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Kinase inhibition profiles as a tool to identify kinases for specific phosphorylation sites

Lookup NU author(s): Nikolaus Watson, Dr Tyrell Cartwright, Dr Conor Lawless, Dr Onur Sen, Professor Jonathan Higgins

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

There are thousands of known cellular phosphorylation sites, but the paucity of ways to identify kinases for particular phosphorylation events remains a major roadblock for understanding kinase signaling. To address this, we here develop a generally applicable method that exploits the large number of kinase inhibitors that have been profiled on near-kinome-wide panels of protein kinases. The inhibition profile for each kinase provides a fingerprint that allows identification of unknown kinases acting on target phosphosites in cell extracts. We validate the method on diverse known kinase-phosphosite pairs, including histone kinases, EGFR autophosphorylation, and Integrin β1 phosphorylation by Src-family kinases. We also use our approach to identify the previously unknown kinases responsible for phosphorylation of INCENP at a site within a commonly phosphorylated motif in mitosis (a non-canonical target of Cyclin B-Cdk1), and of BCL9L at S915 (PKA). We show that the method has clear advantages over in silico and genetic screening.


Publication metadata

Author(s): Watson NA, Cartwright TN, Lawless C, Cámara-Donoso M, Sen O, Sako K, Hirota T, Kimura H, Higgins JMG

Publication type: Article

Publication status: Published

Journal: Nature Communications

Year: 2020

Volume: 11

Online publication date: 03/04/2020

Acceptance date: 06/03/2020

Date deposited: 20/04/2020

ISSN (electronic): 2041-1723

Publisher: Nature

URL: https://doi.org/10.1038/s41467-020-15428-0

DOI: 10.1038/s41467-020-15428-0


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