期刊
ANALYTICAL CHEMISTRY
卷 94, 期 51, 页码 17751-17756出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.2c00494
关键词
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资金
- ASAP Collaborative Research Network Grant [ASAP-000519]
- German Research Foundation through Germany's Excellence Strategy [EXC 2067/1-390729940, SFB1035, CRC889]
- German Research Foundation [STE 2517/5-1]
This article presents a mono-and intralink filter that can be applied to any type of cross-linking data and workflow, effectively reducing the number of false-positive identifications for inter-protein links in XL-MS data.
Cross-linking mass spectrometry (XL-MS) has become an indispensable tool for the emerging field of systems structural biology over the recent years. However, the confidence in individual protein-protein interactions (PPIs) depends on the correct assessment of individual inter-protein cross-links. In this article, we describe a mono-and intralink filter (mi-filter) that is applicable to any kind of cross-linking data and workflow. It stipulates that only proteins for which at least one monolink or intra-protein cross-link has been identified within a given data set are considered for an inter-protein cross-link and therefore participate in a PPI. We show that this simple and intuitive filter has a dramatic effect on different types of cross-linking data ranging from individual protein complexes over medium-complexity affinity enrichments to proteome-wide cell lysates and significantly reduces the number of false-positive identifications for inter-protein links in all these types of XL-MS data.
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