Improved Peptide Backbone Fragmentation Is the Primary Advantage of MS-Cleavable Crosslinkers.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
07 06 2022
Historique:
pubmed: 26 5 2022
medline: 9 6 2022
entrez: 25 5 2022
Statut: ppublish

Résumé

Proteome-wide crosslinking mass spectrometry studies have coincided with the advent of mass spectrometry (MS)-cleavable crosslinkers that can reveal the individual masses of the two crosslinked peptides. However, recently, such studies have also been published with noncleavable crosslinkers, suggesting that MS-cleavability is not essential. We therefore examined in detail the advantages and disadvantages of using the commonly used MS-cleavable crosslinker, disuccinimidyl sulfoxide (DSSO). Indeed, DSSO gave rise to signature peptide fragments with a distinct mass difference (doublet) for nearly all identified crosslinked peptides. Surprisingly, we could show that it was not these peptide masses that proved the main advantage of MS cleavability of the crosslinker, but improved peptide backbone fragmentation which reduces the ambiguity of peptide identifications. This also holds true for another commonly used MS-cleavable crosslinker, DSBU. We show furthermore that the more intricate MS3-based data acquisition approaches lack sensitivity and specificity, causing them to be outperformed by the simpler and faster stepped higher-energy collisional dissociation (HCD) method. This understanding will guide future developments and applications of proteome-wide crosslinking mass spectrometry.

Identifiants

pubmed: 35613060
doi: 10.1021/acs.analchem.1c05266
pmc: PMC9178559
doi:

Substances chimiques

Cross-Linking Reagents 0
Peptides 0
Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7779-7786

Subventions

Organisme : Wellcome Trust
ID : 103139
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203149
Pays : United Kingdom

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Auteurs

Lars Kolbowski (L)

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

Swantje Lenz (S)

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

Lutz Fischer (L)

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

Ludwig R Sinn (LR)

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

Francis J O'Reilly (FJ)

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

Juri Rappsilber (J)

Technische Universität Berlin, Chair of Bioanalytics, 10623 Berlin, Germany.
University of Edinburgh, Wellcome Centre for Cell Biology, Edinburgh EH9 3BF, U.K.

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Classifications MeSH