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

被引:9
|
作者
Mueller, Fraenze [1 ]
Rappsilber, Juri [1 ,2 ]
机构
[1] Tech Univ Berlin, Inst Biotechnol, Bioanalyt, D-13355 Berlin, Germany
[2] Univ Edinburgh, Wellcome Ctr Cell Biol, Sch Biol Sci, Edinburgh EH9 3BF, Midlothian, Scotland
基金
英国惠康基金;
关键词
PEPTIDE IDENTIFICATION; CONFORMATIONAL-CHANGES; PROCESSING STRATEGIES; PROTEOMICS; REPRODUCIBILITY; SELECTIVITY; TECHNOLOGY; COMPLEMENT; PROTEASOME; PARAMETERS;
D O I
10.1016/j.jprot.2020.103721
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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 (Muller 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.
引用
收藏
页数:12
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