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通过交联质谱法对蛋白质复合物进行蛋白质组全面分析。

Proteome-wide profiling of protein assemblies by cross-linking mass spectrometry.

机构信息

Biomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, the Netherlands.

Netherlands Proteomics Center, Utrecht, the Netherlands.

出版信息

Nat Methods. 2015 Dec;12(12):1179-84. doi: 10.1038/nmeth.3603. Epub 2015 Sep 28.

Abstract

We describe an integrated workflow that robustly identifies cross-links from endogenous protein complexes in human cellular lysates. Our approach is based on the application of mass spectrometry (MS)-cleavable cross-linkers, sequential collision-induced dissociation (CID)-tandem MS (MS/MS) and electron-transfer dissociation (ETD)-MS/MS acquisitions, and a dedicated search engine, XlinkX, which allows rapid cross-link identification against a complete human proteome database. This approach allowed us to detect 2,179 unique cross-links (1,665 intraprotein cross-links at a 5% false discovery rate (FDR) and 514 interprotein cross-links at 1% FDR) in HeLa cell lysates. We validated the confidence of our cross-linking results by using a target-decoy strategy and mapping the observed cross-link distances onto existing high-resolution structures. Our data provided new structural information about many protein assemblies and captured dynamic interactions of the ribosome in contact with different elongation factors.

摘要

我们描述了一个集成的工作流程,该流程可以从人细胞裂解物中的内源性蛋白质复合物中稳健地鉴定交联。我们的方法基于质谱(MS)可裂解交联剂、顺序碰撞诱导解离(CID)-串联 MS(MS/MS)和电子转移解离(ETD)-MS/MS 采集的应用,以及一个专用搜索引擎 XlinkX,该搜索引擎可以快速针对完整的人类蛋白质组数据库进行交联鉴定。该方法使我们能够在 HeLa 细胞裂解物中检测到 2179 个独特的交联(5%假发现率(FDR)下的 1665 个内蛋白交联和 1% FDR 下的 514 个间蛋白交联)。我们通过使用目标诱饵策略并将观察到的交联距离映射到现有高分辨率结构上来验证交联结果的置信度。我们的数据提供了许多蛋白质组装的新结构信息,并捕获了核糖体与不同伸长因子接触时的动态相互作用。

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