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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.
Affiliation
  • Zhang T; Harvard Medical School, Boston, MA, 02115, USA.
  • Keele GR; The Jackson Laboratory, Bar Harbor, ME, 04609, USA.
  • Gyuricza IG; The Jackson Laboratory, Bar Harbor, ME, 04609, USA.
  • Vincent M; The Jackson Laboratory, Bar Harbor, ME, 04609, USA.
  • Brunton C; The Jackson Laboratory, Bar Harbor, ME, 04609, USA.
  • Bell TA; Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Hock P; Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Shaw GD; Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Munger SC; The Jackson Laboratory, Bar Harbor, ME, 04609, USA.
  • de Villena FP; Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Ferris MT; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Paulo JA; Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Gygi SP; Harvard Medical School, Boston, MA, 02115, USA.
  • Churchill GA; Harvard Medical School, Boston, MA, 02115, USA. steven_gygi@hms.harvard.edu.
Genome Biol ; 24(1): 52, 2023 03 21.
Article in En | MEDLINE | ID: mdl-36944993
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 Type of study: Prognostic_studies Limits: Animals Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 Type of study: Prognostic_studies Limits: Animals Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2023 Type: Article Affiliation country: United States