Single-cell metabolomics by mass spectrometry: ready for primetime?


Journal

Current opinion in biotechnology
ISSN: 1879-0429
Titre abrégé: Curr Opin Biotechnol
Pays: England
ID NLM: 9100492

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 08 02 2023
revised: 17 04 2023
accepted: 23 05 2023
medline: 23 10 2023
pubmed: 26 6 2023
entrez: 25 6 2023
Statut: ppublish

Résumé

Single-cell metabolomics (SCMs) is a powerful tool for studying cellular heterogeneity by providing insight into the differences between individual cells. With the development of a set of promising SCMs pipelines, this maturing technology is expected to be widely used in biomedical research. However, before SCMs is ready for primetime, there are some challenges to overcome. In this review, we summarize the trends and challenges in the development of SCMs. We also highlight the latest methodologies, applications, and sketch the perspective for integration with other omics and imaging approaches.

Identifiants

pubmed: 37356380
pii: S0958-1669(23)00073-3
doi: 10.1016/j.copbio.2023.102963
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102963

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no conflicts of interests in this paper.

Auteurs

Congrou Zhang (C)

Metabolomics and Analytics Center, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands.

Sylvia E Le Dévédec (SE)

Division of Drug Discovery and Safety, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands.

Ahmed Ali (A)

Metabolomics and Analytics Center, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands. Electronic address: ali@lacdr.leidenuniv.nl.

Thomas Hankemeier (T)

Metabolomics and Analytics Center, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands. Electronic address: hankemeier@lacdr.leidenuniv.nl.

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Classifications MeSH