MICALIS UMR 1319, AgroParisTech-INRA, FR-78850 Thiverval-Grignon, France.
Curr Opin Biotechnol. 2012 Aug;23(4):585-90. doi: 10.1016/j.copbio.2011.11.008. Epub 2011 Nov 24.
Protein phosphorylation pathways emerge as large and interconnected networks, involving mutually activating protein kinases, kinases acting as network nodes by phosphorylating different substrates, and cross-talk of phosphorylation with other post-translational modifications. The complexity of these networks clearly necessitates the use of systems biology approaches. Phosphoproteomics represents the basis for detection of phosphoproteins and phosphorylation sites, but it must be combined with transcriptomics and interactomics in attempts to build in silico phosphorylation networks. This review highlights the implication of phosphorylation in cellular physiology across all domains of life. It focuses particularly on reports of human disease correlated to defects in phosphorylation networks. Brief outline of developments in quantitative mass spectrometry-based proteomics and bioinformatic tools specific for phosphoproteome studies is provided.
蛋白质磷酸化途径呈现出庞大且相互关联的网络,涉及相互激活的蛋白激酶、作为网络节点通过磷酸化不同底物的激酶,以及磷酸化与其他翻译后修饰的交叉对话。这些网络的复杂性显然需要使用系统生物学方法。磷酸蛋白质组学代表了检测磷酸蛋白质和磷酸化位点的基础,但必须与转录组学和相互作用组学相结合,试图构建计算机模拟的磷酸化网络。本综述强调了磷酸化在所有生命领域的细胞生理学中的意义。它特别侧重于与磷酸化网络缺陷相关的人类疾病的报告。简要概述了基于定量质谱的蛋白质组学和特定于磷酸蛋白质组学研究的生物信息学工具的发展。