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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...

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Autores principales: Heusel, Moritz, Bludau, Isabell, Rosenberger, George, Hafen, Robin, Frank, Max, Banaei‐Esfahani, Amir, van Drogen, Audrey, Collins, Ben C, Gstaiger, Matthias, Aebersold, Ruedi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
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.
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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
title_full Complex‐centric proteome profiling by SEC‐SWATH‐MS
title_fullStr Complex‐centric proteome profiling by SEC‐SWATH‐MS
title_full_unstemmed Complex‐centric proteome profiling by SEC‐SWATH‐MS
title_short Complex‐centric proteome profiling by SEC‐SWATH‐MS
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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