of the neuropile and hence the volume of the inclusions in it. Specifically, we suggest that the choice of embedded versus segregated arrangement is determined by which neuronal component - the cell body or the neurite connecting the cell body to the arbor - has a smaller volume. Our quantitative predictions are in agreement with existing and new measurements.
View Publication PageThe quality of genetically encoded calcium indicators (GECIs) has improved dramatically in recent years, but high-performing ratiometric indicators are still rare. Here we describe a series of fluorescence resonance energy transfer (FRET)-based calcium biosensors with a reduced number of calcium binding sites per sensor. These ’Twitch’ sensors are based on the C-terminal domain of Opsanus troponin C. Their FRET responses were optimized by a large-scale functional screen in bacterial colonies, refined by a secondary screen in rat hippocampal neuron cultures. We tested the in vivo performance of the most sensitive variants in the brain and lymph nodes of mice. The sensitivity of the Twitch sensors matched that of synthetic calcium dyes and allowed visualization of tonic action potential firing in neurons and high resolution functional tracking of T lymphocytes. Given their ratiometric readout, their brightness, large dynamic range and linear response properties, Twitch sensors represent versatile tools for neuroscience and immunology.
Epidermal Growth Factor Receptor (EGFR) signaling has a conserved role in ethanol-induced behavior in flies and mice, affecting ethanol-induced sedation in both species. However it is not known what other effects EGFR signaling may have on ethanol-induced behavior, or what roles other Receptor Tyrosine Kinase (RTK) pathways may play in ethanol induced behaviors. We examined the effects of both the EGFR and Fibroblast Growth Factor Receptor (FGFR) RTK signaling pathways on ethanol-induced enhancement of locomotion, a behavior distinct from sedation that may be associated with the rewarding effects of ethanol. We find that both EGFR and FGFR genes influence ethanol-induced locomotion, though their effects are opposite - EGFR signaling suppresses this behavior, while FGFR signaling promotes it. EGFR signaling affects development of the Drosophila mushroom bodies in conjunction with the JNK MAP kinase basket (bsk), and with the Ste20 kinase tao, and we hypothesize that the EGFR pathway affects ethanol-induced locomotion through its effects on neuronal development. We find, however, that FGFR signaling most likely affects ethanol-induced behavior through a different mechanism, possibly through acute action in adult neurons.
Most theories used to explain the evolution of eusociality rest upon two key assumptions: mutations affecting the phenotype of sterile workers evolve by positive selection if the resulting traits benefit fertile kin, and that worker traits provide the primary mechanism allowing social insects to adapt to their environment. Despite the common view that positive selection drives phenotypic evolution of workers, we know very little about the prevalence of positive selection acting on the genomes of eusocial insects. We mapped the footprints of positive selection in Apis mellifera through analysis of 40 individual genomes, allowing us to identify thousands of genes and regulatory sequences with signatures of adaptive evolution over multiple timescales. We found Apoidea- and Apis-specific genes to be enriched for signatures of positive selection, indicating that novel genes play a disproportionately large role in adaptive evolution of eusocial insects. Worker-biased proteins have higher signatures of adaptive evolution relative to queen-biased proteins, supporting the view that worker traits are key to adaptation. We also found genes regulating worker division of labor to be enriched for signs of positive selection. Finally, genes associated with worker behavior based on analysis of brain gene expression were highly enriched for adaptive protein and cis-regulatory evolution. Our study highlights the significant contribution of worker phenotypes to adaptive evolution in social insects, and provides a wealth of knowledge on the loci that influence fitness in honey bees.
Transcription is an inherently stochastic, noisy, and multi-step process, in which fluctuations at every step can cause variations in RNA synthesis, and affect physiology and differentiation decisions in otherwise identical cells. However, it has been an experimental challenge to directly link the stochastic events at the promoter to transcript production. Here we established a fast fluorescence in situ hybridization (fastFISH) method that takes advantage of intrinsically unstructured nucleic acid sequences to achieve exceptionally fast rates of specific hybridization (\~{}10e7 M(-1)s(-1)), and allows deterministic detection of single nascent transcripts. Using a prototypical RNA polymerase, we demonstrated the use of fastFISH to measure the kinetic rates of promoter escape, elongation, and termination in one assay at the single-molecule level, at sub-second temporal resolution. The principles of fastFISH design can be used to study stochasticity in gene regulation, to select targets for gene silencing, and to design nucleic acid nanostructures. DOI: http://dx.doi.org/10.7554/eLife.01775.001.
In traditional zonal wavefront sensing for adaptive optics, after local wavefront gradients are obtained, the entire wavefront can be calculated by assuming that the wavefront is a continuous surface. Such an approach will lead to sub-optimal performance in reconstructing wavefronts which are either discontinuous or undersampled by the zonal wavefront sensor. Here, we report a new method to reconstruct the wavefront by directly measuring local wavefront phases in parallel using multidither coherent optical adaptive technique. This method determines the relative phases of each pupil segment independently, and thus produces an accurate wavefront for even discontinuous wavefronts. We implemented this method in an adaptive optical two-photon fluorescence microscopy and demonstrated its superior performance in correcting large or discontinuous aberrations.
We combine super-resolution localization fluorescence microscopy with transmission electron microscopy of metal replicas to locate proteins on the landscape of the cellular plasma membrane at the nanoscale. We validate robust correlation on the scale of 20 nm by imaging endogenous clathrin (in two and three dimensions) and apply the method to find the previously unknown three-dimensional position of the endocytic protein epsin on clathrin-coated structures at the plasma membrane.
The physical manifestation of learning and memory formation in the brain can be expressed by strengthening or weakening of synaptic connections through morphological changes. Local actin remodeling underlies some forms of plasticity and may be facilitated by local β-actin synthesis, but dynamic information is lacking. In this work, we use single-molecule in situ hybridization to demonstrate that dendritic β-actin messenger RNA (mRNA) and ribosomes are in a masked, neuron-specific form. Chemically induced long-term potentiation prompts transient mRNA unmasking, which depends on factors active during synaptic activity. Ribosomes and single β-actin mRNA motility increase after stimulation, indicative of release from complexes. Hence, the single-molecule assays we developed allow for the quantification of activity-induced unmasking and availability for active translation. Further, our work demonstrates that β-actin mRNA and ribosomes are in a masked state that is alleviated by stimulation.
The transcription and transport of messenger RNA (mRNA) are critical steps in regulating the spatial and temporal components of gene expression, but it has not been possible to observe the dynamics of endogenous mRNA in primary mammalian tissues. We have developed a transgenic mouse in which all β-actin mRNA is fluorescently labeled. We found that β-actin mRNA in primary fibroblasts localizes predominantly by diffusion and trapping as single mRNAs. In cultured neurons and acute brain slices, we found that multiple β-actin mRNAs can assemble together, travel by active transport, and disassemble upon depolarization by potassium chloride. Imaging of brain slices revealed immediate early induction of β-actin transcription after depolarization. Studying endogenous mRNA in live mouse tissues provides insight into its dynamic regulation within the context of the cellular and tissue microenvironment.
Rod photoreceptors contribute to vision over an ∼ 6-log-unit range of light intensities. The wide dynamic range of rod vision is thought to depend upon light intensity-dependent switching between two parallel pathways linking rods to ganglion cells: a rod → rod bipolar (RB) cell pathway that operates at dim backgrounds and a rod → cone → cone bipolar cell pathway that operates at brighter backgrounds. We evaluated this conventional model of rod vision by recording rod-mediated light responses from ganglion and AII amacrine cells and by recording RB-mediated synaptic currents from AII amacrine cells in mouse retina. Contrary to the conventional model, we found that the RB pathway functioned at backgrounds sufficient to activate the rod → cone pathway. As background light intensity increased, the RB's role changed from encoding the absorption of single photons to encoding contrast modulations around mean luminance. This transition is explained by the intrinsic dynamics of transmission from RB synapses.