Decoding the Heterogeneity of Human Dendritic Cell Subsets.


Journal

Trends in immunology
ISSN: 1471-4981
Titre abrégé: Trends Immunol
Pays: England
ID NLM: 100966032

Informations de publication

Date de publication:
12 2020
Historique:
received: 10 06 2020
revised: 30 09 2020
accepted: 07 10 2020
entrez: 30 11 2020
pubmed: 1 12 2020
medline: 18 3 2021
Statut: ppublish

Résumé

Dendritic cells (DCs) have been classified into distinct subsets based on phenotype and ontogeny. In the past few years, high throughput single-cell approaches have revealed further heterogeneity of human DCs, in particular at the transcriptomic level. Herein examined, are recent studies describing new human DC populations based on single-cell RNA-seq analysis, and a unified view of these emerging DC populations is presented. Also assessed are the features that define bona fide DC lineages, as opposed to cell states of the same lineage. Finally, where these newly described DC populations fit in the ontogeny-based classification of human DCs is examined.

Identifiants

pubmed: 33250080
pii: S1471-4906(20)30231-3
doi: 10.1016/j.it.2020.10.002
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1062-1071

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Javiera Villar (J)

Institut Curie, PSL Research University, INSERM, U932, 26 rue d'Ulm, Paris, France.

Elodie Segura (E)

Institut Curie, PSL Research University, INSERM, U932, 26 rue d'Ulm, Paris, France. Electronic address: elodie.segura@curie.fr.

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Classifications MeSH