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A genetically encoded photoproximity labeling approach for mapping protein territories
Studying dynamic biological processes requires approaches compatible with the lifetimes of the biochemical transactions under investigation, which can be very short. We describe a genetically encoded system that allows protein neighborhoods to be mapped using visible light. Our approach involves fus...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120045/ https://www.ncbi.nlm.nih.gov/pubmed/37036999 http://dx.doi.org/10.1073/pnas.2219339120 |
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author | Hananya, Nir Ye, Xuanjia Koren, Shany Muir, Tom W. |
author_facet | Hananya, Nir Ye, Xuanjia Koren, Shany Muir, Tom W. |
author_sort | Hananya, Nir |
collection | PubMed |
description | Studying dynamic biological processes requires approaches compatible with the lifetimes of the biochemical transactions under investigation, which can be very short. We describe a genetically encoded system that allows protein neighborhoods to be mapped using visible light. Our approach involves fusing an engineered flavoprotein to a protein of interest. Brief excitation of the fusion protein leads to the labeling of nearby proteins with cell-permeable probes. Mechanistic studies reveal different labeling pathways are operational depending on the nature of the exogenous probe that is employed. When combined with quantitative proteomics, this photoproximity labeling system generates “snapshots” of protein territories with high temporal and spatial resolution. The intrinsic fluorescence of the fusion domain permits correlated imaging and proteomics analyses, a capability that is exploited in several contexts, including defining the protein clients of the major vault protein. The technology should be broadly useful in the biomedical area. |
format | Online Article Text |
id | pubmed-10120045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-101200452023-10-10 A genetically encoded photoproximity labeling approach for mapping protein territories Hananya, Nir Ye, Xuanjia Koren, Shany Muir, Tom W. Proc Natl Acad Sci U S A Biological Sciences Studying dynamic biological processes requires approaches compatible with the lifetimes of the biochemical transactions under investigation, which can be very short. We describe a genetically encoded system that allows protein neighborhoods to be mapped using visible light. Our approach involves fusing an engineered flavoprotein to a protein of interest. Brief excitation of the fusion protein leads to the labeling of nearby proteins with cell-permeable probes. Mechanistic studies reveal different labeling pathways are operational depending on the nature of the exogenous probe that is employed. When combined with quantitative proteomics, this photoproximity labeling system generates “snapshots” of protein territories with high temporal and spatial resolution. The intrinsic fluorescence of the fusion domain permits correlated imaging and proteomics analyses, a capability that is exploited in several contexts, including defining the protein clients of the major vault protein. The technology should be broadly useful in the biomedical area. National Academy of Sciences 2023-04-10 2023-04-18 /pmc/articles/PMC10120045/ /pubmed/37036999 http://dx.doi.org/10.1073/pnas.2219339120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Hananya, Nir Ye, Xuanjia Koren, Shany Muir, Tom W. A genetically encoded photoproximity labeling approach for mapping protein territories |
title | A genetically encoded photoproximity labeling approach for mapping protein territories |
title_full | A genetically encoded photoproximity labeling approach for mapping protein territories |
title_fullStr | A genetically encoded photoproximity labeling approach for mapping protein territories |
title_full_unstemmed | A genetically encoded photoproximity labeling approach for mapping protein territories |
title_short | A genetically encoded photoproximity labeling approach for mapping protein territories |
title_sort | genetically encoded photoproximity labeling approach for mapping protein territories |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120045/ https://www.ncbi.nlm.nih.gov/pubmed/37036999 http://dx.doi.org/10.1073/pnas.2219339120 |
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