ArticleThe Journal of cell biology2019
Software for lattice light-sheet imaging of FRET biosensors, illustrated with a new Rap1 biosensor.
Article in The Journal of cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 43 citations in OpenAlex.
- RAP1-RHO small GTPase cross-talk mediates integrindependent and -independent platelet procoagulant response.Haematologica · 2026Article
- RhoG, Rac1 and Cdc42 cooperation in cell protrusion revealed by multiplexed optogenetics and biosensor imaging.bioRxiv : the preprint server for biology · 2026Article
- Engineered interfaces in Rac1 and Cdc42 biosensors enhance sensitivity and reduce cell perturbation.Molecular biology of the cell · 2026Article
- Oncolytic vaccinia virus encoding constitutively active EPAC remodels the tumor microenvironment to enhance therapeutic efficacy with chemotherapy and surgery.Journal for immunotherapy of cancer · 2026Article
- Robust calibration and quantification of FRET signals using multiplexed biosensor barcoding.iScience · 2025Article
- Lipid-Mediated Assembly of Biomolecular Condensates: Mechanisms, Regulation, and Therapeutic Implications.Biology · 2025Review
- Unravelling molecular dynamics in living cells: Fluorescent protein biosensors for cell biology.Journal of microscopy · 2025Review
- TRIM9 Controls Growth Cone Responses to Netrin Through DCC and UNC5C.Journal of neurochemistry · 2025Article
- Computationally designed sensors detect endogenous Ras activity and signaling effectors at subcellular resolution.Nature biotechnology · 2024Article
- Molecular Spies in Action: Genetically Encoded Fluorescent Biosensors Light up Cellular Signals.Chemical reviews · 2024Review
- pHusion - a robust and versatile toolset for automated detection and analysis of exocytosis.Journal of cell science · 2024Article
- Article
- Cellular harmonics for the morphology-invariant analysis of molecular organization at the cell surface.Nature computational science · 2023Article
- Surface-guided computing to analyze subcellular morphology and membrane-associated signals in 3D.bioRxiv : the preprint server for biology · 2023Article
- Surface-guided computing to analyze subcellular morphology and membrane-associated signals in 3D.ArXiv · 2023Article
- Advances in NK cell therapy for brain tumors.NPJ precision oncology · 2023Review
- Double-stranded RNA drives SARS-CoV-2 nucleocapsid protein to undergo phase separation at specific temperatures.Nucleic acids research · 2022Article
- Article
- LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images.Frontiers in bioinformatics · 2022Article
- Simulating Dynamic Chromosome Compaction: Methods for Bridging In Silico to In Vivo.Methods in molecular biology (Clifton, N.J.) · 2022Article
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
Lattice light-sheet microscopy (LLSM) is valuable for its combination of reduced photobleaching and outstanding spatiotemporal resolution in 3D. Using LLSM to image biosensors in living cells could provide unprecedented visualization of rapid, localized changes in protein conformation or posttranslational modification. However, computational manipulations required for biosensor imaging with LLSM are challenging for many software packages. The calculations require processing large amounts of data even for simple changes such as reorientation of cell renderings or testing the effects of user-selectable settings, and lattice imaging poses unique challenges in thresholding and ratio imaging. We describe here a new software package, named ImageTank, that is specifically designed for practical imaging of biosensors using LLSM. To demonstrate its capabilities, we use a new biosensor to study the rapid 3D dynamics of the small GTPase Rap1 in vesicles and cell protrusions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.