Structural mass spectrometry comes of age: new insight into protein structure, function and interactions.


Journal

Biochemical Society transactions
ISSN: 1470-8752
Titre abrégé: Biochem Soc Trans
Pays: England
ID NLM: 7506897

Informations de publication

Date de publication:
28 02 2019
Historique:
received: 13 09 2018
revised: 27 11 2018
accepted: 04 12 2018
pubmed: 17 1 2019
medline: 1 5 2019
entrez: 17 1 2019
Statut: ppublish

Résumé

Mass spectrometry (MS) provides an impressive array of information about the structure, function and interactions of proteins. In recent years, many new developments have been in the field of native MS and these exemplify a new coming of age of this field. In this mini review, we connect the latest methodological and instrumental developments in native MS to the new insights these have enabled. We highlight the prominence of an increasingly common strategy of using hybrid approaches, where multiple MS-based techniques are used in combination, and integrative approaches, where MS is used alongside other techniques such as ion-mobility spectrometry. We also review how the emergence of a native top-down approach, which combines native MS with top-down proteomics into a single experiment, is the pièce de résistance of structural mass spectrometry's coming of age. Finally, we outline key developments that have enabled membrane protein native MS to shift from being extremely challenging to routine, and how this technique is uncovering inaccessible details of membrane protein-lipid interactions.

Identifiants

pubmed: 30647140
pii: BST20180356
doi: 10.1042/BST20180356
doi:

Substances chimiques

Ligands 0
Proteins 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

317-327

Informations de copyright

© 2019 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society.

Auteurs

Timothy M Allison (TM)

School of Physical and Chemical Sciences, Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand timothy.allison@canterbury.ac.nz cherine.bechara@igf.cnrs.fr.

Cherine Bechara (C)

Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France timothy.allison@canterbury.ac.nz cherine.bechara@igf.cnrs.fr.

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Classifications MeSH