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Protein-protein cross-linking and human health: the challenge of elucidating with mass spectrometry

journal contribution
posted on 2023-05-03, 20:43 authored by Evelyne MaesEvelyne Maes, Jolon Dyer, Hannah McKerchar, Santanu Deb-Choudhury, Stefan ClerensStefan Clerens
Introduction: In several biomedical research fields, the cross-linking of peptides and proteins has an important impact on health and wellbeing. It is therefore of crucial importance to study this important class of posttranslational modifications in detail. The huge potential of mass spectrometric technologies in the mapping of these protein-protein cross-links is however overshadowed by the challenges the field has to overcome. Areas covered: In this review, we summarize the different pitfalls and challenges the protein-protein cross-linking field is confronted with while elucidating them via mass spectrometry approaches. We additionally focus on native disulfide bridges as an exemplar and provide some examples of cross-links that are important in the biomedical field. Expert commentary: The current flow of methodological improvements, mainly from the chemical cross-linking field, has delivered a significant contribution to deciphering native and insult-induced cross-links. Although currently not yet possible, the cross-linking field is well on the way towards a more automated analysis of cross-links in raw mass spectrometry data that will boost its potential in biomedical applications.

History

Rights statement

© 2017 Informa UK Limited, trading as Taylor & Francis Group

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

Taylor & Francis Group

Journal title

Expert Review of Proteomics

ISSN

1478-9450

Citation

Maes, E., Dyer, J. M., McKerchar, H. J., Deb-Choudhury, S., & Clerens, S. (2017). Protein-protein cross-linking and human health: the challenge of elucidating with mass spectrometry. Expert Review of Proteomics, 14(10), 917-929. doi:10.1080/14789450.2017.1362336

Contract number

A23224

Job code

167703