Filter
Associated Lab
- Aguilera Castrejon Lab (5) Apply Aguilera Castrejon Lab filter
- Ahrens Lab (4) Apply Ahrens Lab filter
- Aso Lab (1) Apply Aso Lab filter
- Betzig Lab (3) Apply Betzig Lab filter
- Beyene Lab (1) Apply Beyene Lab filter
- Card Lab (3) Apply Card Lab filter
- Clapham Lab (1) Apply Clapham Lab filter
- Darshan Lab (2) Apply Darshan Lab filter
- Dickson Lab (2) Apply Dickson Lab filter
- Dudman Lab (3) Apply Dudman Lab filter
- Espinosa Medina Lab (7) Apply Espinosa Medina Lab filter
- Feliciano Lab (1) Apply Feliciano Lab filter
- Fitzgerald Lab (3) Apply Fitzgerald Lab filter
- Funke Lab (5) Apply Funke Lab filter
- Harris Lab (1) Apply Harris Lab filter
- Hermundstad Lab (6) Apply Hermundstad Lab filter
- Hess Lab (7) Apply Hess Lab filter
- Jayaraman Lab (3) Apply Jayaraman Lab filter
- Keleman Lab (1) Apply Keleman Lab filter
- Keller Lab (1) Apply Keller Lab filter
- Lavis Lab (13) Apply Lavis Lab filter
- Lee (Albert) Lab (1) Apply Lee (Albert) Lab filter
- Leonardo Lab (1) Apply Leonardo Lab filter
- Li Lab (5) Apply Li Lab filter
- Lippincott-Schwartz Lab (7) Apply Lippincott-Schwartz Lab filter
- Liu (Yin) Lab (5) Apply Liu (Yin) Lab filter
- Liu (Zhe) Lab (5) Apply Liu (Zhe) Lab filter
- Looger Lab (7) Apply Looger Lab filter
- O'Shea Lab (1) Apply O'Shea Lab filter
- Otopalik Lab (1) Apply Otopalik Lab filter
- Pachitariu Lab (4) Apply Pachitariu Lab filter
- Pedram Lab (1) Apply Pedram Lab filter
- Podgorski Lab (1) Apply Podgorski Lab filter
- Reiser Lab (3) Apply Reiser Lab filter
- Romani Lab (3) Apply Romani Lab filter
- Rubin Lab (1) Apply Rubin Lab filter
- Saalfeld Lab (6) Apply Saalfeld Lab filter
- Satou Lab (1) Apply Satou Lab filter
- Scheffer Lab (1) Apply Scheffer Lab filter
- Sgro Lab (3) Apply Sgro Lab filter
- Singer Lab (1) Apply Singer Lab filter
- Spruston Lab (2) Apply Spruston Lab filter
- Stern Lab (8) Apply Stern Lab filter
- Sternson Lab (3) Apply Sternson Lab filter
- Stringer Lab (5) Apply Stringer Lab filter
- Svoboda Lab (6) Apply Svoboda Lab filter
- Tebo Lab (1) Apply Tebo Lab filter
- Tillberg Lab (3) Apply Tillberg Lab filter
- Turaga Lab (2) Apply Turaga Lab filter
- Turner Lab (2) Apply Turner Lab filter
- Vale Lab (2) Apply Vale Lab filter
- Wang (Shaohe) Lab (2) Apply Wang (Shaohe) Lab filter
Associated Project Team
- COSEM (1) Apply COSEM filter
- Fly Descending Interneuron (1) Apply Fly Descending Interneuron filter
- Fly Functional Connectome (2) Apply Fly Functional Connectome filter
- FlyLight (4) Apply FlyLight filter
- GENIE (1) Apply GENIE filter
- Tool Translation Team (T3) (2) Apply Tool Translation Team (T3) filter
Publication Date
- December 2022 (13) Apply December 2022 filter
- November 2022 (20) Apply November 2022 filter
- October 2022 (15) Apply October 2022 filter
- September 2022 (25) Apply September 2022 filter
- August 2022 (13) Apply August 2022 filter
- July 2022 (19) Apply July 2022 filter
- June 2022 (11) Apply June 2022 filter
- May 2022 (23) Apply May 2022 filter
- April 2022 (9) Apply April 2022 filter
- March 2022 (15) Apply March 2022 filter
- February 2022 (17) Apply February 2022 filter
- January 2022 (13) Apply January 2022 filter
- Remove 2022 filter 2022
Type of Publication
193 Publications
Showing 131-140 of 193 resultsWhile fluorescence microscopy has proven to be an exceedingly useful tool in bioscience, it is difficult to offer simultaneous high resolution, fast speed, large volume, and good biocompatibility in a single imaging technique. Thus, when determining the image data required to quantitatively test a complex biological hypothesis, it often becomes evident that multiple imaging techniques are necessary. Recent years have seen an explosion in development of novel fluorescence microscopy techniques, each of which features a unique suite of capabilities. In this Technical Perspective, we highlight recent studies to illustrate the benefits, and often the necessity, of combining multiple fluorescence microscopy modalities. We provide guidance in choosing optimal technique combinations to effectively address a biological question. Ultimately, we aim to promote a more well-rounded approach in designing fluorescence microscopy experiments, leading to more robust quantitative insight.
Insects have evolved sophisticated reflexes to right themselves in mid-air. Their recovery mechanisms involve complex interactions among the physical senses, muscles, body, and wings, and they must obey the laws of flight. We sought to understand the key mechanisms involved in dragonfly righting reflexes and to develop physics-based models for understanding the control strategies of flight maneuvers. Using kinematic analyses, physical modeling, and three-dimensional flight simulations, we found that a dragonfly uses left-right wing pitch asymmetry to roll its body 180 degrees to recover from falling upside down in ~200 milliseconds. Experiments of dragonflies with blocked vision further revealed that this rolling maneuver is initiated by their ocelli and compound eyes. These results suggest a pathway from the dragonfly's visual system to the muscles regulating wing pitch that underly the recovery. The methods developed here offer quantitative tools for inferring insects' internal actions from their acrobatics, and are applicable to a broad class of natural and robotic flying systems.
Transcription factors (TFs) are DNA binding proteins that control the expression of genes. The regulation of transcription is a complex process that involves binding of TFs to specific sequences, recruitment of cofactors and chromatin remodelers, assembly of the pre-initiation complex and ultimately the recruitment of RNA polymerase II. Increasing evidence suggests that TFs are highly dynamic and interact only transiently with DNA. Single molecule microscopy techniques are powerful approaches for visualizing and tracking individual TF molecules as they diffuse in the nucleus and interact with DNA. In this work, we employ multifocus microscopy and highly inclined and laminated optical sheet microscopy to track TF dynamics in response to perturbations in labile zinc inside cells. We sought to define whether zinc-dependent TFs sense changes in the labile zinc pool by determining whether their dynamics and DNA binding can be modulated by zinc. While it is widely appreciated that TFs need zinc to bind DNA, whether zinc occupancy and hence TF function are sensitive to changes in cellular zinc remain open questions. We utilized fluorescently tagged versions of the glucocorticoid receptor (GR), with two C4 zinc finger domains, and CCCTC-binding factor (CTCF), with eleven C2H2 zinc finger domains. We found that the biophysical dynamics of both TFs are susceptible to changes in zinc, but in subtly different ways. These results indicate that at least some transcription factors are sensitive to zinc dynamics, revealing a potential new layer of transcriptional regulation.
Arrays of actin filaments (F-actin) near the apical surface of epithelial cells (medioapical arrays) contribute to apical constriction and morphogenesis throughout phylogeny. Here, super-resolution approaches (grazing incidence structured illumination, GI-SIM and lattice light sheet, LLSM) microscopy resolve individual, fluorescently labeled F-actin and bipolar myosin filaments that drive amnioserosa cell shape changes during dorsal closure in . In expanded cells, F-actin and myosin form loose, apically domed meshworks at the plasma membrane. The arrays condense as cells contract, drawing the domes into the plane of the junctional belts. As condensation continues, individual filaments are no longer uniformly apparent. As cells expand, arrays of actomyosin are again resolved - some F-actin turnover likely occurs, but a large fraction of existing filaments rearrange. In morphologically isotropic cells, actin filaments are randomly oriented and during contraction, are drawn together but remain essentially randomly oriented. In anisotropic cells, largely parallel actin filaments are drawn closer to one another. Our images offer unparalleled resolution of F-actin in embryonic tissue show that medioapical arrays are tightly apposed to the plasma membrane, are continuous with meshworks of lamellar F-actin and thereby constitute modified cell cortex. In concert with other tagged array components, super-resolution imaging of live specimens will offer new understanding of cortical architecture and function. [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text].
Pitt-Hopkins syndrome (PTHS) is a neurodevelopmental disorder caused by monoallelic mutation or deletion in the () gene. Individuals with PTHS typically present in the first year of life with developmental delay and exhibit intellectual disability, lack of speech, and motor incoordination. There are no effective treatments available for PTHS, but the root cause of the disorder, haploinsufficiency, suggests that it could be treated by normalizing gene expression. Here, we performed proof-of-concept viral gene therapy experiments using a conditional mouse model of PTHS and found that postnatally reinstating expression in neurons improved anxiety-like behavior, activity levels, innate behaviors, and memory. Postnatal reinstatement also partially corrected EEG abnormalities, which we characterized here for the first time, and the expression of key TCF4-regulated genes. Our results support a genetic normalization approach as a treatment strategy for PTHS, and possibly other TCF4-linked disorders.
Homology of highly divergent genes often cannot be determined from sequence similarity alone. For example, we recently identified in the aphid Hormaphis cornu a family of rapidly evolving bicycle genes, which encode novel proteins implicated as plant gall effectors, and sequence similarity search methods yielded few putative bicycle homologs in other species. Coding sequence-independent features of genes, such as intron-exon boundaries, often evolve more slowly than coding sequences, however, and can provide complementary evidence for homology. We found that a linear logistic regression classifier using only structural features of bicycle genes identified many putative bicycle homologs in other species. Independent evidence from sequence features and intron locations supported homology assignments. To test the potential roles of bicycle genes in other aphids, we sequenced the genome of a second gall-forming aphid, Tetraneura nigriabdominalis, and found that many bicycle genes are strongly expressed in the salivary glands of the gall forming foundress. In addition, bicycle genes are strongly overexpressed in the salivary glands of a non-gall forming aphid, Acyrthosiphon pisum, and in the non-gall forming generations of Hormaphis cornu. These observations suggest that Bicycle proteins may be used by multiple aphid species to manipulate plants in diverse ways. Incorporation of gene structural features into sequence search algorithms may aid identification of deeply divergent homologs, especially of rapidly evolving genes involved in host-parasite interactions.
While the field of synthetic developmental biology has traditionally focused on the study of the rich developmental processes seen in metazoan systems, an attractive alternate source of inspiration comes from microbial developmental models. Microbes face unique lifestyle challenges when forming emergent multicellular collectives. As a result, the solutions they employ can inspire the design of novel multicellular systems. In this review, we dissect the strategies employed in multicellular development by two model microbial systems: the cellular slime mold Dictyostelium discoideum and the biofilm-forming bacterium Bacillus subtilis. Both microbes face similar challenges but often have different solutions, both from metazoan systems and from each other, to create emergent multicellularity. These challenges include assembling and sustaining a critical mass of participating individuals to support development, regulating entry into development, and assigning cell fates. The mechanisms these microbial systems exploit to robustly coordinate development under a wide range of conditions offer inspiration for a new toolbox of solutions to the synthetic development community. Additionally, recreating these phenomena synthetically offers a pathway to understanding the key principles underlying how these behaviors are be coordinated naturally.
Chromatin remodelers actively target arrays of acetylated nucleosomes at select enhancers and promoters to facilitate or shut down the repeated recruitment of RNA Pol II during transcriptional bursting. It is poorly understood how chromatin remodelers such as PBAF dynamically target different chromatin states inside a live cell. Our live-cell single molecule fluorescence microscopy study reveals chromatin hubs throughout the nucleus where PBAF rapidly cycles on and off the genome. Deletion of PBAF's bromodomains impairs targeting and stable engagement of chromatin in hubs. Dual color imaging reveals that PBAF targets both euchromatic and heterochromatic hubs with distinct genome binding kinetic profiles that mimic chromatin stability. Removal of PBAF's bromodomains stabilizes H3.3 binding within chromatin indicating that bromodomains may play a direct role in remodeling of the nucleosome. Our data suggests that PBAF's dynamic bromodomain mediated engagement of a nucleosome may reflect the chromatin remodeling potential of differentially bound chromatin states.
mTORC1 controls cellular metabolic processes in response to nutrient availability. Amino acid signals are transmitted to mTORC1 through the Rag GTPases, which are localized on the lysosomal surface by the Ragulator complex. The Rag GTPases receive amino acid signals from multiple upstream regulators. One negative regulator, GATOR1, is a GTPase activating protein (GAP) for RagA. GATOR1 binds to the Rag GTPases via two modes: an inhibitory mode and a GAP mode. How these two binding interactions coordinate to process amino acid signals is unknown. Here, we resolved three cryo-EM structural models of the GATOR1-Rag-Ragulator complex, with the Rag-Ragulator subcomplex occupying the inhibitory site, the GAP site, and both binding sites simultaneously. When the Rag GTPases bind to GATOR1 at the GAP site, both Rag subunits contact GATOR1 to coordinate their nucleotide loading states. These results reveal a potential GAP mechanism of GATOR1 during the mTORC1 inactivation process.
Viruses use a plethora of mechanisms to evade immune responses. A recent example is neutralization of the nuclear DNA cytosine deaminase APOBEC3B by the Epstein-Barr virus (EBV) ribonucleotide reductase subunit BORF2. Cryo-EM studies of APOBEC3B-BORF2 complexes reveal a large >1000-Å binding surface composed of multiple structural elements from each protein, which effectively blocks the APOBEC3B active site from accessing single-stranded DNA substrates. Evolutionary optimization is suggested by unique insertions in BORF2 absent from other ribonucleotide reductases and preferential binding to APOBEC3B relative to the highly related APOBEC3A and APOBEC3G enzymes. A molecular understanding of this pathogen-host interaction has potential to inform the development of drugs that block the interaction and liberate the natural antiviral activity of APOBEC3B. In addition, given a role for APOBEC3B in cancer mutagenesis, it may also be possible for information from the interaction to be used to develop DNA deaminase inhibitors.