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Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery
Co-fractionation/mass spectrometry (CF/MS) enables the mapping of endogenous macromolecular networks on a proteome scale, but current methods are experimentally laborious, resource intensive and afford lesser quantitative accuracy. Here, we present a technically efficient, cost-effective and reprodu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279285/ https://www.ncbi.nlm.nih.gov/pubmed/35831314 http://dx.doi.org/10.1038/s41467-022-31809-z |
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author | Havugimana, Pierre C. Goel, Raghuveera Kumar Phanse, Sadhna Youssef, Ahmed Padhorny, Dzmitry Kotelnikov, Sergei Kozakov, Dima Emili, Andrew |
author_facet | Havugimana, Pierre C. Goel, Raghuveera Kumar Phanse, Sadhna Youssef, Ahmed Padhorny, Dzmitry Kotelnikov, Sergei Kozakov, Dima Emili, Andrew |
author_sort | Havugimana, Pierre C. |
collection | PubMed |
description | Co-fractionation/mass spectrometry (CF/MS) enables the mapping of endogenous macromolecular networks on a proteome scale, but current methods are experimentally laborious, resource intensive and afford lesser quantitative accuracy. Here, we present a technically efficient, cost-effective and reproducible multiplex CF/MS (mCF/MS) platform for measuring and comparing, simultaneously, multi-protein assemblies across different experimental samples at a rate that is up to an order of magnitude faster than previous approaches. We apply mCF/MS to map the protein interaction landscape of non-transformed mammary epithelia versus breast cancer cells in parallel, revealing large-scale differences in protein-protein interactions and the relative abundance of associated macromolecules connected with cancer-related pathways and altered cellular processes. The integration of multiplexing capability within an optimized workflow renders mCF/MS as a powerful tool for systematically exploring physical interaction networks in a comparative manner. |
format | Online Article Text |
id | pubmed-9279285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92792852022-07-15 Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery Havugimana, Pierre C. Goel, Raghuveera Kumar Phanse, Sadhna Youssef, Ahmed Padhorny, Dzmitry Kotelnikov, Sergei Kozakov, Dima Emili, Andrew Nat Commun Article Co-fractionation/mass spectrometry (CF/MS) enables the mapping of endogenous macromolecular networks on a proteome scale, but current methods are experimentally laborious, resource intensive and afford lesser quantitative accuracy. Here, we present a technically efficient, cost-effective and reproducible multiplex CF/MS (mCF/MS) platform for measuring and comparing, simultaneously, multi-protein assemblies across different experimental samples at a rate that is up to an order of magnitude faster than previous approaches. We apply mCF/MS to map the protein interaction landscape of non-transformed mammary epithelia versus breast cancer cells in parallel, revealing large-scale differences in protein-protein interactions and the relative abundance of associated macromolecules connected with cancer-related pathways and altered cellular processes. The integration of multiplexing capability within an optimized workflow renders mCF/MS as a powerful tool for systematically exploring physical interaction networks in a comparative manner. Nature Publishing Group UK 2022-07-13 /pmc/articles/PMC9279285/ /pubmed/35831314 http://dx.doi.org/10.1038/s41467-022-31809-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 Havugimana, Pierre C. Goel, Raghuveera Kumar Phanse, Sadhna Youssef, Ahmed Padhorny, Dzmitry Kotelnikov, Sergei Kozakov, Dima Emili, Andrew Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery |
title | Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery |
title_full | Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery |
title_fullStr | Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery |
title_full_unstemmed | Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery |
title_short | Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery |
title_sort | scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279285/ https://www.ncbi.nlm.nih.gov/pubmed/35831314 http://dx.doi.org/10.1038/s41467-022-31809-z |
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