Innovation in Cross-Linking Mass Spectrometry Workflows: Toward a Comprehensive, Flexible, and Customizable Data Analysis Platform

被引:3
作者
Nie, Minhan [1 ]
Li, Huilin [1 ,2 ]
机构
[1] Sun Yat Sen Univ, Sch Pharmaceut Sci, Guangzhou 510006, Peoples R China
[2] Sun Yat Sen Univ, Sch Pharmaceut Sci, Guangdong Key Lab Chiral Mol & Drug Discovery, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
cross-linking mass spectrometry; platinum-based cross-linker; search engines; identification; algorithms; LINKED PEPTIDES; AUTOMATED ASSIGNMENT; PROTEIN INTERACTIONS; CISPLATIN; IDENTIFICATION; MS; AFFINITY; BINDING; TOOL;
D O I
10.1021/jasms.3c00123
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Cross-linking mass spectrometry (XL-MS) is widely usedin the analysisof protein structure and protein-protein interactions (PPIs).Throughout the entire workflow, the utilization of cross-linkers andthe interpretation of cross-linking data are the core steps. In recentyears, the development of cross-linkers and analytical software mostlyfollow up on the classical models of non-cleavable cross-linkers suchas BS3/DSS and MS-cleavable cross-linkers such as DSSO. Although sucha paradigm promotes the maturity and robustness of the XL-MS field,it confines the innovation and flexibility of new cross-linkers andanalytical software. This critical insight will discuss the classification,advantages, and disadvantages of existing data analysis search engines.Take the new platinum-based metal cross-linker as an example, potentialpitfalls in characterization of cross-linked peptides using existingsoftware are discussed. Finally, ideas on developing more flexible,comprehensive, and user-friendly cross-linkers and software tools are proposed.
引用
收藏
页码:1949 / 1956
页数:8
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