Single-cell mass spectrometry.

cellular heterogeneity lipidomics mass cytometry mass spectrometry metabolomics proteomics single-cell analysis

Journal

Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903

Informations de publication

Date de publication:
11 2022
Historique:
received: 31 01 2022
revised: 04 04 2022
accepted: 09 04 2022
pubmed: 14 5 2022
medline: 18 10 2022
entrez: 13 5 2022
Statut: ppublish

Résumé

Owing to recent advances in mass spectrometry (MS), tens to hundreds of proteins, lipids, and small molecules can be measured in single cells. The ability to characterize the molecular heterogeneity of individual cells is necessary to define the full assortment of cell subtypes and identify their function. We review single-cell MS including high-throughput, targeted, mass cytometry-based approaches and antibody-free methods for broad profiling of the proteome and metabolome of single cells. The advantages and disadvantages of different methods are discussed, as well as the challenges and opportunities for further improvements in single-cell MS. These methods is being used in biomedicine in several applications including revealing tumor heterogeneity and high-content drug screening.

Identifiants

pubmed: 35562238
pii: S0167-7799(22)00102-0
doi: 10.1016/j.tibtech.2022.04.004
pii:
doi:

Substances chimiques

Lipids 0
Proteome 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1374-1392

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no conflicts of interest.

Auteurs

Mohammad Tajik (M)

School of Chemistry, University of New South Wales, Sydney, New South Wales, 2052, Australia.

Mahroo Baharfar (M)

School of Chemical Engineering, University of New South Wales, Sydney, New South Wales, 2052, Australia.

William A Donald (WA)

School of Chemistry, University of New South Wales, Sydney, New South Wales, 2052, Australia. Electronic address: w.donald@unsw.edu.au.

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Classifications MeSH