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一种通过定量交联质谱法和数据非依赖采集来研究蛋白质结构动力学的方案。

A protocol for studying structural dynamics of proteins by quantitative crosslinking mass spectrometry and data-independent acquisition.

作者信息

Müller Fränze, Rappsilber Juri

机构信息

Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany.

Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany; Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, Scotland, United Kingdom.

出版信息

J Proteomics. 2020 Apr 30;218:103721. doi: 10.1016/j.jprot.2020.103721. Epub 2020 Feb 25.

Abstract

Quantitative crosslinking mass spectrometry (QCLMS) reveals structural details of protein conformations in solution. QCLMS can benefit from data-independent acquisition (DIA), which maximises accuracy, reproducibility and throughput of the approach. This DIA-QCLMS protocol comprises of three main sections: sample preparation, spectral library generation and quantitation. The DIA-QCLMS workflow supports isotope-labelling as well as label-free quantitation strategies, uses xiSEARCH for crosslink identification, and xiDIA-Library to create a spectral library for a peptide-centric quantitative approach. We integrated Spectronaut, a leading quantitation software, to analyse DIA data. Spectronaut supports DIA-QCLMS data to quantify crosslinks. It can be used to reveal the structural dynamics of proteins and protein complexes, even against a complex background. In combination with photoactivatable crosslinkers (photo-DIA-QCLMS), the workflow can increase data density and better capture protein dynamics due to short reaction times. Additionally, this can reveal conformational changes caused by environmental influences that would otherwise affect crosslinking itself, such as changing pH conditions. SIGNIFICANCE: This protocol is an detailed step-by-step description on how to implement our previously published DIA-QCLMS workflow (Müller et al. Mol Cell Proteomics. 2019 Apr;18(4):786-795). It includes sample preparation for QCLMS, Optimization of DIA strategies, implementation of the Spectronaut software and required python scripts and guideline on how to analyse quantitative crosslinking data. The DIA-QCLMS workflow widen the scope for a range of new crosslinking applications and this step-by-step protocol enhances the accessibility to a broad scientific user base.

摘要

定量交联质谱法(QCLMS)可揭示溶液中蛋白质构象的结构细节。QCLMS可受益于数据非依赖采集(DIA),该方法可最大程度提高该技术的准确性、可重复性和通量。此DIA-QCLMS方案包括三个主要部分:样品制备、谱库生成和定量分析。DIA-QCLMS工作流程支持同位素标记以及无标记定量策略,使用xiSEARCH进行交联鉴定,并使用xiDIA-Library创建以肽为中心的定量方法的谱库。我们集成了领先的定量软件Spectronaut来分析DIA数据。Spectronaut支持DIA-QCLMS数据以定量交联。它可用于揭示蛋白质和蛋白质复合物的结构动力学,即使在复杂背景下也是如此。与光活化交联剂(光-DIA-QCLMS)相结合,由于反应时间短,该工作流程可提高数据密度并更好地捕捉蛋白质动力学。此外,这可以揭示由环境影响引起的构象变化,否则这些变化会影响交联本身,例如改变pH条件。意义:本方案是关于如何实施我们之前发表的DIA-QCLMS工作流程(Müller等人,《分子细胞蛋白质组学》。2019年4月;18(4):786-795)的详细分步描述。它包括QCLMS的样品制备、DIA策略的优化、Spectronaut软件的实施以及所需的Python脚本,以及关于如何分析定量交联数据的指南。DIA-QCLMS工作流程拓宽了一系列新交联应用的范围,而这个分步方案提高了广大科学用户群体的可及性。

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