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Complex‐centric proteome profiling by SEC‐SWATH‐MS
Proteins are major effectors and regulators of biological processes that can elicit multiple functions depending on their interaction with other proteins. The organization of proteins into macromolecular complexes and their quantitative distribution across these complexes is, therefore, of great bio...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346213/ https://www.ncbi.nlm.nih.gov/pubmed/30642884 http://dx.doi.org/10.15252/msb.20188438 |
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author | Heusel, Moritz Bludau, Isabell Rosenberger, George Hafen, Robin Frank, Max Banaei‐Esfahani, Amir van Drogen, Audrey Collins, Ben C Gstaiger, Matthias Aebersold, Ruedi |
author_facet | Heusel, Moritz Bludau, Isabell Rosenberger, George Hafen, Robin Frank, Max Banaei‐Esfahani, Amir van Drogen, Audrey Collins, Ben C Gstaiger, Matthias Aebersold, Ruedi |
author_sort | Heusel, Moritz |
collection | PubMed |
description | Proteins are major effectors and regulators of biological processes that can elicit multiple functions depending on their interaction with other proteins. The organization of proteins into macromolecular complexes and their quantitative distribution across these complexes is, therefore, of great biological and clinical significance. In this paper, we describe an integrated experimental and computational technique to quantify hundreds of protein complexes in a single operation. The method consists of size exclusion chromatography (SEC) to fractionate native protein complexes, SWATH/DIA mass spectrometry to precisely quantify the proteins in each SEC fraction, and the computational framework CCprofiler to detect and quantify protein complexes by error‐controlled, complex‐centric analysis using prior information from generic protein interaction maps. Our analysis of the HEK293 cell line proteome delineates 462 complexes composed of 2,127 protein subunits. The technique identifies novel sub‐complexes and assembly intermediates of central regulatory complexes while assessing the quantitative subunit distribution across them. We make the toolset CCprofiler freely accessible and provide a web platform, SECexplorer, for custom exploration of the HEK293 proteome modularity. |
format | Online Article Text |
id | pubmed-6346213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63462132019-01-28 Complex‐centric proteome profiling by SEC‐SWATH‐MS Heusel, Moritz Bludau, Isabell Rosenberger, George Hafen, Robin Frank, Max Banaei‐Esfahani, Amir van Drogen, Audrey Collins, Ben C Gstaiger, Matthias Aebersold, Ruedi Mol Syst Biol Articles Proteins are major effectors and regulators of biological processes that can elicit multiple functions depending on their interaction with other proteins. The organization of proteins into macromolecular complexes and their quantitative distribution across these complexes is, therefore, of great biological and clinical significance. In this paper, we describe an integrated experimental and computational technique to quantify hundreds of protein complexes in a single operation. The method consists of size exclusion chromatography (SEC) to fractionate native protein complexes, SWATH/DIA mass spectrometry to precisely quantify the proteins in each SEC fraction, and the computational framework CCprofiler to detect and quantify protein complexes by error‐controlled, complex‐centric analysis using prior information from generic protein interaction maps. Our analysis of the HEK293 cell line proteome delineates 462 complexes composed of 2,127 protein subunits. The technique identifies novel sub‐complexes and assembly intermediates of central regulatory complexes while assessing the quantitative subunit distribution across them. We make the toolset CCprofiler freely accessible and provide a web platform, SECexplorer, for custom exploration of the HEK293 proteome modularity. John Wiley and Sons Inc. 2019-01-14 /pmc/articles/PMC6346213/ /pubmed/30642884 http://dx.doi.org/10.15252/msb.20188438 Text en © 2019 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Heusel, Moritz Bludau, Isabell Rosenberger, George Hafen, Robin Frank, Max Banaei‐Esfahani, Amir van Drogen, Audrey Collins, Ben C Gstaiger, Matthias Aebersold, Ruedi Complex‐centric proteome profiling by SEC‐SWATH‐MS |
title | Complex‐centric proteome profiling by SEC‐SWATH‐MS
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title_full | Complex‐centric proteome profiling by SEC‐SWATH‐MS
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title_fullStr | Complex‐centric proteome profiling by SEC‐SWATH‐MS
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title_full_unstemmed | Complex‐centric proteome profiling by SEC‐SWATH‐MS
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title_short | Complex‐centric proteome profiling by SEC‐SWATH‐MS
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title_sort | complex‐centric proteome profiling by sec‐swath‐ms |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346213/ https://www.ncbi.nlm.nih.gov/pubmed/30642884 http://dx.doi.org/10.15252/msb.20188438 |
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