PMID- 33250080 OWN - NLM STAT- MEDLINE DCOM- 20210317 LR - 20210317 IS - 1471-4981 (Electronic) IS - 1471-4906 (Linking) VI - 41 IP - 12 DP - 2020 Dec TI - Decoding the Heterogeneity of Human Dendritic Cell Subsets. PG - 1062-1071 LID - S1471-4906(20)30231-3 [pii] LID - 10.1016/j.it.2020.10.002 [doi] AB - 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. CI - Copyright (c) 2020 Elsevier Ltd. All rights reserved. FAU - Villar, Javiera AU - Villar J AD - Institut Curie, PSL Research University, INSERM, U932, 26 rue d'Ulm, Paris, France. FAU - Segura, Elodie AU - Segura E AD - Institut Curie, PSL Research University, INSERM, U932, 26 rue d'Ulm, Paris, France. Electronic address: elodie.segura@curie.fr. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PT - Review DEP - 20201023 PL - England TA - Trends Immunol JT - Trends in immunology JID - 100966032 SB - IM MH - *Dendritic Cells/classification/cytology MH - Humans MH - Phenotype MH - *Transcriptome EDAT- 2020/12/01 06:00 MHDA- 2021/03/18 06:00 CRDT- 2020/11/30 05:26 PHST- 2020/06/10 00:00 [received] PHST- 2020/09/30 00:00 [revised] PHST- 2020/10/07 00:00 [accepted] PHST- 2020/11/30 05:26 [entrez] PHST- 2020/12/01 06:00 [pubmed] PHST- 2021/03/18 06:00 [medline] AID - S1471-4906(20)30231-3 [pii] AID - 10.1016/j.it.2020.10.002 [doi] PST - ppublish SO - Trends Immunol. 2020 Dec;41(12):1062-1071. doi: 10.1016/j.it.2020.10.002. Epub 2020 Oct 23.