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通过位点特异性蛋白质周转谱分析将翻译后修饰与蛋白质周转联系起来。

Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling.

机构信息

Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.

German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Nat Commun. 2022 Jan 10;13(1):165. doi: 10.1038/s41467-021-27639-0.

Abstract

Proteome-wide measurements of protein turnover have largely ignored the impact of post-translational modifications (PTMs). To address this gap, we employ stable isotope labeling and mass spectrometry to measure the turnover of >120,000 peptidoforms including >33,000 phosphorylated, acetylated, and ubiquitinated peptides for >9,000 native proteins. This site-resolved protein turnover (SPOT) profiling discloses global and site-specific differences in turnover associated with the presence or absence of PTMs. While causal relationships may not always be immediately apparent, we speculate that PTMs with diverging turnover may distinguish states of differential protein stability, structure, localization, enzymatic activity, or protein-protein interactions. We show examples of how the turnover data may give insights into unknown functions of PTMs and provide a freely accessible online tool that allows interrogation and visualisation of all turnover data. The SPOT methodology is applicable to many cell types and modifications, offering the potential to prioritize PTMs for future functional investigations.

摘要

蛋白质组范围内的蛋白质周转测量在很大程度上忽略了翻译后修饰(PTMs)的影响。为了解决这一差距,我们采用稳定同位素标记和质谱法来测量超过 120000 种肽段的周转,其中包括 33000 多种磷酸化、乙酰化和泛素化肽段,以及超过 9000 种天然蛋白质。这种基于位点的蛋白质周转(SPOT)分析揭示了与 PTM 存在或不存在相关的全局和位点特异性的周转差异。虽然因果关系并不总是立即可见,但我们推测,具有不同周转率的 PTM 可能区分蛋白质稳定性、结构、定位、酶活性或蛋白质-蛋白质相互作用的不同状态。我们展示了一些例子,说明周转数据如何深入了解 PTM 的未知功能,并提供了一个免费访问的在线工具,允许查询和可视化所有的周转数据。SPOT 方法适用于许多细胞类型和修饰,为未来的功能研究提供了优先考虑 PTM 的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81e5/8748498/114dd0813e0d/41467_2021_27639_Fig1_HTML.jpg

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