A global atlas of substrate specificities for the human serine/threonine kinome
Jared L. Johnson,
Tomer M Yaron,
Emily M. Huntsman,
Daniel M. Cizin,
Benjamin M Cohen,
Jaylissa Torres Robles,
Bert van de Kooij,
Anne E. van Vlimmeren,
Norbert F. Käufer,
Maxim V. Dorovkov,
Alexey G Ryazanov,
Edward R Kastenhuber,
Marcus D. Goncalves,
Dylan J. Taatjes,
Peter V Hornbeck,
Benjamin E Turk,
Michael B. Yaffe,
Lewis C Cantley
Posted 22 May 2022
bioRxiv DOI: 10.1101/2022.05.22.492882
Posted 22 May 2022
Protein phosphorylation is one of the most widespread post-translational modifications in biology. With the advent of mass spectrometry-based phosphoproteomics, more than 200,000 sites of serine and threonine phosphorylation have been reported, of which several thousand have been associated with human diseases and biological processes. For the vast majority of phosphorylation events, it is not yet known which of the more than 300 protein Ser/Thr kinases encoded in the human genome is responsible. Here, we utilize synthetic peptide libraries to profile the substrate sequence specificity of nearly every functional human Ser/Thr kinase. Viewed in its entirety, the substrate specificity of the kinome was substantially more diverse than expected and was driven extensively by negative selectivity. Our kinome-wide dataset was used to computationally annotate and identify the most likely protein kinases for every reported phosphorylation site in the human Ser/Thr phosphoproteome. For the small minority of phosphosites where the protein kinases involved have been previously identified, our predictions were in excellent agreement. When this approach was applied to examine the signaling response of tissues and cell lines to hormones, growth factors, targeted inhibitors, and environmental or genetic perturbations, it revealed unexpected insights into pathway complexity and compensation. Overall, these studies reveal the full extent of substrate specificity of the human Ser/Thr kinome, illuminate cellular signaling responses, and provide a rich resource to link unannotated phosphorylation events to biological pathways.
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