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Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS)

期刊

BIOMOLECULES
卷 11, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/biom11030382

关键词

cross-linking mass spectrometry; proteomics; chemical cross-linkers; CLMS; proteinprotein; protein-DNA; protein-RNA interactions; structural biology

资金

  1. International Centre for Cancer Vaccine Science, University of Gdansk (Fundacja na rzecz Nauki Polskiej) [MAB/3/2017]
  2. National Science Centre (Narodowe Centrum Nauki, Krakow, Poland) [2020/36/C/NZ2/00108]

向作者/读者索取更多资源

The influence of protein-protein/RNA/DNA interactions on cellular structures and functions has been well documented in the 20th century, with mass spectrometry methods becoming a significant approach for analyzing biomolecules. Cross-linking mass spectrometry (CLMS) holds promise for identifying interaction sites in larger and more complex biological systems.
The fundamentals of how protein-protein/RNA/DNA interactions influence the structures and functions of the workhorses from the cells have been well documented in the 20th century. A diverse set of methods exist to determine such interactions between different components, particularly, the mass spectrometry (MS) methods, with its advanced instrumentation, has become a significant approach to analyze a diverse range of biomolecules, as well as bring insights to their biomolecular processes. This review highlights the principal role of chemistry in MS-based structural proteomics approaches, with a particular focus on the chemical cross-linking of protein-protein/DNA/RNA complexes. In addition, we discuss different methods to prepare the cross-linked samples for MS analysis and tools to identify cross-linked peptides. Cross-linking mass spectrometry (CLMS) holds promise to identify interaction sites in larger and more complex biological systems. The typical CLMS workflow allows for the measurement of the proximity in three-dimensional space of amino acids, identifying proteins in direct contact with DNA or RNA, and it provides information on the folds of proteins as well as their topology in the complexes. Principal CLMS applications, its notable successes, as well as common pipelines that bridge proteomics, molecular biology, structural systems biology, and interactomics are outlined.

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