Suppr超能文献

效应蛋白 1(Bep1)选择性 AMP 化 Rac 亚家族 GTPases 的结构基础。

Structural basis for selective AMPylation of Rac-subfamily GTPases by effector protein 1 (Bep1).

机构信息

Biozentrum, University of Basel, 4056 Basel, Switzerland.

Biozentrum, University of Basel, 4056 Basel, Switzerland

出版信息

Proc Natl Acad Sci U S A. 2021 Mar 23;118(12). doi: 10.1073/pnas.2023245118.

Abstract

Small GTPases of the Ras-homology (Rho) family are conserved molecular switches that control fundamental cellular activities in eukaryotic cells. As such, they are targeted by numerous bacterial toxins and effector proteins, which have been intensively investigated regarding their biochemical activities and discrete target spectra; however, the molecular mechanism of target selectivity has remained largely elusive. Here we report a bacterial effector protein that selectively targets members of the Rac subfamily in the Rho family of small GTPases but none in the closely related Cdc42 or RhoA subfamilies. This exquisite target selectivity of the FIC domain AMP-transferase Bep1 from is based on electrostatic interactions with a subfamily-specific pair of residues in the nucleotide-binding G4 motif and the Rho insert helix. Residue substitutions at the identified positions in Cdc42 enable modification by Bep1, while corresponding Cdc42-like substitutions in Rac1 greatly diminish modification. Our study establishes a structural understanding of target selectivity toward Rac-subfamily GTPases and provides a highly selective tool for their functional analysis.

摘要

小 GTPases 家族的 Ras 同源(Rho)是保守的分子开关,控制真核细胞的基本细胞活动。因此,它们是许多细菌毒素和效应蛋白的靶标,这些毒素和效应蛋白的生化活性和离散靶标谱已得到深入研究;然而,靶标选择性的分子机制在很大程度上仍然难以捉摸。在这里,我们报告了一种细菌效应蛋白,它选择性地靶向 Rho 家族小 GTPases 中的 Rac 亚家族成员,而不靶向密切相关的 Cdc42 或 RhoA 亚家族成员。这种来自 的 FIC 结构域 AMP 转移酶 Bep1 的精细靶标选择性基于与核苷酸结合 G4 基序和 Rho 插入螺旋中特定于亚家族的一对残基的静电相互作用。在 Cdc42 中鉴定的位置的残基取代使 Bep1 能够进行修饰,而 Rac1 中的相应 Cdc42 样取代则大大减少了修饰。我们的研究建立了对 Rac 亚家族 GTPases 靶标选择性的结构理解,并为其功能分析提供了一种高度选择性的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ac7/8000347/d4d1ac743bd7/pnas.2023245118fig01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验