Frontiers in Molecular Biosciences (Jun 2022)

Chemical Genetic Validation of CSNK2 Substrates Using an Inhibitor-Resistant Mutant in Combination with Triple SILAC Quantitative Phosphoproteomics

  • Laszlo Gyenis,
  • Daniel Menyhart,
  • Edward S. Cruise,
  • Kristina Jurcic,
  • Scott E. Roffey,
  • Darren B. Chai,
  • Flaviu Trifoi,
  • Sam R. Fess,
  • Paul J. Desormeaux,
  • Teresa Núñez de Villavicencio Díaz,
  • Adam J. Rabalski,
  • Stephanie A. Zukowski,
  • Jacob P. Turowec,
  • Paula Pittock,
  • Gilles Lajoie,
  • David W. Litchfield,
  • David W. Litchfield

DOI
https://doi.org/10.3389/fmolb.2022.909711
Journal volume & issue
Vol. 9

Abstract

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Casein Kinase 2 (CSNK2) is an extremely pleiotropic, ubiquitously expressed protein kinase involved in the regulation of numerous key biological processes. Mapping the CSNK2-dependent phosphoproteome is necessary for better characterization of its fundamental role in cellular signalling. While ATP-competitive inhibitors have enabled the identification of many putative kinase substrates, compounds targeting the highly conserved ATP-binding pocket often exhibit off-target effects limiting their utility for definitive kinase-substrate assignment. To overcome this limitation, we devised a strategy combining chemical genetics and quantitative phosphoproteomics to identify and validate CSNK2 substrates. We engineered U2OS cells expressing exogenous wild type CSNK2A1 (WT) or a triple mutant (TM, V66A/H160D/I174A) with substitutions at residues important for inhibitor binding. These cells were treated with CX-4945, a clinical-stage inhibitor of CSNK2, and analyzed using large-scale triple SILAC (Stable Isotope Labelling of Amino Acids in Cell Culture) quantitative phosphoproteomics. In contrast to wild-type CSNK2A1, CSNK2A1-TM retained activity in the presence of CX-4945 enabling identification and validation of several CSNK2 substrates on the basis of their increased phosphorylation in cells expressing CSNK2A1-TM. Based on high conservation within the kinase family, we expect that this strategy can be broadly adapted for identification of other kinase-substrate relationships.

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