Departments of Cellular and Molecular Pharmacology, and Psychiatry and Behavioral Science, San Francisco School of Medicine, and Quantitative Biology Institute, University of California, San Francisco, California
Mol Pharmacol. 2021 May;99(5):392-398. doi: 10.1124/molpharm.120.000178. Epub 2020 Dec 22.
Advances in proteomic methodologies based on quantitative mass spectrometry are now transforming pharmacology and experimental biology more broadly. The present review will discuss several examples based on work in the author's laboratory, which focuses on delineating relationships between G protein-coupled receptor signaling and trafficking in the endocytic network. The examples highlighted correspond to those discussed in a talk presented at the 2019 EB/ASPET meeting, which was organized by Professor Joe Beavo to commemorate his receipt of the Julius Axelrod Award. SIGNIFICANCE STATEMENT: GPCRs are allosteric machines that signal by interacting with other cellular proteins, and this, in turn, is determined by a complex interplay between the biochemical, subcellular localization, and membrane trafficking properties of receptors relative to transducer and regulatory proteins. The present minireview highlights recent advances and challenges in elucidating this dynamic cell biology and toward delineating the cellular basis of drug action at the level of defined GPCR interaction networks using proteomic approaches enabled by quantitative mass spectrometry.
基于定量质谱的蛋白质组学方法的进展正在更广泛地改变药理学和实验生物学。本综述将讨论作者实验室工作的几个例子,这些例子侧重于描绘 G 蛋白偶联受体信号转导与内吞网络中运输之间的关系。突出显示的例子对应于在 2019 年 EB/ASPET 会议上的一次演讲中讨论的例子,该演讲由 Joe Beavo 教授组织,以纪念他获得朱利叶斯·阿克塞尔罗德奖。 意义声明:GPCR 是通过与其他细胞蛋白相互作用来传递信号的变构机器,这反过来又取决于受体相对于转导器和调节蛋白的生化、亚细胞定位和膜运输特性之间的复杂相互作用。本迷你综述强调了阐明这种动态细胞生物学的最新进展和挑战,并朝着使用定量质谱法实现的蛋白质组学方法阐明药物作用的细胞基础的方向发展,该方法通过定义的 GPCR 相互作用网络来实现。