Proteomics, H. Lee Moffitt Cancer Center & Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA.
Biochem Pharmacol. 2010 Sep 1;80(5):739-47. doi: 10.1016/j.bcp.2010.03.027. Epub 2010 Mar 31.
Phosphorylation acts as a molecular switch for many regulatory events in signaling pathways that drive cell division, proliferation, and apoptosis. Because of the critical nature of these protein post-translational modifications in cancer, drug development programs often focus on inhibitors for kinases and phosphatases, which control protein phosphorylation. Numerous kinase inhibitors have entered clinical use, but prediction of their efficacy and a molecular basis for patient response remain uncertain. Chemical proteomics, the combination of drug affinity chromatography with mass spectrometry, identifies potential target proteins that bind to the drugs. Phosphorylation profiling can complement chemical proteomics by cataloging modifications in the target kinases and their downstream substrates using phosphopeptide enrichment and quantitative mass spectrometry. These experiments shed light on the mechanism of disease development and illuminate candidate biomarkers to guide personalized therapeutic strategies. In this review, commonly applied technologies and workflows are discussed to illustrate the role of proteomics in examining tumor biology and therapeutic intervention using kinase inhibitors.
磷酸化作用是信号通路中许多调节事件的分子开关,这些信号通路驱动细胞分裂、增殖和凋亡。由于这些蛋白质翻译后修饰在癌症中的关键性质,药物开发计划通常侧重于控制蛋白质磷酸化的激酶和磷酸酶抑制剂。许多激酶抑制剂已进入临床应用,但它们的疗效预测和患者反应的分子基础仍然不确定。化学蛋白质组学是将药物亲和层析与质谱相结合,鉴定与药物结合的潜在靶蛋白。磷酸化谱分析可以通过使用磷酸肽富集和定量质谱对靶激酶及其下游底物的修饰进行编目,从而补充化学蛋白质组学。这些实验揭示了疾病发展的机制,并阐明了候选生物标志物,以指导个性化的治疗策略。在这篇综述中,讨论了常用的技术和工作流程,以说明蛋白质组学在使用激酶抑制剂检查肿瘤生物学和治疗干预中的作用。