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Multi-omics analysis identifies drivers of protein phosphorylation
BACKGROUND: Phosphorylation of proteins is a key step in the regulation of many cellular processes including activation of enzymes and signaling cascades. The abundance of a phosphorylated peptide (phosphopeptide) is determined by the abundance of its parent protein and the proportion of target site...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031968/ https://www.ncbi.nlm.nih.gov/pubmed/36944993 http://dx.doi.org/10.1186/s13059-023-02892-2 |
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author | Zhang, Tian Keele, Gregory R. Gyuricza, Isabela Gerdes Vincent, Matthew Brunton, Catherine Bell, Timothy A. Hock, Pablo Shaw, Ginger D. Munger, Steven C. de Villena, Fernando Pardo-Manuel Ferris, Martin T. Paulo, Joao A. Gygi, Steven P. Churchill, Gary A. |
author_facet | Zhang, Tian Keele, Gregory R. Gyuricza, Isabela Gerdes Vincent, Matthew Brunton, Catherine Bell, Timothy A. Hock, Pablo Shaw, Ginger D. Munger, Steven C. de Villena, Fernando Pardo-Manuel Ferris, Martin T. Paulo, Joao A. Gygi, Steven P. Churchill, Gary A. |
author_sort | Zhang, Tian |
collection | PubMed |
description | BACKGROUND: Phosphorylation of proteins is a key step in the regulation of many cellular processes including activation of enzymes and signaling cascades. The abundance of a phosphorylated peptide (phosphopeptide) is determined by the abundance of its parent protein and the proportion of target sites that are phosphorylated. RESULTS: We quantified phosphopeptides, proteins, and transcripts in heart, liver, and kidney tissue samples of mice from 58 strains of the Collaborative Cross strain panel. We mapped ~700 phosphorylation quantitative trait loci (phQTL) across the three tissues and applied genetic mediation analysis to identify causal drivers of phosphorylation. We identified kinases, phosphatases, cytokines, and other factors, including both known and potentially novel interactions between target proteins and genes that regulate site-specific phosphorylation. Our analysis highlights multiple targets of pyruvate dehydrogenase kinase 1 (PDK1), a regulator of mitochondrial function that shows reduced activity in the NZO/HILtJ mouse, a polygenic model of obesity and type 2 diabetes. CONCLUSIONS: Together, this integrative multi-omics analysis in genetically diverse CC strains provides a powerful tool to identify regulators of protein phosphorylation. The data generated in this study provides a resource for further exploration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02892-2. |
format | Online Article Text |
id | pubmed-10031968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100319682023-03-23 Multi-omics analysis identifies drivers of protein phosphorylation Zhang, Tian Keele, Gregory R. Gyuricza, Isabela Gerdes Vincent, Matthew Brunton, Catherine Bell, Timothy A. Hock, Pablo Shaw, Ginger D. Munger, Steven C. de Villena, Fernando Pardo-Manuel Ferris, Martin T. Paulo, Joao A. Gygi, Steven P. Churchill, Gary A. Genome Biol Research BACKGROUND: Phosphorylation of proteins is a key step in the regulation of many cellular processes including activation of enzymes and signaling cascades. The abundance of a phosphorylated peptide (phosphopeptide) is determined by the abundance of its parent protein and the proportion of target sites that are phosphorylated. RESULTS: We quantified phosphopeptides, proteins, and transcripts in heart, liver, and kidney tissue samples of mice from 58 strains of the Collaborative Cross strain panel. We mapped ~700 phosphorylation quantitative trait loci (phQTL) across the three tissues and applied genetic mediation analysis to identify causal drivers of phosphorylation. We identified kinases, phosphatases, cytokines, and other factors, including both known and potentially novel interactions between target proteins and genes that regulate site-specific phosphorylation. Our analysis highlights multiple targets of pyruvate dehydrogenase kinase 1 (PDK1), a regulator of mitochondrial function that shows reduced activity in the NZO/HILtJ mouse, a polygenic model of obesity and type 2 diabetes. CONCLUSIONS: Together, this integrative multi-omics analysis in genetically diverse CC strains provides a powerful tool to identify regulators of protein phosphorylation. The data generated in this study provides a resource for further exploration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02892-2. BioMed Central 2023-03-21 /pmc/articles/PMC10031968/ /pubmed/36944993 http://dx.doi.org/10.1186/s13059-023-02892-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Tian Keele, Gregory R. Gyuricza, Isabela Gerdes Vincent, Matthew Brunton, Catherine Bell, Timothy A. Hock, Pablo Shaw, Ginger D. Munger, Steven C. de Villena, Fernando Pardo-Manuel Ferris, Martin T. Paulo, Joao A. Gygi, Steven P. Churchill, Gary A. Multi-omics analysis identifies drivers of protein phosphorylation |
title | Multi-omics analysis identifies drivers of protein phosphorylation |
title_full | Multi-omics analysis identifies drivers of protein phosphorylation |
title_fullStr | Multi-omics analysis identifies drivers of protein phosphorylation |
title_full_unstemmed | Multi-omics analysis identifies drivers of protein phosphorylation |
title_short | Multi-omics analysis identifies drivers of protein phosphorylation |
title_sort | multi-omics analysis identifies drivers of protein phosphorylation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031968/ https://www.ncbi.nlm.nih.gov/pubmed/36944993 http://dx.doi.org/10.1186/s13059-023-02892-2 |
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