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

被引:676
作者
Guilliams, Martin [1 ,2 ,3 ]
Dutertre, Charles-Antoine [4 ,5 ]
Scott, Charlotte L. [1 ,2 ]
McGovern, Naomi [4 ]
Sichien, Dorine [1 ,2 ]
Chakarov, Svetoslav [4 ]
Van Gassen, Sofie [6 ,7 ]
Chen, Jinmiao [4 ]
Poidinger, Michael [4 ]
De Prijck, Sofie [1 ,8 ]
Tavernier, Simon J. [1 ,8 ]
Low, Ivy [4 ]
Irac, Sergio Erdal [5 ]
Mattar, Citra Nurfarah [9 ]
Sumatoh, Hermi Rizal [4 ]
Low, Gillian Hui Ling [4 ]
Chung, Tam John Kit [10 ]
Chan, Dedrick Kok Hong [10 ]
Tan, Ker Kan [10 ]
Hon, Tony Lim Kiat [11 ]
Fossum, Even [12 ]
Bogen, Bjame [12 ,13 ]
Choolani, Mahesh [9 ]
Chan, Jerry Kok Yen [4 ,9 ,14 ,15 ]
Larbi, Anis [4 ]
Luche, Herve [3 ,16 ]
Henri, Sandrine [3 ]
Saeys, Yvan [7 ,8 ]
Newell, Evan William [4 ]
Lambrecht, Bart N. [1 ,8 ,17 ]
Malissen, Bernard [3 ,16 ]
Ginhoux, Florent [4 ]
机构
[1] VIB Inflammat Res Ctr, Unit Immunoregulat & Mucosal Immunol, B-9052 Ghent, Belgium
[2] Univ Ghent, Dept Biomed Mol Biol, B-9000 Ghent, Belgium
[3] Aix Marseille Univ, CNRS, INSERM, Ctr Immunol Marseille Luminy, F-13288 Marseille, France
[4] ASTAR, Singapore Immunol Network SIgN, BIOPOLIS, 8A Biomed Grove,IMMUNOS Bldg 3-4, Singapore 138648, Singapore
[5] Duke NUS Med Sch, Program Emerging Infect Dis, 8 Coll Rd, Singapore 169857, Singapore
[6] Univ Ghent, Dept Informat Technol, iMinds, B-9000 Ghent, Belgium
[7] VIB Inflammat Res Ctr, Data Min & Modeling Biomed, B-9052 Ghent, Belgium
[8] Univ Ghent, Dept Internal Med, B-9000 Ghent, Belgium
[9] Natl Univ Singapore, Yong Loo Lin Sch Med, Expt Fetal Med Grp, Singapore 119077, Singapore
[10] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Surg, Singapore 119077, Singapore
[11] Natl Univ Singapore, Dept Pathol, Singapore 119077, Singapore
[12] Univ Oslo, Oslo Univ Hosp, KG Jebsen Ctr Influenza Vaccine Res, N-0027 Oslo, Norway
[13] Univ Oslo, Oslo Univ Hosp, Rikshosp, Inst Immunol,Ctr Immune Regulat, N-0424 Oslo, Norway
[14] KK Womens & Childrens Hosp, Dept Reprod Med, Div Obstet & Gynaecol, Singapore 229899, Singapore
[15] Duke NUS Grad Med Sch, Canc & Stem Cell Biol Program, Singapore 119077, Singapore
[16] Aix Marseille Univ, CNRS, Ctr Immunophenom, INSERM, F-13288 Marseille, France
[17] Erasmus MC, Dept Pulm Med, Dr Molewaterpl 50, NL-3015 GE Rotterdam, Netherlands
基金
新加坡国家研究基金会; 欧洲研究理事会;
关键词
CLONOGENIC PROGENITOR; SIGNALING CONTROLS; STEADY-STATE; LYMPH-NODES; BONE-MARROW; MACROPHAGES; EXPRESSION; RESPONSES; BLOOD; HOMEOSTASIS;
D O I
10.1016/j.immuni.2016.08.015
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
071005 [微生物学]; 100108 [医学免疫学];
摘要
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.
引用
收藏
页码:669 / 684
页数:16
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