Split-TurboID enables contact-dependent proximity labeling in cells

التفاصيل البيبلوغرافية
العنوان: Split-TurboID enables contact-dependent proximity labeling in cells
المؤلفون: Sanjana Rajeev, Chulhwan Kwak, Tanya Svinkina, Alice Y. Ting, Kelvin F. Cho, Themis Thoudam, Hyun-Woo Rhee, Steven A. Carr, Inkyu Lee, Namrata D. Udeshi, Tess C. Branon
المصدر: Proc Natl Acad Sci U S A
سنة النشر: 2020
مصطلحات موضوعية: chemistry.chemical_classification, 0303 health sciences, Biochemical fractionation, Conventional fractionation, Multidisciplinary, Proteome, Staining and Labeling, Chemistry, Endoplasmic reticulum, Membrane Proteins, Biological Sciences, Endoplasmic Reticulum, Mitochondria, 03 medical and health sciences, 0302 clinical medicine, Enzyme, HEK293 Cells, Biotinylation, Organelle, Mitochondrial Membranes, Biophysics, Humans, 030217 neurology & neurosurgery, 030304 developmental biology
الوصف: Proximity labeling (PL) catalyzed by promiscuous enzymes such as TurboID have enabled the proteomic analysis of subcellular regions difficult or impossible to access by conventional fractionation-based approaches. Yet some cellular regions, such as organelle contact sites, remain out of reach for current PL methods. To address this limitation, we split the enzyme TurboID into two inactive fragments that recombine when driven together by a protein-protein interaction or membrane-membrane apposition. At endoplasmic reticulum (ER)-mitochondria contact sites, reconstituted TurboID catalyzed spatially-restricted biotinylation, enabling the enrichment and identification of >100 endogenous proteins, including many not previously linked to ER-mitochondria contacts. We validated eight novel candidates by biochemical fractionation and overexpression imaging. Overall, split-TurboID is a versatile tool for conditional and spatially-specific proximity labeling in cells.
تدمد: 1091-6490
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::775b74ca52dca5c5080e222099059e70
https://pubmed.ncbi.nlm.nih.gov/32424107
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....775b74ca52dca5c5080e222099059e70
قاعدة البيانات: OpenAIRE