Macek Boris, Mann Matthias, Olsen Jesper V
Max Planck Institute for Biochemistry, Martinsried, Germany.
Annu Rev Pharmacol Toxicol. 2009;49:199-221. doi: 10.1146/annurev.pharmtox.011008.145606.
Protein phosphorylation is a key posttranslational modification, which reversibly regulates almost all processes in the living cell. Deregulated signaling is a hallmark of cancer and other diseases, and protein kinases are prominent drug targets. Phosphorylation events are commonly probed in a targeted manner by phosphorylation-specific antibodies. In contrast, advances in proteomics technology, including phosphopeptide enrichment, high-accuracy mass spectrometry, and associated bioinformatics now make it possible to analyze entire phosphoproteomes. Quantitative methods can assess the relative change in phosphorylation for several thousand sites in a single experiment. Here we review enrichment strategies and methods for mass spectrometric fragmentation and analysis of phosphopeptides. We also describe different quantitative methods and their application to problems in cell signaling and drug target discovery. Emerging phosphoproteomics technologies are becoming more comprehensive, robust, and generically applicable to a wide range of questions, including areas outside traditional eukaryotic cell signaling such as Ser/Thr/Tyr signaling in bacteria.
蛋白质磷酸化是一种关键的翻译后修饰,它可逆地调节活细胞中的几乎所有过程。信号失调是癌症和其他疾病的一个标志,蛋白激酶是重要的药物靶点。磷酸化事件通常通过磷酸化特异性抗体进行靶向检测。相比之下,蛋白质组学技术的进步,包括磷酸肽富集、高精度质谱和相关生物信息学,现在使得分析整个磷酸化蛋白质组成为可能。定量方法可以在单个实验中评估数千个位点磷酸化的相对变化。在这里,我们综述了磷酸肽的富集策略以及质谱裂解和分析方法。我们还描述了不同的定量方法及其在细胞信号传导和药物靶点发现问题中的应用。新兴的磷酸化蛋白质组学技术正变得更加全面、稳健,并且普遍适用于广泛的问题,包括传统真核细胞信号传导之外的领域,如细菌中的丝氨酸/苏氨酸/酪氨酸信号传导。