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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...

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Detalles Bibliográficos
Autores principales: Hananya, Nir, Ye, Xuanjia, Koren, Shany, Muir, Tom W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
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.
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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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