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Immunity. 2016 Sep 20;45(3):669-684. doi: 10.1016/j.immuni.2016.08.015. Epub 2016 Sep 13.

Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species.

Author information

1
Unit of Immunoregulation and Mucosal Immunology, VIB Inflammation Research Center, Ghent 9052, Belgium; Department of Biomedical Molecular Biology, Ghent University, Ghent 9000, Belgium; Centre d'Immunologie de Marseille-Luminy, Aix-Marseille Université, Inserm, CNRS, 13288 Marseille, France. Electronic address: martin.guilliams@irc.vib-ugent.be.
2
Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), 8A Biomedical Grove, IMMUNOS Building #3-4, BIOPOLIS, Singapore 138648, Singapore; Program in Emerging Infectious Disease, Duke-NUS Medical School, 8 College Road, Singapore 169857, Singapore.
3
Unit of Immunoregulation and Mucosal Immunology, VIB Inflammation Research Center, Ghent 9052, Belgium; Department of Biomedical Molecular Biology, Ghent University, Ghent 9000, Belgium.
4
Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), 8A Biomedical Grove, IMMUNOS Building #3-4, BIOPOLIS, Singapore 138648, Singapore.
5
Department of Information Technology, iMinds, Ghent University, Ghent 9000, Belgium; Data Mining and Modeling for Biomedicine, VIB Inflammation Research Center, Ghent 9052, Belgium.
6
Unit of Immunoregulation and Mucosal Immunology, VIB Inflammation Research Center, Ghent 9052, Belgium; Department of Internal Medicine, Ghent University, Ghent 9000, Belgium.
7
Program in Emerging Infectious Disease, Duke-NUS Medical School, 8 College Road, Singapore 169857, Singapore.
8
Experimental Fetal Medicine Group, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
9
Department of Surgery, Yong Loo Lin School of Medicine, National University Singapore, Singapore 119077, Singapore.
10
Department of Pathology, National University of Singapore, Singapore 119077, Singapore.
11
K.G. Jebsen Centre for Influenza Vaccine Research, Oslo University Hospital, University of Oslo, 0027 Oslo, Norway.
12
K.G. Jebsen Centre for Influenza Vaccine Research, Oslo University Hospital, University of Oslo, 0027 Oslo, Norway; Center for Immune Regulation, Institute of Immunology, Oslo University Hospital Rikshospitalet, University of Oslo, 0424 Oslo, Norway.
13
Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), 8A Biomedical Grove, IMMUNOS Building #3-4, BIOPOLIS, Singapore 138648, Singapore; Experimental Fetal Medicine Group, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore; Department of Reproductive Medicine, Division of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore 229899, Singapore; Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore 119077, Singapore.
14
Centre d'Immunologie de Marseille-Luminy, Aix-Marseille Université, Inserm, CNRS, 13288 Marseille, France; Centre d'Immunophénomique, Aix Marseille Université, Inserm, CNRS, 13288 Marseille, France.
15
Centre d'Immunologie de Marseille-Luminy, Aix-Marseille Université, Inserm, CNRS, 13288 Marseille, France.
16
Data Mining and Modeling for Biomedicine, VIB Inflammation Research Center, Ghent 9052, Belgium; Department of Internal Medicine, Ghent University, Ghent 9000, Belgium.
17
Unit of Immunoregulation and Mucosal Immunology, VIB Inflammation Research Center, Ghent 9052, Belgium; Department of Internal Medicine, Ghent University, Ghent 9000, Belgium; Department of Pulmonary Medicine, Erasmus MC Rotterdam, Dr Molewaterplein 50, Rotterdam 3015 GE, The Netherlands. Electronic address: bart.lambrecht@irc.vib-ugent.be.
18
Centre d'Immunologie de Marseille-Luminy, Aix-Marseille Université, Inserm, CNRS, 13288 Marseille, France; Centre d'Immunophénomique, Aix Marseille Université, Inserm, CNRS, 13288 Marseille, France. Electronic address: bernardm@ciml.univ-mrs.fr.
19
Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), 8A Biomedical Grove, IMMUNOS Building #3-4, BIOPOLIS, Singapore 138648, Singapore. Electronic address: florent_ginhoux@immunol.a-star.edu.sg.

Abstract

Dendritic cells (DCs) are professional antigen-presenting cells that hold great therapeutic potential. Multiple DC subsets have been described, and it remains challenging to align them across tissues and species to analyze their function in the absence of macrophage contamination. Here, we provide and validate a universal toolbox for the automated identification of DCs through unsupervised analysis of conventional flow cytometry and mass cytometry data obtained from multiple mouse, macaque, and human tissues. The use of a minimal set of lineage-imprinted markers was sufficient to subdivide DCs into conventional type 1 (cDC1s), conventional type 2 (cDC2s), and plasmacytoid DCs (pDCs) across tissues and species. This way, a large number of additional markers can still be used to further characterize the heterogeneity of DCs across tissues and during inflammation. This framework represents the way forward to a universal, high-throughput, and standardized analysis of DC populations from mutant mice and human patients.

Comment in

PMID:
27637149
PMCID:
PMC5040826
DOI:
10.1016/j.immuni.2016.08.015
[Indexed for MEDLINE]
Free PMC Article

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