Literature DB >> 23495751

Comparing immobilized kinase inhibitors and covalent ATP probes for proteomic profiling of kinase expression and drug selectivity.

Simone Lemeer1, Corina Zörgiebel, Benjamin Ruprecht, Kristian Kohl, Bernhard Kuster.   

Abstract

Kinases are involved in the regulation of many cellular processes and aberrant kinase signaling has been implicated in human disease. As a consequence, kinases are attractive drug targets. Assessing kinase function and drug selectivity in a more physiological context is challenging and often hampered by the generally low expression level of kinases and the extensive post-translation modification in vivo. Kinase drug selectivity screens by chemical proteomics have gained attention because they allow the profiling of hundreds of kinases against one drug at the same time. Here, we directly compared two such methods, notably, immobilized broad spectrum kinase inhibitors (kinobeads) and active site labeling using desthiobiotin-ATP and -ADP probes. Affinity purification of ∼ 100 kinases by either kinobeads or ATP/ADP probes was readily achieved using 1 mg of cellular protein. Bioinformatic analysis revealed a high degree of complementarity of the two techniques. Kinobeads covered the Tyrosine Kinase family particularly well and ATP probes enriched higher numbers of STE family kinases. A consecutive combination of both enrichment strategies therefore allowed for the coverage of a larger part of the kinome than any one technique alone. While kinobeads are very selective for kinases, the ATP/ADP probes also enriched a large number of other nucleotide binding proteins. Both methods were applied to the selectivity profiling of the small molecular Aurora kinase inhibitor tozasertib in K562 cells. Our data confirmed Aurora A, B, and BCR-ABL as the main targets of tozasertib and identified TNK1, STK2, RPS6KA1, and RPS6KA3 as submicromolar off targets.

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Year:  2013        PMID: 23495751     DOI: 10.1021/pr301073j

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  15 in total

1.  Small Molecule Interactome Mapping by Photo-Affinity Labeling (SIM-PAL) to Identify Binding Sites of Small Molecules on a Proteome-Wide Scale.

Authors:  Hope A Flaxman; David K Miyamoto; Christina M Woo
Journal:  Curr Protoc Chem Biol       Date:  2019-12

2.  Kinobead and Single-Shot LC-MS Profiling Identifies Selective PKD Inhibitors.

Authors:  Martin Golkowski; Rama Subba Rao Vidadala; Chloe K Lombard; Hyong Won Suh; Dustin J Maly; Shao-En Ong
Journal:  J Proteome Res       Date:  2017-02-03       Impact factor: 4.466

3.  Competitive Kinase Enrichment Proteomics Reveals that Abemaciclib Inhibits GSK3β and Activates WNT Signaling.

Authors:  Emily M Cousins; Dennis Goldfarb; Feng Yan; Jose Roques; David Darr; Gary L Johnson; Michael B Major
Journal:  Mol Cancer Res       Date:  2017-11-13       Impact factor: 5.852

Review 4.  Global discovery of protein kinases and other nucleotide-binding proteins by mass spectrometry.

Authors:  Yongsheng Xiao; Yinsheng Wang
Journal:  Mass Spectrom Rev       Date:  2014-11-05       Impact factor: 10.946

5.  A multitargeted probe-based strategy to identify signaling vulnerabilities in cancers.

Authors:  Suman Rao; Guangyan Du; Marc Hafner; Kartik Subramanian; Peter K Sorger; Nathanael S Gray
Journal:  J Biol Chem       Date:  2019-03-11       Impact factor: 5.157

6.  Leveraging Compound Promiscuity to Identify Targetable Cysteines within the Kinome.

Authors:  Suman Rao; Deepak Gurbani; Guangyan Du; Robert A Everley; Christopher M Browne; Apirat Chaikuad; Li Tan; Martin Schröder; Sudershan Gondi; Scott B Ficarro; Taebo Sim; Nam Doo Kim; Matthew J Berberich; Stefan Knapp; Jarrod A Marto; Kenneth D Westover; Peter K Sorger; Nathanael S Gray
Journal:  Cell Chem Biol       Date:  2019-04-11       Impact factor: 8.116

7.  Target Identification in Small Cell Lung Cancer via Integrated Phenotypic Screening and Activity-Based Protein Profiling.

Authors:  Jiannong Li; Bin Fang; Fumi Kinose; Yun Bai; Jae-Young Kim; Yian A Chen; Uwe Rix; John M Koomen; Eric B Haura
Journal:  Mol Cancer Ther       Date:  2016-01-15       Impact factor: 6.261

8.  The target landscape of clinical kinase drugs.

Authors:  Susan Klaeger; Stephanie Heinzlmeir; Mathias Wilhelm; Harald Polzer; Binje Vick; Paul-Albert Koenig; Maria Reinecke; Benjamin Ruprecht; Svenja Petzoldt; Chen Meng; Jana Zecha; Katrin Reiter; Huichao Qiao; Dominic Helm; Heiner Koch; Melanie Schoof; Giulia Canevari; Elena Casale; Stefania Re Depaolini; Annette Feuchtinger; Zhixiang Wu; Tobias Schmidt; Lars Rueckert; Wilhelm Becker; Jan Huenges; Anne-Kathrin Garz; Bjoern-Oliver Gohlke; Daniel Paul Zolg; Gian Kayser; Tonu Vooder; Robert Preissner; Hannes Hahne; Neeme Tõnisson; Karl Kramer; Katharina Götze; Florian Bassermann; Judith Schlegl; Hans-Christian Ehrlich; Stephan Aiche; Axel Walch; Philipp A Greif; Sabine Schneider; Eduard Rudolf Felder; Juergen Ruland; Guillaume Médard; Irmela Jeremias; Karsten Spiekermann; Bernhard Kuster
Journal:  Science       Date:  2017-12-01       Impact factor: 47.728

9.  Deciphering the true antiproliferative target of an MK2 activation inhibitor in glioblastoma.

Authors:  P E Brennan
Journal:  Cell Death Dis       Date:  2016-01-28       Impact factor: 8.469

10.  A bead-based western for high-throughput cellular signal transduction analyses.

Authors:  Fridolin Treindl; Benjamin Ruprecht; Yvonne Beiter; Silke Schultz; Anette Döttinger; Annette Staebler; Thomas O Joos; Simon Kling; Oliver Poetz; Tanja Fehm; Hans Neubauer; Bernhard Kuster; Markus F Templin
Journal:  Nat Commun       Date:  2016-09-23       Impact factor: 14.919

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