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关于 arrestins 的结构与功能的生化见解。

Biochemical insights into structure and function of arrestins.

机构信息

Institute of Biochemistry, Faculty of Life Sciences, University of Leipzig, Germany.

出版信息

FEBS J. 2021 Apr;288(8):2529-2549. doi: 10.1111/febs.15811. Epub 2021 Mar 23.

Abstract

Arrestins (arr) are multifunctional cytosolic adaptors that bind to active and phosphorylated G protein-coupled receptors (GPCRs) via a highly versatile interface. Arrestins stop G protein signaling and trigger other signaling pathways. Recently, 3D structures of arr-GPCR complexes have been solved, which provide a bulk of structural information for understanding the mechanism of arr recruitment and activation. However, many questions about the functional consequences of structural details and the dynamics of the arr-GPCR interaction remain open. A wealth of information about key determinants for the arr-GPCR interaction and their functional relevance, and dynamic insights into the process of arr binding and the functional outcomes of different binding modes have been provided by a series of biochemical methods which we review here. Importantly, most of these methods provide information from the live cell, which is a necessary validation and complement for structural data. With the main focus on the most recent research, we will highlight major findings about arr structure, function, and dynamics derived from mutagenesis studies, cross-linking studies, conformational probes, and sensors, and we summarize available systems to detect arr recruitment. Furthermore, we discuss recent findings and directions of in silico investigations in arr-GPCR complexes.

摘要

arrestins (arr) 是多功能胞质衔接蛋白,通过高度灵活的界面与活性和磷酸化的 G 蛋白偶联受体 (GPCR) 结合。 arrestins 停止 G 蛋白信号转导并触发其他信号通路。最近,已解决了 arr-GPCR 复合物的 3D 结构,为理解 arr 募集和激活的机制提供了大量结构信息。然而,关于结构细节的功能后果和 arr-GPCR 相互作用的动力学的许多问题仍然存在。一系列生化方法提供了大量有关 arr-GPCR 相互作用的关键决定因素及其功能相关性的信息,以及有关 arr 结合过程和不同结合模式的功能结果的动态见解,我们在此对其进行了回顾。重要的是,这些方法中的大多数都提供了来自活细胞的信息,这是对结构数据的必要验证和补充。本文主要关注最新的研究,将重点介绍关于 arr 结构、功能和动力学的主要发现,这些发现源自突变研究、交联研究、构象探针和传感器,并总结了可用的系统来检测 arr 的募集。此外,我们还讨论了 arr-GPCR 复合物中计算研究的最新发现和方向。

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