Kabbani Nadine
Institut Jacques Monod, CNRS/Universités Paris 6, Paris, France.
Proteomics. 2008 Oct;8(19):4146-55. doi: 10.1002/pmic.200800139.
Receptors represent an abundant class of integral membrane proteins that transmit information on various types of signals within the cell. Assemblages of receptors and their interacting proteins (receptor complexes) have emerged as important units of signal transduction for various types of receptors including G protein coupled, ligand-gated ion channel, and receptor tyrosine kinase. This review aims to summarize the major approaches and findings of receptor proteomics. Isolation and characterization of receptor complexes from cells has become common using the methods of immunoaffinity-, ligand-, and tag-based chromatography followed by MS for the analysis of enriched receptor preparations. In addition, tools such as stable isotope labeling have contributed to understanding quantitative properties and PTMs to receptors and their interacting proteins. As data from studies on receptor-protein interactions considerably expands, complementary approaches such as bioinformatics and computational biology will undoubtedly play a significant role in defining cellular and network functions for various types of receptor complexes. Findings from receptor proteomics may also shed light on the mechanism of action for pharmacological drugs and can be of value in understanding molecular pathologies of disease states.
受体是一类丰富的整合膜蛋白,可在细胞内传递各种类型信号的信息。受体及其相互作用蛋白的组合(受体复合物)已成为包括G蛋白偶联受体、配体门控离子通道受体和受体酪氨酸激酶在内的各种类型受体信号转导的重要单元。本综述旨在总结受体蛋白质组学的主要方法和研究结果。利用基于免疫亲和、配体和标签的色谱方法,随后通过质谱分析富集的受体制剂,从细胞中分离和鉴定受体复合物已变得很常见。此外,诸如稳定同位素标记等工具有助于了解受体及其相互作用蛋白的定量特性和翻译后修饰。随着受体 - 蛋白质相互作用研究数据的大幅扩展,生物信息学和计算生物学等互补方法无疑将在定义各种类型受体复合物的细胞和网络功能方面发挥重要作用。受体蛋白质组学的研究结果也可能揭示药理药物的作用机制,并有助于理解疾病状态的分子病理学。