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一种用于癌细胞和组织全激酶组分析的靶向定量蛋白质组学策略。

A targeted quantitative proteomics strategy for global kinome profiling of cancer cells and tissues.

作者信息

Xiao Yongsheng, Guo Lei, Wang Yinsheng

机构信息

Department of Chemistry and.

出版信息

Mol Cell Proteomics. 2014 Apr;13(4):1065-75. doi: 10.1074/mcp.M113.036905. Epub 2014 Feb 11.

Abstract

Kinases are among the most intensively pursued enzyme superfamilies as targets for anti-cancer drugs. Large data sets on inhibitor potency and selectivity for more than 400 human kinases became available recently, offering the opportunity to design rationally novel kinase-based anti-cancer therapies. However, the expression levels and activities of kinases are highly heterogeneous among different types of cancer and even among different stages of the same cancer. The lack of effective strategy for profiling the global kinome hampers the development of kinase-targeted cancer chemotherapy. Here, we introduced a novel global kinome profiling method, based on our recently developed isotope-coded ATP-affinity probe and a targeted proteomic method using multiple-reaction monitoring (MRM), for assessing simultaneously the expression of more than 300 kinases in human cells and tissues. This MRM-based assay displayed much better sensitivity, reproducibility, and accuracy than the discovery-based shotgun proteomic method. Approximately 250 kinases could be routinely detected in the lysate of a single cell line. Additionally, the incorporation of iRT into MRM kinome library rendered our MRM kinome assay easily transferrable across different instrument platforms and laboratories. We further employed this approach for profiling kinase expression in two melanoma cell lines, which revealed substantial kinome reprogramming during cancer progression and demonstrated an excellent correlation between the anti-proliferative effects of kinase inhibitors and the expression levels of their target kinases. Therefore, this facile and accurate kinome profiling assay, together with the kinome-inhibitor interaction map, could provide invaluable knowledge to predict the effectiveness of kinase inhibitor drugs and offer the opportunity for individualized cancer chemotherapy.

摘要

激酶是作为抗癌药物靶点而被研究最深入的酶超家族之一。最近有了关于400多种人类激酶的抑制剂效力和选择性的大数据集,为合理设计基于激酶的新型抗癌疗法提供了机会。然而,激酶的表达水平和活性在不同类型的癌症之间,甚至在同一癌症的不同阶段之间都高度异质。缺乏有效的全激酶组分析策略阻碍了激酶靶向癌症化疗的发展。在此,我们基于最近开发的同位素编码ATP亲和探针和使用多反应监测(MRM)的靶向蛋白质组学方法,引入了一种新型的全激酶组分析方法,用于同时评估人类细胞和组织中300多种激酶的表达。这种基于MRM的检测方法比基于发现的鸟枪法蛋白质组学方法具有更好的灵敏度、重现性和准确性。在单个细胞系的裂解物中通常可以检测到大约250种激酶。此外,将iRT纳入MRM激酶组文库使我们的MRM激酶组检测能够轻松地在不同仪器平台和实验室之间转移。我们进一步采用这种方法对两种黑色素瘤细胞系中的激酶表达进行分析,结果揭示了癌症进展过程中激酶组的大量重编程,并证明了激酶抑制剂的抗增殖作用与其靶激酶表达水平之间具有极好的相关性。因此,这种简便而准确的激酶组分析检测方法,连同激酶组-抑制剂相互作用图谱,可为预测激酶抑制剂药物的有效性提供宝贵的知识,并为个性化癌症化疗提供机会。

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