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Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling

Enzymatic-based proximity labeling approaches based on activated esters or phenoxy radicals have been widely used for mapping subcellular proteome and protein interactors in living cells. However, activated esters are poorly reactive which leads to a wide labeling radius and phenoxy radicals generat...

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Autores principales: Zhai, Yansheng, Huang, Xiaoyan, Zhang, Keren, Huang, Yuchen, Jiang, Yanlong, Cui, Jingwei, Zhang, Zhe, Chiu, Cookson K. C., Zhong, Weiye, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392063/
https://www.ncbi.nlm.nih.gov/pubmed/35987950
http://dx.doi.org/10.1038/s41467-022-32689-z
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author Zhai, Yansheng
Huang, Xiaoyan
Zhang, Keren
Huang, Yuchen
Jiang, Yanlong
Cui, Jingwei
Zhang, Zhe
Chiu, Cookson K. C.
Zhong, Weiye
Li, Gang
author_facet Zhai, Yansheng
Huang, Xiaoyan
Zhang, Keren
Huang, Yuchen
Jiang, Yanlong
Cui, Jingwei
Zhang, Zhe
Chiu, Cookson K. C.
Zhong, Weiye
Li, Gang
author_sort Zhai, Yansheng
collection PubMed
description Enzymatic-based proximity labeling approaches based on activated esters or phenoxy radicals have been widely used for mapping subcellular proteome and protein interactors in living cells. However, activated esters are poorly reactive which leads to a wide labeling radius and phenoxy radicals generated by peroxide treatment may disturb redox-sensitive pathways. Herein, we report a photoactivation-dependent proximity labeling (PDPL) method designed by genetically attaching photosensitizer protein miniSOG to a protein of interest. Triggered by blue light and tunned by irradiation time, singlet oxygen is generated, thereafter enabling spatiotemporally-resolved aniline probe labeling of histidine residues. We demonstrate its high-fidelity through mapping of organelle-specific proteomes. Side-by-side comparison of PDPL with TurboID reveals more specific and deeper proteomic coverage by PDPL. We further apply PDPL to the disease-related transcriptional coactivator BRD4 and E3 ligase Parkin, and discover previously unknown interactors. Through over-expression screening, two unreported substrates Ssu72 and SNW1 are identified for Parkin, whose degradation processes are mediated by the ubiquitination-proteosome pathway.
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spelling pubmed-93920632022-08-22 Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling Zhai, Yansheng Huang, Xiaoyan Zhang, Keren Huang, Yuchen Jiang, Yanlong Cui, Jingwei Zhang, Zhe Chiu, Cookson K. C. Zhong, Weiye Li, Gang Nat Commun Article Enzymatic-based proximity labeling approaches based on activated esters or phenoxy radicals have been widely used for mapping subcellular proteome and protein interactors in living cells. However, activated esters are poorly reactive which leads to a wide labeling radius and phenoxy radicals generated by peroxide treatment may disturb redox-sensitive pathways. Herein, we report a photoactivation-dependent proximity labeling (PDPL) method designed by genetically attaching photosensitizer protein miniSOG to a protein of interest. Triggered by blue light and tunned by irradiation time, singlet oxygen is generated, thereafter enabling spatiotemporally-resolved aniline probe labeling of histidine residues. We demonstrate its high-fidelity through mapping of organelle-specific proteomes. Side-by-side comparison of PDPL with TurboID reveals more specific and deeper proteomic coverage by PDPL. We further apply PDPL to the disease-related transcriptional coactivator BRD4 and E3 ligase Parkin, and discover previously unknown interactors. Through over-expression screening, two unreported substrates Ssu72 and SNW1 are identified for Parkin, whose degradation processes are mediated by the ubiquitination-proteosome pathway. Nature Publishing Group UK 2022-08-20 /pmc/articles/PMC9392063/ /pubmed/35987950 http://dx.doi.org/10.1038/s41467-022-32689-z Text en © The Author(s) 2022 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
Zhai, Yansheng
Huang, Xiaoyan
Zhang, Keren
Huang, Yuchen
Jiang, Yanlong
Cui, Jingwei
Zhang, Zhe
Chiu, Cookson K. C.
Zhong, Weiye
Li, Gang
Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling
title Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling
title_full Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling
title_fullStr Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling
title_full_unstemmed Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling
title_short Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling
title_sort spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392063/
https://www.ncbi.nlm.nih.gov/pubmed/35987950
http://dx.doi.org/10.1038/s41467-022-32689-z
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