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Mapping the human DC lineage through the integration of high-dimensional techniques.

Authors :
See P
Dutertre CA
Chen J
Günther P
McGovern N
Irac SE
Gunawan M
Beyer M
Händler K
Duan K
Sumatoh HRB
Ruffin N
Jouve M
Gea-Mallorquí E
Hennekam RCM
Lim T
Yip CC
Wen M
Malleret B
Low I
Shadan NB
Fen CFS
Tay A
Lum J
Zolezzi F
Larbi A
Poidinger M
Chan JKY
Chen Q
Rénia L
Haniffa M
Benaroch P
Schlitzer A
Schultze JL
Newell EW
Ginhoux F
Source :
Science (New York, N.Y.) [Science] 2017 Jun 09; Vol. 356 (6342). Date of Electronic Publication: 2017 May 04.
Publication Year :
2017

Abstract

Dendritic cells (DC) are professional antigen-presenting cells that orchestrate immune responses. The human DC population comprises two main functionally specialized lineages, whose origins and differentiation pathways remain incompletely defined. Here, we combine two high-dimensional technologies-single-cell messenger RNA sequencing (scmRNAseq) and cytometry by time-of-flight (CyTOF)-to identify human blood CD123 <superscript>+</superscript> CD33 <superscript>+</superscript> CD45RA <superscript>+</superscript> DC precursors (pre-DC). Pre-DC share surface markers with plasmacytoid DC (pDC) but have distinct functional properties that were previously attributed to pDC. Tracing the differentiation of DC from the bone marrow to the peripheral blood revealed that the pre-DC compartment contains distinct lineage-committed subpopulations, including one early uncommitted CD123 <superscript>high</superscript> pre-DC subset and two CD45RA <superscript>+</superscript> CD123 <superscript>low</superscript> lineage-committed subsets exhibiting functional differences. The discovery of multiple committed pre-DC populations opens promising new avenues for the therapeutic exploitation of DC subset-specific targeting.<br /> (Copyright © 2017, American Association for the Advancement of Science.)

Details

Language :
English
ISSN :
1095-9203
Volume :
356
Issue :
6342
Database :
MEDLINE
Journal :
Science (New York, N.Y.)
Publication Type :
Academic Journal
Accession number :
28473638
Full Text :
https://doi.org/10.1126/science.aag3009