Cargando…

Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome

Mapping the subcellular organization of proteins is crucial for understanding their biological functions. Herein, we report a reactive oxygen species induced protein labeling and identification (RinID) method for profiling subcellular proteome in the context of living cells. Our method capitalizes o...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Fu, Yu, Chenxin, Zhou, Xinyue, Zou, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205723/
https://www.ncbi.nlm.nih.gov/pubmed/37221179
http://dx.doi.org/10.1038/s41467-023-38565-8
_version_ 1785046086861193216
author Zheng, Fu
Yu, Chenxin
Zhou, Xinyue
Zou, Peng
author_facet Zheng, Fu
Yu, Chenxin
Zhou, Xinyue
Zou, Peng
author_sort Zheng, Fu
collection PubMed
description Mapping the subcellular organization of proteins is crucial for understanding their biological functions. Herein, we report a reactive oxygen species induced protein labeling and identification (RinID) method for profiling subcellular proteome in the context of living cells. Our method capitalizes on a genetically encoded photocatalyst, miniSOG, to locally generate singlet oxygen that reacts with proximal proteins. Labeled proteins are conjugated in situ with an exogenously supplied nucleophilic probe, which serves as a functional handle for subsequent affinity enrichment and mass spectrometry-based protein identification. From a panel of nucleophilic compounds, we identify biotin-conjugated aniline and propargyl amine as highly reactive probes. As a demonstration of the spatial specificity and depth of coverage in mammalian cells, we apply RinID in the mitochondrial matrix, capturing 477 mitochondrial proteins with 94% specificity. We further demonstrate the broad applicability of RinID in various subcellular compartments, including the nucleus and the endoplasmic reticulum (ER). The temporal control of RinID enables pulse-chase labeling of ER proteome in HeLa cells, which reveals substantially higher clearance rate for secreted proteins than ER resident proteins.
format Online
Article
Text
id pubmed-10205723
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-102057232023-05-25 Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome Zheng, Fu Yu, Chenxin Zhou, Xinyue Zou, Peng Nat Commun Article Mapping the subcellular organization of proteins is crucial for understanding their biological functions. Herein, we report a reactive oxygen species induced protein labeling and identification (RinID) method for profiling subcellular proteome in the context of living cells. Our method capitalizes on a genetically encoded photocatalyst, miniSOG, to locally generate singlet oxygen that reacts with proximal proteins. Labeled proteins are conjugated in situ with an exogenously supplied nucleophilic probe, which serves as a functional handle for subsequent affinity enrichment and mass spectrometry-based protein identification. From a panel of nucleophilic compounds, we identify biotin-conjugated aniline and propargyl amine as highly reactive probes. As a demonstration of the spatial specificity and depth of coverage in mammalian cells, we apply RinID in the mitochondrial matrix, capturing 477 mitochondrial proteins with 94% specificity. We further demonstrate the broad applicability of RinID in various subcellular compartments, including the nucleus and the endoplasmic reticulum (ER). The temporal control of RinID enables pulse-chase labeling of ER proteome in HeLa cells, which reveals substantially higher clearance rate for secreted proteins than ER resident proteins. Nature Publishing Group UK 2023-05-23 /pmc/articles/PMC10205723/ /pubmed/37221179 http://dx.doi.org/10.1038/s41467-023-38565-8 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zheng, Fu
Yu, Chenxin
Zhou, Xinyue
Zou, Peng
Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome
title Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome
title_full Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome
title_fullStr Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome
title_full_unstemmed Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome
title_short Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome
title_sort genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205723/
https://www.ncbi.nlm.nih.gov/pubmed/37221179
http://dx.doi.org/10.1038/s41467-023-38565-8
work_keys_str_mv AT zhengfu geneticallyencodedphotocatalyticproteinlabelingenablesspatiallyresolvedprofilingofintracellularproteome
AT yuchenxin geneticallyencodedphotocatalyticproteinlabelingenablesspatiallyresolvedprofilingofintracellularproteome
AT zhouxinyue geneticallyencodedphotocatalyticproteinlabelingenablesspatiallyresolvedprofilingofintracellularproteome
AT zoupeng geneticallyencodedphotocatalyticproteinlabelingenablesspatiallyresolvedprofilingofintracellularproteome