학술논문

Multi-omics analysis identifies drivers of protein phosphorylation
Document Type
article
Source
Genome Biology, Vol 24, Iss 1, Pp 1-29 (2023)
Subject
Collaborative Cross
Phosphorylation
Quantitative trait loci (QTL)
Multi-omics
Medation analysis
Phosphorylation regulation
Biology (General)
QH301-705.5
Genetics
QH426-470
Language
English
ISSN
1474-760X
Abstract
Abstract 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.