Molecular & Cellular ProteomicsCancer BiologyPeer-reviewed journal article
CellEKT: A robust chemical proteomics workflow to profile cellular target engagement of kinase inhibitors
Joel RüeggeriD, Berend GagesteiniD, Antonius P. A. JansseniD, Alexandra ValeanuiD, Alger Lazo Mori, Marielle van der PeetiD, Michael S. BoutkaniD, Bogdan I. FloreaiD, Alex A. HennemaniD, Remo Hochstrasser, Haiyan WangiD, Paul WestwoodiD, Andreas ToppiD, Patricia M. Gomez BarilaiD, Jan Paul MedemaiD, Connie R. JiméneziD, Bigna WörsdörferiD, Stephan Kirchner, Jitao David ZhangiD, Uwe GretheriD, Arne Christian RuferiD, Mario van der SteltiD
Abstract
The human genome encodes 518 protein kinases that are pivotal for drug discovery in various therapeutic areas such as cancer and autoimmune disorders. The majority of kinase inhibitors target the conserved ATP-binding pocket, making it difficult to develop selective inhibitors. To characterize and prioritize kinase-inhibiting drug candidates, efficient methods are desired to determine target engagement across the cellular kinome. In this study, we present CellEKT (Cellular Endogenous Kinase Targeting), an optimized and robust chemical proteomics platform for investigating cellular target engagement of endogenously expressed kinases using the sulfonyl fluoride-based probe XO44 and two new probes ALX005 and ALX011. The optimized workflow enabled the determination of the kinome interaction landscape of covalent and non-covalent drugs across over 300 kinases, expressed as half maximum inhibitory concentration (IC50), which were validated using distinct platforms like phosphoproteomics and NanoBRET. With CellEKT, target engagement profiles were linked to their substrate space. CellEKT has the ability to decrypt drug actions and to guide the discovery and development of drugs. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=188 SRC="FIGDIR/small/616061v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@5dd891org.highwire.dtl.DTLVardef@1353379org.highwire.dtl.DTLVardef@1c67382org.highwire.dtl.DTLVardef@1c964eb_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: proteomics
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 10
- FWCI
- 2.48
- Field percentile
- top 10%
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