Light-Induced Orthogonal Fragmentation of Crosslinked Peptides.


Journal

JACS Au
ISSN: 2691-3704
Titre abrégé: JACS Au
Pays: United States
ID NLM: 101775714

Informations de publication

Date de publication:
28 Aug 2023
Historique:
received: 19 04 2023
revised: 02 08 2023
accepted: 03 08 2023
medline: 1 9 2023
pubmed: 1 9 2023
entrez: 1 9 2023
Statut: epublish

Résumé

Crosslinking mass spectrometry provides pivotal information on the structure and interaction of proteins. MS-cleavable crosslinkers are regarded as a cornerstone for the analysis of complex mixtures. Yet they fragment under similar conditions as peptides, leading to mixed fragmentation spectra of the crosslinker and peptide. This hampers selecting individual peptides for their independent identification. Here, we introduce orthogonal cleavage using ultraviolet photodissociation (UVPD) to increase crosslinker over peptide fragmentation. We designed and synthesized a crosslinker that can be cleaved at 213 nm in a commercial mass spectrometer configuration. In an analysis of crosslinked

Identifiants

pubmed: 37654600
doi: 10.1021/jacsau.3c00199
pmc: PMC10466327
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2123-2130

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom

Informations de copyright

© 2023 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

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Auteurs

Lars Kolbowski (L)

Chair of Bioanalytics, Technische Universität Berlin, 10623 Berlin, Germany.

Adam Belsom (A)

Chair of Bioanalytics, Technische Universität Berlin, 10623 Berlin, Germany.

Ana M Pérez-López (AM)

Chair of Bioanalytics, Technische Universität Berlin, 10623 Berlin, Germany.

Tony Ly (T)

Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, U.K.

Juri Rappsilber (J)

Chair of Bioanalytics, Technische Universität Berlin, 10623 Berlin, Germany.
Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, U.K.
Si-M/″Der Simulierte Mensch″, a Science Framework of Technische Universität Berlin and Charité - Universitätsmedizin Berlin, 10623 Berlin, Germany.

Classifications MeSH