SWATH-MS for metabolomics and lipidomics: critical aspects of qualitative and quantitative analysis.


Journal

Metabolomics : Official journal of the Metabolomic Society
ISSN: 1573-3890
Titre abrégé: Metabolomics
Pays: United States
ID NLM: 101274889

Informations de publication

Date de publication:
05 06 2020
Historique:
received: 24 03 2020
accepted: 29 05 2020
entrez: 7 6 2020
pubmed: 7 6 2020
medline: 7 7 2021
Statut: epublish

Résumé

While liquid chromatography coupled to mass spectrometric detection in the selected reaction monitoring detection mode offers the best quantification sensitivity for omics, the number of target analytes is limited, must be predefined and specific methods developed. Data independent acquisition (DIA), including SWATH using quadrupole time of flight or orbitrap mass spectrometers and generic acquisition methods, has emerged as a powerful alternative technique for quantitative and qualitative analyses since it can cover a wide range of analytes without predefinition. Here we review the current state of DIA, SWATH-MS and highlight novel acquisition strategies for metabolomics and lipidomics and opportunities for data analysis tools. Different databases were searched for papers that report developments and applications of DIA and in particular SWATH-MS in metabolomics and lipidomics. DIA methods generate digital sample records that can be mined retrospectively as further knowledge is gained and, with standardized acquisition schemes, used in multiple studies. The different chemical spaces of metabolites and lipids require different specificities, hence different acquisition and data processing approaches must be considered for their analysis. Although the hardware and acquisition modes are well defined for SWATH-MS, a major challenge for routine use remains the lack of appropriate software tools capable of handling large datasets and large numbers of analytes.

Identifiants

pubmed: 32504120
doi: 10.1007/s11306-020-01692-0
pii: 10.1007/s11306-020-01692-0
doi:

Substances chimiques

Lipids 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

71

Auteurs

Michel Raetz (M)

Life Sciences Mass Spectrometry, Department of Inorganic and Analytical Chemistry, University of Geneva, 24 Quai Ernest Ansermet, CH-1211, Geneva, Switzerland.

Ron Bonner (R)

Ron Bonner Consulting, Newmarket, ON, L3Y 3C7, Canada.

Gérard Hopfgartner (G)

Life Sciences Mass Spectrometry, Department of Inorganic and Analytical Chemistry, University of Geneva, 24 Quai Ernest Ansermet, CH-1211, Geneva, Switzerland. gerard.hopfgartner@unige.ch.

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Classifications MeSH