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哺乳动物蛋白质磷酸化的蛋白质组水平结构分析。

Structural analysis of mammalian protein phosphorylation at a proteome level.

作者信息

Kamacioglu Altug, Tuncbag Nurcan, Ozlu Nurhan

机构信息

Department of Molecular Biology and Genetics, Koc University, Istanbul, Turkey.

Chemical and Biological Engineering, College of Engineering, Koc University, 34450 Istanbul, Turkey; School of Medicine, Koc University, 34450 Istanbul, Turkey; Koc University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey.

出版信息

Structure. 2021 Nov 4;29(11):1219-1229.e3. doi: 10.1016/j.str.2021.06.008. Epub 2021 Jun 29.

DOI:10.1016/j.str.2021.06.008
PMID:34192515
Abstract

Phosphorylation is an essential post-translational modification for almost all cellular processes. Several global phosphoproteomics analyses have revealed phosphorylation profiles under different conditions. Beyond identification of phospho-sites, protein structures add another layer of information about their functionality. In this study, we systematically characterize phospho-sites based on their 3D locations in the protein and establish a location map for phospho-sites. More than 250,000 phospho-sites have been analyzed, of which 8,686 sites match at least one structure and are stratified based on their respective 3D positions. Core phospho-sites possess two distinct groups based on their dynamicity. Dynamic core phosphorylations are significantly more functional compared with static ones. The dynamic core and the interface phospho-sites are the most functional among all 3D phosphorylation groups. Our analysis provides global characterization and stratification of phospho-sites from a structural perspective that can be utilized for predicting functional relevance and filtering out false positives in phosphoproteomic studies.

摘要

磷酸化是几乎所有细胞过程中必不可少的翻译后修饰。多项全局磷酸蛋白质组学分析揭示了不同条件下的磷酸化谱。除了磷酸化位点的鉴定,蛋白质结构还为其功能增添了另一层信息。在本研究中,我们基于磷酸化位点在蛋白质中的三维位置对其进行系统表征,并建立了磷酸化位点的位置图谱。我们分析了超过25万个磷酸化位点,其中8686个位点与至少一种结构匹配,并根据其各自的三维位置进行了分层。核心磷酸化位点根据其动态性可分为两个不同的组。与静态磷酸化相比,动态核心磷酸化具有更显著的功能。在所有三维磷酸化组中,动态核心和界面磷酸化位点功能最为显著。我们的分析从结构角度对磷酸化位点进行了全局表征和分层,可用于预测功能相关性并在磷酸蛋白质组学研究中筛选假阳性结果。

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