ArticleBiology open2015
Tissue-specific tagging of endogenous loci in Drosophila melanogaster.
Article in Biology open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 30 citations in OpenAlex.
- Tissue-specific knockout in the Drosophila neuromuscular system reveals ESCRT's role in formation of synapse-derived extracellular vesicles.PLoS genetics · 2024Article
- ESCRT disruption provides evidence against trans-synaptic signaling via extracellular vesicles.The Journal of cell biology · 2024Article
- Seminar: Functional Exposomics and Mechanisms of Toxicity-Insights from Model Systems and NAMs.Environmental health perspectives · 2024Review
- ESCRT disruption provides evidence against transsynaptic signaling functions for extracellular vesicles.bioRxiv : the preprint server for biology · 2024Article
- An approach for quantitative mapping of synaptic periactive zone architecture and organization.Molecular biology of the cell · 2023Article
- Knock-in tagging in zebrafish facilitated by insertion into non-coding regions.Development (Cambridge, England) · 2021Article
- Opposing functions for retromer and Rab11 in extracellular vesicle traffic at presynaptic terminals.The Journal of cell biology · 2021Article
- Receptors and Channels Associated with Alcohol Use: Contributions fromNeuroscience insights · 2021Review
- The ESCRT machinery regulates retromer-dependent transcytosis of septate junction components ineLife · 2020Article
- Genetic background mutations drive neural circuit hyperconnectivity in a fragile X syndrome model.BMC biology · 2020Article
- Extracellular matrix induced by steroids and aging through a G-protein-coupled receptor in aDisease models & mechanisms · 2020Article
- Article
- Cellular Uptake of A Taurine-Modified, Ester Bond-Decorated D-Peptide Derivative via Dynamin-Based Endocytosis and Macropinocytosis.Molecular therapy : the journal of the American Society of Gene Therapy · 2018Article
- Engineering the Drosophila Genome for Developmental Biology.Journal of developmental biology · 2017Review
- dOCRL maintains immune cell quiescence by regulating endosomal traffic.PLoS genetics · 2017Article
- Review
- Editing the Neuronal Genome: a CRISPR View of Chromatin Regulation in Neuronal Development, Function, and Plasticity.The Yale journal of biology and medicine · 2016Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Fluorescent protein tags have revolutionized cell and developmental biology, and in combination with binary expression systems they enable diverse tissue-specific studies of protein function. However these binary expression systems often do not recapitulate endogenous protein expression levels, localization, binding partners and/or developmental windows of gene expression. To address these limitations, we have developed a method called T-STEP (tissue-specific tagging of endogenous proteins) that allows endogenous loci to be tagged in a tissue specific manner. T-STEP uses a combination of efficient CRISPR/Cas9-enhanced gene targeting and tissue-specific recombinase-mediated tag swapping to temporally and spatially label endogenous proteins. We have employed this method to GFP tag OCRL (a phosphoinositide-5-phosphatase in the endocytic pathway) and Vps35 (a Parkinson's disease-implicated component of the endosomal retromer complex) in diverse Drosophila tissues including neurons, glia, muscles and hemocytes. Selective tagging of endogenous proteins allows, for the first time, cell type-specific live imaging and proteomics in complex tissues.
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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.