Skip to Main content Skip to Navigation
Journal articles

Decoding the Heterogeneity of Human Dendritic Cell Subsets

Abstract : 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.
Complete list of metadata

https://www.hal.inserm.fr/inserm-03381915
Contributor : Elodie Segura Connect in order to contact the contributor
Submitted on : Monday, October 18, 2021 - 9:40:07 AM
Last modification on : Wednesday, November 17, 2021 - 12:33:45 PM
Long-term archiving on: : Wednesday, January 19, 2022 - 6:36:09 PM

File

Villar Segura_Trends MAA.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Elodie Segura, Javiera Villar. Decoding the Heterogeneity of Human Dendritic Cell Subsets. Trends in Immunology, Elsevier, 2020, 41 (12), pp.1062-1071. ⟨10.1016/j.it.2020.10.002⟩. ⟨inserm-03381915⟩

Share

Metrics

Record views

180

Files downloads

473