Filter
Result Type
- Apply filter
- Apply filter
- Apply filter
- Apply filter
- Apply filter
- Apply filter
- Apply filter
- Apply filter
- Apply filter
- Area Landing Page (10) Apply Area Landing Page filter
- Collaborations (2) Apply Collaborations filter
- Conferences (242) Apply Conferences filter
- Janelia Archives (19) Apply Janelia Archives filter
- Janelia Archives Landing (1) Apply Janelia Archives Landing filter
- Lab (59) Apply Lab filter
- News Stories (277) Apply News Stories filter
- Other (547) Apply Other filter
- People (674) Apply People filter
- Project Team (16) Apply Project Team filter
- Publications (2710) Apply Publications filter
- Support Team (21) Apply Support Team filter
- Theory Fellow Landing Page (4) Apply Theory Fellow Landing Page filter
- Tool (132) Apply Tool filter
Associated Lab
- Aguilera Castrejon Lab (7) Apply Aguilera Castrejon Lab filter
- Ahrens Lab (74) Apply Ahrens Lab filter
- Aso Lab (49) Apply Aso Lab filter
- Baker Lab (20) Apply Baker Lab filter
- Betzig Lab (111) Apply Betzig Lab filter
- Beyene Lab (17) Apply Beyene Lab filter
- Bock Lab (15) Apply Bock Lab filter
- Branson Lab (62) Apply Branson Lab filter
- Card Lab (38) Apply Card Lab filter
- Cardona Lab (45) Apply Cardona Lab filter
- Chklovskii Lab (10) Apply Chklovskii Lab filter
- Clapham Lab (23) Apply Clapham Lab filter
- Cui Lab (20) Apply Cui Lab filter
- Darshan Lab (8) Apply Darshan Lab filter
- Dennis Lab (7) Apply Dennis Lab filter
- Dickson Lab (34) Apply Dickson Lab filter
- Druckmann Lab (21) Apply Druckmann Lab filter
- Dudman Lab (49) Apply Dudman Lab filter
- Eddy/Rivas Lab (30) Apply Eddy/Rivas Lab filter
- Egnor Lab (5) Apply Egnor Lab filter
- Espinosa Medina Lab (27) Apply Espinosa Medina Lab filter
- Feliciano Lab (15) Apply Feliciano Lab filter
- Fetter Lab (31) Apply Fetter Lab filter
- FIB-SEM Technology (1) Apply FIB-SEM Technology filter
- Fitzgerald Lab (16) Apply Fitzgerald Lab filter
- Freeman Lab (16) Apply Freeman Lab filter
- Funke Lab (48) Apply Funke Lab filter
- Gonen Lab (60) Apply Gonen Lab filter
- Grigorieff Lab (34) Apply Grigorieff Lab filter
- Harris Lab (65) Apply Harris Lab filter
- Heberlein Lab (15) Apply Heberlein Lab filter
- Hermundstad Lab (31) Apply Hermundstad Lab filter
- Hess Lab (84) Apply Hess Lab filter
- Ilanges Lab (9) Apply Ilanges Lab filter
- Jayaraman Lab (57) Apply Jayaraman Lab filter
- Ji Lab (34) Apply Ji Lab filter
- Johnson Lab (8) Apply Johnson Lab filter
- Kainmueller Lab (1) Apply Kainmueller Lab filter
- Karpova Lab (24) Apply Karpova Lab filter
- Keleman Lab (8) Apply Keleman Lab filter
- Keller Lab (80) Apply Keller Lab filter
- Koay Lab (8) Apply Koay Lab filter
- Lavis Lab (160) Apply Lavis Lab filter
- Lee (Albert) Lab (32) Apply Lee (Albert) Lab filter
- Leonardo Lab (19) Apply Leonardo Lab filter
- Li Lab (11) Apply Li Lab filter
- Lippincott-Schwartz Lab (111) Apply Lippincott-Schwartz Lab filter
- Liu (Yin) Lab (7) Apply Liu (Yin) Lab filter
- Liu (Zhe) Lab (67) Apply Liu (Zhe) Lab filter
- Looger Lab (144) Apply Looger Lab filter
- Magee Lab (31) Apply Magee Lab filter
- Menon Lab (12) Apply Menon Lab filter
- Murphy Lab (7) Apply Murphy Lab filter
- O'Shea Lab (13) Apply O'Shea Lab filter
- Otopalik Lab (8) Apply Otopalik Lab filter
- Pachitariu Lab (44) Apply Pachitariu Lab filter
- Pastalkova Lab (6) Apply Pastalkova Lab filter
- Pavlopoulos Lab (7) Apply Pavlopoulos Lab filter
- Pedram Lab (11) Apply Pedram Lab filter
- Podgorski Lab (19) Apply Podgorski Lab filter
- Reiser Lab (63) Apply Reiser Lab filter
- Riddiford Lab (21) Apply Riddiford Lab filter
- Romani Lab (46) Apply Romani Lab filter
- Rubin Lab (122) Apply Rubin Lab filter
- Ryan Lab (1) Apply Ryan Lab filter
- Saalfeld Lab (55) Apply Saalfeld Lab filter
- Satou Lab (7) Apply Satou Lab filter
- Scheffer Lab (39) Apply Scheffer Lab filter
- Schreiter Lab (65) Apply Schreiter Lab filter
- Sgro Lab (14) Apply Sgro Lab filter
- Shroff Lab (45) Apply Shroff Lab filter
- Simpson Lab (18) Apply Simpson Lab filter
- Singer Lab (39) Apply Singer Lab filter
- Spruston Lab (73) Apply Spruston Lab filter
- Stern Lab (84) Apply Stern Lab filter
- Sternson Lab (52) Apply Sternson Lab filter
- Stringer Lab (40) Apply Stringer Lab filter
- Svoboda Lab (145) Apply Svoboda Lab filter
- Tebo Lab (22) Apply Tebo Lab filter
- Tervo Lab (14) Apply Tervo Lab filter
- Tillberg Lab (22) Apply Tillberg Lab filter
- Tjian Lab (19) Apply Tjian Lab filter
- Truman Lab (59) Apply Truman Lab filter
- Turaga Lab (59) Apply Turaga Lab filter
- Turner Lab (35) Apply Turner Lab filter
- Vale Lab (11) Apply Vale Lab filter
- Voigts Lab (9) Apply Voigts Lab filter
- Wang (Meng) Lab (39) Apply Wang (Meng) Lab filter
- Wang (Shaohe) Lab (14) Apply Wang (Shaohe) Lab filter
- Wong-Campos Lab (4) Apply Wong-Campos Lab filter
- Wu Lab (9) Apply Wu Lab filter
- Zlatic Lab (26) Apply Zlatic Lab filter
- Zuker Lab (5) Apply Zuker Lab filter
Associated Project Team
- CellMap (31) Apply CellMap filter
- COSEM (3) Apply COSEM filter
- FIB-SEM Technology (9) Apply FIB-SEM Technology filter
- Fly Descending Interneuron (13) Apply Fly Descending Interneuron filter
- Fly Functional Connectome (15) Apply Fly Functional Connectome filter
- Fly Olympiad (5) Apply Fly Olympiad filter
- FlyEM (65) Apply FlyEM filter
- FlyLight (58) Apply FlyLight filter
- FuncEWOrm (9) Apply FuncEWOrm filter
- GENIE (67) Apply GENIE filter
- Integrative Imaging (4) Apply Integrative Imaging filter
- Larval Olympiad (2) Apply Larval Olympiad filter
- MouseLight (26) Apply MouseLight filter
- NeuroSeq (2) Apply NeuroSeq filter
- ThalamoSeq (1) Apply ThalamoSeq filter
- Tool Translation Team (T3) (36) Apply Tool Translation Team (T3) filter
- Transcription Imaging (48) Apply Transcription Imaging filter
Associated Support Team
- Project Pipeline Support (42) Apply Project Pipeline Support filter
- Anatomy and Histology (25) Apply Anatomy and Histology filter
- Cryo-Electron Microscopy (49) Apply Cryo-Electron Microscopy filter
- Electron Microscopy (23) Apply Electron Microscopy filter
- Flow Cytometry (4) Apply Flow Cytometry filter
- Gene Targeting and Transgenics (19) Apply Gene Targeting and Transgenics filter
- Immortalized Cell Line Culture (6) Apply Immortalized Cell Line Culture filter
- Integrative Imaging (33) Apply Integrative Imaging filter
- Invertebrate Shared Resource (50) Apply Invertebrate Shared Resource filter
- Janelia Experimental Technology (103) Apply Janelia Experimental Technology filter
- Management Team (1) Apply Management Team filter
- Mass Spectrometry (4) Apply Mass Spectrometry filter
- Media Facil\ (7) Apply Media Facil\ filter
- Molecular Genomics (21) Apply Molecular Genomics filter
- Primary & iPS Cell Culture (24) Apply Primary & iPS Cell Culture filter
- Project Technical Resources (65) Apply Project Technical Resources filter
- Quantitative Genomics (26) Apply Quantitative Genomics filter
- Scientific Computing Software (131) Apply Scientific Computing Software filter
- Scientific Computing Systems (14) Apply Scientific Computing Systems filter
- Viral Tools (22) Apply Viral Tools filter
- Vivarium (10) Apply Vivarium filter
Publication Date
- 2025 (166) Apply 2025 filter
- 2024 (245) Apply 2024 filter
- 2023 (188) Apply 2023 filter
- 2022 (193) Apply 2022 filter
- 2021 (187) Apply 2021 filter
- 2020 (194) Apply 2020 filter
- 2019 (201) Apply 2019 filter
- 2018 (221) Apply 2018 filter
- 2017 (202) Apply 2017 filter
- 2016 (207) Apply 2016 filter
- 2015 (222) Apply 2015 filter
- 2014 (216) Apply 2014 filter
- 2013 (152) Apply 2013 filter
- 2012 (112) Apply 2012 filter
- 2011 (98) Apply 2011 filter
- 2010 (61) Apply 2010 filter
- 2009 (56) Apply 2009 filter
- 2008 (40) Apply 2008 filter
- 2007 (21) Apply 2007 filter
- 2006 (3) Apply 2006 filter
Tool Types
- Data (9) Apply Data filter
- Data Application (7) Apply Data Application filter
- Figshare (1) Apply Figshare filter
- Human Health (2) Apply Human Health filter
- Imaging Instrumentation (11) Apply Imaging Instrumentation filter
- Laboratory Hardware (3) Apply Laboratory Hardware filter
- Laboratory Tool (6) Apply Laboratory Tool filter
- Laboratory Tools (51) Apply Laboratory Tools filter
- Medical Technology (1) Apply Medical Technology filter
- Model Organisms (9) Apply Model Organisms filter
- Reagents (29) Apply Reagents filter
- Software (20) Apply Software filter
4870 Results
Showing 1-10 of 4870 resultsDifferential Scanning Fluorimetry (DSF) is a biophysical assay that is used to estimate protein stability in vitro. In a DSF experiment, the increased fluorescence of a solvatochromatic dye, such as Sypro Orange, is used to detect the unfolding of a protein during heating. However, Sypro Orange is only compatible with a minority of proteins (< 30%), limiting the scope of this method. We recently reported that protein-adaptive DSF (paDSF) can partially solve this problem, wherein the protein is initially pre-screened against ∼300 chemically diverse dyes, termed the Aurora collection. While this approach significantly improves the number of targets amenable to DSF, it still fails to produce protein-dye pairs for some proteins. Here, we report the expansion of the dye collection to Aurora 2.0, which includes a total of 517 structurally diverse molecules and multiple new chemotypes. To assess performance, these dyes were screened against a panel of ∼100 proteins, which were selected, in part, to represent the most challenging targets (e.g. small size). From this effort, Aurora 2.0 achieved an impressive success rate of 94%, including producing dyes for some targets that were not matched in the original collection. These findings support the idea that larger, more chemically diverse libraries improve the likelihood of detecting melting transitions across a wider range of proteins. We propose that Aurora 2.0 makes paDSF an increasingly powerful method for studying protein stability, ligand binding and other biophysical properties in high throughput.
Fluorescent proteins have transformed biological imaging, yet their limited photostability and brightness restrict their applications. We used deep learning-based de novo protein design methods to design binders to three bright, stable and cell-permeable dyes spanning the imaging spectrum: JF657 (far red), JF596 (orange-red) and JF494 (green). We obtain highly specific dye-binding proteins with low nanomolar affinities for the intended target; a crystal structure of one binder confirms close resemblance to the design model. Simultaneous labeling of mammalian cells expressing three dye-specific binders at different subcellular compartments demonstrates the utility in multiplex imaging. We further expand the functionality of the binder by incorporating an active site that carries out nucleophilic aromatic substitution to form a covalent linkage with the dye, and develop split versions which reconstitute fluorescence at subcellular locations where both halves are present towards monitoring in-cell protein interactions and chemically induced dimerization. Our designed high affinity and specificity dye binders open up new opportunities for multiplexed biological imaging.
Summary: Molecular compartmentalization is vital for cellular physiology. Spatially-resolved proteomics allows biologists to survey protein composition and dynamics with subcellular resolution. Here we present PEELing, an integrated package and user-friendly web service for analyzing spatially-resolved proteomics data. PEELing assesses data quality using curated or user-defined references, performs cutoff analysis to remove contaminants, connects to databases for functional annotation, and generates data visualizations-providing a streamlined and reproducible workflow to explore spatially-resolved proteomics data. Availability and implementation: PEELing and its tutorial are publicly available at https://peeling.janelia.org/ (Zenodo DOI: 10.5281/zenodo.15692517). A Python package of PEELing is available at https://github.com/JaneliaSciComp/peeling/ (Zenodo DOI: 10.5281/zenodo.15692434). Contact: Technical support for PEELing: peeling@janelia.hhmi.org. bioRxiv Preprint: https://doi.org/10.1101/2023.04.21.537871
The generation of post-gastrulation stem cell-derived mouse embryo models (SEMs) exclusively from naive embryonic stem cells (nESCs) has underscored their ability to give rise to embryonic and extra-embryonic lineages. However, existing protocols for mouse SEMs rely on the separate induction of extra-embryonic lineages and on ectopic expression of transcription factors to induce nESC differentiation into trophectoderm (TE) or primitive endoderm (PrE). Here, we demonstrate that mouse nESCs and naive induced pluripotent stem cells (niPSCs) can be simultaneously co-induced, via signaling pathway modulation, to generate PrE and TE extra-embryonic cells that self-organize into embryonic day (E) 8.5-E8.75 transgene-free (TF) SEMs. We also devised an alternative condition (AC) naive media that in vitro stabilizes TF-SEM-competent OCT4+/NANOG+ nESC colonies that co-express antagonistic CDX2 and/or GATA6 extra-embryonic fate master regulators and self-renew while remaining poised for TE and PrE differentiation, respectively. These findings improve mouse SEM strategies and shed light on amplifying an inherent and dormant extra-embryonic plasticity of mouse naive pluripotent cells in vitro.
Genetically encoded calcium indicators (GECIs) are vital tools for fluorescence-based visualization of neuronal activity with high spatial and temporal resolution. However, current highest-performance GECIs are predominantly green or red fluorescent, limiting multiplexing options and efficient excitation with fixed-wavelength femtosecond lasers operating at 1030 nm. Here, we introduce OCaMP (also known as O-GECO2), an orange fluorescent GECI engineered from O-GECO1 through targeted substitutions to improve calcium affinity while retaining the favorable photophysical properties of mOrange2. OCaMP exhibits improved two-photon cross-section, responsiveness, photostability, and calcium affinity relative to O-GECO1. In cultured neurons, zebrafish, and mouse cortex, OCaMP outperforms the red GECIs jRCaMP1a and jRGECO1a in sensitivity, kinetics, and signal-to-noise ratio. These properties establish OCaMP as a robust tool for high-fidelity neural imaging optimized for 1030 nm excitation and a compromise-free option within the spectral gap between existing green and red GECIs.
Epithelial polarity is essential for proper tissue organization and function, yet the molecular mechanisms governing apical membrane formation during secretory epithelial development remain incompletely understood. Here, we investigate the role of the small GTPase Cdc42 in salivary gland acinar cell development using a mouse model designed to knock out Cdc42 specifically at the onset of acinar cell formation. Loss of Cdc42 resulted in defective apical membrane formation accompanied by accumulation of vesicles around the apical lumen. These vesicles contained the apical water channel AQP5 and the apical recycling endosome (ARE) marker Rab11a, while the basolateral transporter NKCC1 retained normal localization, indicating an apical-selective trafficking defect. Importantly, Cdc42 deficiency caused a selective 40% reduction in the expression of the SNARE protein VAMP2, while other vesicle trafficking proteins including VAMP8, SNAP23, and EEA1 remained unchanged. Our findings reveal that Cdc42 controls apical membrane formation by maintaining VAMP2 expression, which is essential for the fusion of Rab11a-positive recycling endosomes. The accumulation of fusion-incompetent AREs near the apical surface demonstrates the critical role of the Cdc42-VAMP2 pathway in epithelial development. These results provide new insights into how polarity regulators integrate vesicle trafficking and fusion machinery, and may have implications for understanding glandular diseases involving epithelial polarity defects.
Cryo-ultramicrotomy, developed by Bernhard in 1965 [1], has long been regarded as the pinnacle of achievement for electron microscopists. This technique allows biological samples to be sliced into ultrathin sections and examined in a cryo-electron microscope, revealing the most intricate subcellular structures without chemical fixation or staining. The advent of vitrification [2,3] and high-pressure freezing (HPF) technology [4,5] provided reliable methods for preserving cellular structures, and the introduction of diamond knife to cryo-ultramicrotomy [6] offering cryo-ultramicrotomists reassurance in consistency of the quality [7].
Just as genomes revolutionized molecular genetics, connectomes (maps of neurons and synapses) are transforming neuroscience. To date, the only species with complete connectomes are worms and sea squirts (103-104 synapses). By contrast, the fruit fly is more complex (108 synaptic connections), with a brain that supports learning and spatial memory and an intricate ventral nerve cord analogous to the vertebrate spinal cord. Here we report the first adult fly connectome that unites the brain and ventral nerve cord, and we leverage this resource to investigate principles of neural control. We show that effector cells (motor neurons, endocrine cells and efferent neurons targeting the viscera) are primarily influenced by local sensory cells in the same body part, forming local feedback loops. These local loops are linked by long-range circuits involving ascending and descending neurons organized into behavior-centric modules. Single ascending and descending neurons are often positioned to influence the voluntary movements of multiple body parts, together with endocrine cells or visceral organs that support those movements. Brain regions involved in learning and navigation supervise these circuits. These results reveal an architecture that is distributed, parallelized and embodied (tightly connected to effectors), reminiscent of distributed control architectures in engineered systems.
Michael P. Sheetz (1946–2025) advanced the field of mechanobiology through his creative experiments, new methodologies, and keen insights. His research touched many fields of cell biology, including membrane biophysics, motor proteins, the cytoskeleton, cell migration, and cellular senescence. In addition to his research, Sheetz was a leader who built vibrant academic departments and institutes and advanced the careers of many trainees.