Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross-Linking.

IF 6.9 2区 化学 Q1 SPECTROSCOPY
Haiyan Lu, Zexin Zhu, Lauren Fields, Hua Zhang, Lingjun Li
{"title":"Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross-Linking.","authors":"Haiyan Lu, Zexin Zhu, Lauren Fields, Hua Zhang, Lingjun Li","doi":"10.1002/mas.21908","DOIUrl":null,"url":null,"abstract":"<p><p>The exploration of protein structure and function stands at the forefront of life science and represents an ever-expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS-based structural proteomics is making significant strides in the realms of structural and molecular biology, complementing traditional structural biology techniques. This review focuses on two powerful MS-based techniques for peptide-level readout, namely limited proteolysis-mass spectrometry (LiP-MS) and cross-linking mass spectrometry (XL-MS). First, we discuss the principles, features, and different workflows of these two methods. Subsequently, we delve into the bioinformatics strategies and software tools used for interpreting data associated with these protein conformation readouts and how the data can be integrated with other computational tools. Furthermore, we provide a comprehensive summary of the noteworthy applications of LiP-MS and XL-MS in diverse areas including neurodegenerative diseases, interactome studies, membrane proteins, and artificial intelligence-based structural analysis. Finally, we discuss the factors that modulate protein conformational changes. We also highlight the remaining challenges in understanding the intricacies of protein conformational changes by LiP-MS and XL-MS technologies.</p>","PeriodicalId":206,"journal":{"name":"Mass Spectrometry Reviews","volume":" ","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mass Spectrometry Reviews","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1002/mas.21908","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPECTROSCOPY","Score":null,"Total":0}
引用次数: 0

Abstract

The exploration of protein structure and function stands at the forefront of life science and represents an ever-expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS-based structural proteomics is making significant strides in the realms of structural and molecular biology, complementing traditional structural biology techniques. This review focuses on two powerful MS-based techniques for peptide-level readout, namely limited proteolysis-mass spectrometry (LiP-MS) and cross-linking mass spectrometry (XL-MS). First, we discuss the principles, features, and different workflows of these two methods. Subsequently, we delve into the bioinformatics strategies and software tools used for interpreting data associated with these protein conformation readouts and how the data can be integrated with other computational tools. Furthermore, we provide a comprehensive summary of the noteworthy applications of LiP-MS and XL-MS in diverse areas including neurodegenerative diseases, interactome studies, membrane proteins, and artificial intelligence-based structural analysis. Finally, we discuss the factors that modulate protein conformational changes. We also highlight the remaining challenges in understanding the intricacies of protein conformational changes by LiP-MS and XL-MS technologies.

通过有限蛋白质分解和交联实现质谱结构蛋白质组学。
对蛋白质结构和功能的探索是生命科学的前沿,也是蛋白质组学发展中不断扩展的重点。由于质谱(MS)可在蛋白质和肽水平读出蛋白质的构象变化,因此基于质谱的结构蛋白质组学在结构和分子生物学领域取得了重大进展,是对传统结构生物学技术的补充。本综述重点介绍两种强大的基于质谱的肽水平读出技术,即有限蛋白水解质谱(LiP-MS)和交联质谱(XL-MS)。首先,我们将讨论这两种方法的原理、特点和不同的工作流程。随后,我们深入探讨了用于解释这些蛋白质构象读数相关数据的生物信息学策略和软件工具,以及如何将这些数据与其他计算工具整合。此外,我们还全面总结了 LiP-MS 和 XL-MS 在神经退行性疾病、相互作用组研究、膜蛋白和基于人工智能的结构分析等不同领域中值得关注的应用。最后,我们讨论了调节蛋白质构象变化的因素。我们还强调了利用 LiP-MS 和 XL-MS 技术了解蛋白质构象变化的复杂性所面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Mass Spectrometry Reviews
Mass Spectrometry Reviews 物理-光谱学
CiteScore
16.30
自引率
3.00%
发文量
56
期刊介绍: The aim of the journal Mass Spectrometry Reviews is to publish well-written reviews in selected topics in the various sub-fields of mass spectrometry as a means to summarize the research that has been performed in that area, to focus attention of other researchers, to critically review the published material, and to stimulate further research in that area. The scope of the published reviews include, but are not limited to topics, such as theoretical treatments, instrumental design, ionization methods, analyzers, detectors, application to the qualitative and quantitative analysis of various compounds or elements, basic ion chemistry and structure studies, ion energetic studies, and studies on biomolecules, polymers, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信