Abstract
Identifying cellular targets of bioactive small molecules from large-scale screening campaigns can be a significant bottleneck in developing novel therapeutics. Our rapid small-molecule target profiling protocol combines affinity enrichment and SILAC for proteomic identification of small molecule-protein interactions. Selective interactions are easily discernable from nonspecific protein binding by quantitative ratios. Using kinase inhibitors as an example, we provide an optimized protocol featuring on-bead protein digestion and single nano-flow liquid chromatographic-mass spectrometric (LC-MS) analyses, consequently increasing analytical throughput and sensitivity over gel-based sample preparation methods for rapid profiling of kinase inhibitor targets.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Schenone M, Dancik V, Wagner BK, Clemons PA (2013) Target identification and mechanism of action in chemical biology and drug discovery. Nat Chem Biol 9:232–240
Kawatani M, Osada H (2014) Affinity-based target identification for bioactive small molecules. Med Chem Commun 5:277–287
Cuatrecasas P, Wilchek M, Anfinsen CB (1968) Selective enzyme purification by affinity chromatography. Proc Natl Acad Sci U S A 61:636–643
Harding MW, Galat A, Uehling DE, Schreiber SL (1989) A receptor for the immunosuppressant FK506 is a cis-trans peptidyl-prolyl isomerase. Nature 341:758–760
Rix U, Superti-Furga G (2009) Target profiling of small molecules by chemical proteomics. Nat Chem Biol 5:616–624
Ong SE, Blagoev B, Kratchmarova I, Kristensen DB, Steen H, Pandey A, Mann M (2002) Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Mol Cell Proteomics 1:376–386
Ross PL, Huang YN, Marchese JN, Williamson B, Parker K, Hattan S, Khainovski N, Pillai S, Dey S, Daniels S, Purkayastha S, Juhasz P, Martin S, Bartlet-Jones M, He F, Jacobson A, Pappin DJ (2004) Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol Cell Proteomics 3:1154–1169
Thompson A, Schafer J, Kuhn K, Kienle S, Schwarz J, Schmidt G, Neumann T, Johnstone R, Mohammed AK, Hamon C (2003) Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS. Anal Chem 75:1895–1904
Hsu JL, Huang SY, Chow NH, Chen SH (2003) Stable-isotope dimethyl labeling for quantitative proteomics. Anal Chem 75:6843–6852
Bantscheff M, Eberhard D, Abraham Y, Bastuck S, Boesche M, Hobson S, Mathieson T, Perrin J, Raida M, Rau C, Reader V, Sweetman G, Bauer A, Bouwmeester T, Hopf C, Kruse U, Neubauer G, Ramsden N, Rick J, Kuster B, Drewes G (2007) Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors. Nat Biotechnol 25:1035–1044
Ong SE, Schenone M, Margolin AA, Li X, Do K, Doud MK, Mani DR, Kuai L, Wang X, Wood JL, Tolliday NJ, Koehler AN, Marcaurelle LA, Golub TR, Gould RJ, Schreiber SL, Carr SA (2009) Identifying the proteins to which small-molecule probes and drugs bind in cells. Proc Natl Acad Sci U S A 106:4617–4622
Golkowski M, Brigham JL, Perera GK, Romano GE, Maly DJ, Ong SE (2014) Rapid profiling of protein kinase inhibitors by quantitative proteomics. Med Chem Comm 5:363–369
Rappsilber J, Mann M, Ishihama Y (2007) Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat Protoc 2:1896–1906
Lau HT, Suh HW, Golkowski M, Ong SE (2014) Comparing SILAC- and stable isotope dimethyl-labeling approaches for quantitative proteomics. J Proteome Res 13:4164–4174
Wissing J, Jansch L, Nimtz M, Dieterich G, Hornberger R, Keri G, Wehland J, Daub H (2007) Proteomics analysis of protein kinases by target class-selective prefractionation and tandem mass spectrometry. Mol Cell Proteomics 6:537–547
Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, Mann M (2011) Andromeda: a peptide search engine integrated into the MaxQuant environment. J Proteome Res 10:1794–1805
Shibata M, Yanaga K, Morizane T, Yanagawa T, Hirakawa M, Ueno Y, Esquivel CO, Mitamura K (2003) A patient with hepatitis C-related cirrhosis and hepatocellular carcinoma who was cured with an orthotopic liver transplantation and interferon therapy. J Gastroenterol 38:598–602
Kuramochi K, Haruyama T, Takeuchi R, Sunoki T, Watanabe M, Oshige M, Kobayashi S, Sakaguchi K, Sugawara F (2005) Affinity capture of a mammalian DNA polymerase beta by inhibitors immobilized to resins used in solid-phase organic synthesis. Bioconjug Chem 16:97–104
Zhang L, Holmes IP, Hochgrafe F, Walker SR, Ali NA, Humphrey ES, Wu J, de Silva M, Kersten WJ, Connor T, Falk H, Allan L, Street IP, Bentley JD, Pilling PA, Monahan BJ, Peat TS, Daly RJ (2013) Characterization of the novel broad-spectrum kinase inhibitor CTx-0294885 as an affinity reagent for mass spectrometry-based kinome profiling. J Proteome Res 12:3104–3116
Acknowledgments
We gratefully acknowledge the input and helpful discussions from members of the Ong Laboratory. Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number R21CA177402. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media LLC
About this protocol
Cite this protocol
Golkowski, M., Maly, D.J., Ong, SE. (2017). Proteomic Profiling of Protein Kinase Inhibitor Targets by Mass Spectrometry. In: Tan, AC., Huang, P. (eds) Kinase Signaling Networks. Methods in Molecular Biology, vol 1636. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7154-1_8
Download citation
DOI: https://doi.org/10.1007/978-1-4939-7154-1_8
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-7152-7
Online ISBN: 978-1-4939-7154-1
eBook Packages: Springer Protocols