Chemical genetic transcriptional fingerprinting for selectivity profiling of kinase inhibitors

被引:4
作者
Jiang, Shan
DiPaolo, Julie
Currie, Kevin
Alderucci, Scott
Ramamurthy, Arun
Peppers, Johnny
Qian, Xiaobing
Qian, Dapeng
Awad, Tarif
Velleca, Mark
Whitney, J. Andrew
机构
[1] CGI Pharmaceut Inc, Branford, CT 06405 USA
[2] Affymetrix Inc, Santa Clara, CA USA
关键词
D O I
10.1089/adt.2006.032
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The importance of protein kinases as a major class of drug targets across multiple diseases has generated a critical need for technologies that enable the identification of potent and selective kinase inhibitors. Bruton's tyrosine kinase (Btk) is a compelling drug target in multiple therapeutic areas, including systemic lupus erythematosus, asthma, rheumatoid arthritis, and B cell malignancies. We have combined potent, selective kinase inhibition through chemical genetics with gene expression profiling to identify a "fingerprint" of transcriptional changes associated with selective Btk kinase inhibition. The Btk transcriptional fingerprint shows remarkable relevance for Btk's biological roles and was used for functional selectivity profiling of two kinase inhibitor compounds. The fingerprint was able to rank the compounds by relative selectivity for Btk, and revealed broader off-target effects than observed in a broad panel of biochemical kinase cross screens. In addition to being useful for functional selectivity profiling, the fingerprint genes are themselves potential preclinical and clinical biomarkers for developing Btk-directed therapies.
引用
收藏
页码:49 / 64
页数:16
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