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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10362359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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