Personalized phosphoproteomics identifies functional signaling

Elise J. Needham, Janne R. Hingst, Benjamin L. Parker, Kaitlin R. Morrison, Guang Yang, Johan Onslev, Jonas M. Kristensen, Kurt Højlund, Naomi X.Y. Ling, Jonathan S. Oakhill, Erik A. Richter, Bente Kiens, Janni Petersen, Christian Pehmøller, David E. James, Jørgen F.P. Wojtaszewski, Sean J. Humphrey

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)


Protein phosphorylation dynamically integrates environmental and cellular information to control biological processes. Identifying functional phosphorylation amongst the thousands of phosphosites regulated by a perturbation at a global scale is a major challenge. Here we introduce ‘personalized phosphoproteomics’, a combination of experimental and computational analyses to link signaling with biological function by utilizing human phenotypic variance. We measure individual subject phosphoproteome responses to interventions with corresponding phenotypes measured in parallel. Applying this approach to investigate how exercise potentiates insulin signaling in human skeletal muscle, we identify both known and previously unidentified phosphosites on proteins involved in glucose metabolism. This includes a cooperative relationship between mTOR and AMPK whereby the former directly phosphorylates the latter on S377, for which we find a role in metabolic regulation. These results establish personalized phosphoproteomics as a general approach for investigating the signal transduction underlying complex biology.

Original languageEnglish
Pages (from-to)576-584
Number of pages9
JournalNature Biotechnology
Issue number4
Publication statusPublished - Apr 2022


  • Protein phosphorylation
  • personalized phosphoproteomics
  • insulin signaling
  • exercise


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