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A proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts

Inter-organelle membrane contacts are highly dynamic and act as central hubs for many biological processes, but the protein compositions remain largely unknown due to the lack of efficient tools. Here, we developed BiFCPL to analyze the contact proteome in living cells by a bimolecular fluorescence...

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Autores principales: Zhou, Maoge, Kong, Bingjie, Zhang, Xiang, Xiao, Ke, Lu, Jing, Li, Weixing, Li, Min, Li, Zonghong, Ji, Wei, Hou, Junjie, Xu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362359/
https://www.ncbi.nlm.nih.gov/pubmed/37485370
http://dx.doi.org/10.1016/j.isci.2023.107159
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author Zhou, Maoge
Kong, Bingjie
Zhang, Xiang
Xiao, Ke
Lu, Jing
Li, Weixing
Li, Min
Li, Zonghong
Ji, Wei
Hou, Junjie
Xu, Tao
author_facet Zhou, Maoge
Kong, Bingjie
Zhang, Xiang
Xiao, Ke
Lu, Jing
Li, Weixing
Li, Min
Li, Zonghong
Ji, Wei
Hou, Junjie
Xu, Tao
author_sort Zhou, Maoge
collection PubMed
description Inter-organelle membrane contacts are highly dynamic and act as central hubs for many biological processes, but the protein compositions remain largely unknown due to the lack of efficient tools. Here, we developed BiFCPL to analyze the contact proteome in living cells by a bimolecular fluorescence complementation (BiFC)-based proximity labeling (PL) strategy. BiFCPL was applied to study mitochondria-endoplasmic reticulum contacts (MERCs) and mitochondria-lipid droplet (LD) contacts. We identified 403 highly confident MERC proteins, including many transiently resident proteins and potential tethers. Moreover, we demonstrated that mitochondria-LD contacts are sensitive to nutrient status. A comparative proteomic analysis revealed that 60 proteins are up- or downregulated at contact sites under metabolic challenge. We verified that SQLE, an enzyme for cholesterol synthesis, accumulates at mitochondria-LD contact sites probably to utilize local ATP for cholesterol synthesis. This work provides an efficient method to identify key proteins at inter-organelle membrane contacts in living cells.
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spelling pubmed-103623592023-07-23 A proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts Zhou, Maoge Kong, Bingjie Zhang, Xiang Xiao, Ke Lu, Jing Li, Weixing Li, Min Li, Zonghong Ji, Wei Hou, Junjie Xu, Tao iScience Article Inter-organelle membrane contacts are highly dynamic and act as central hubs for many biological processes, but the protein compositions remain largely unknown due to the lack of efficient tools. Here, we developed BiFCPL to analyze the contact proteome in living cells by a bimolecular fluorescence complementation (BiFC)-based proximity labeling (PL) strategy. BiFCPL was applied to study mitochondria-endoplasmic reticulum contacts (MERCs) and mitochondria-lipid droplet (LD) contacts. We identified 403 highly confident MERC proteins, including many transiently resident proteins and potential tethers. Moreover, we demonstrated that mitochondria-LD contacts are sensitive to nutrient status. A comparative proteomic analysis revealed that 60 proteins are up- or downregulated at contact sites under metabolic challenge. We verified that SQLE, an enzyme for cholesterol synthesis, accumulates at mitochondria-LD contact sites probably to utilize local ATP for cholesterol synthesis. This work provides an efficient method to identify key proteins at inter-organelle membrane contacts in living cells. Elsevier 2023-06-17 /pmc/articles/PMC10362359/ /pubmed/37485370 http://dx.doi.org/10.1016/j.isci.2023.107159 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Zhou, Maoge
Kong, Bingjie
Zhang, Xiang
Xiao, Ke
Lu, Jing
Li, Weixing
Li, Min
Li, Zonghong
Ji, Wei
Hou, Junjie
Xu, Tao
A proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts
title A proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts
title_full A proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts
title_fullStr A proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts
title_full_unstemmed A proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts
title_short A proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts
title_sort proximity labeling strategy enables proteomic analysis of inter-organelle membrane contacts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362359/
https://www.ncbi.nlm.nih.gov/pubmed/37485370
http://dx.doi.org/10.1016/j.isci.2023.107159
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