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

Immunity (Cambridge, Mass.), 2016-09, Vol.45 (3), p.669-684 [Peer Reviewed Journal]

2016 The Author(s) ;Copyright © 2016 The Author(s). Published by Elsevier Inc. All rights reserved. ;Copyright Elsevier Limited Sep 20, 2016 ;Distributed under a Creative Commons Attribution 4.0 International License ;2016 The Author(s) 2016 ;ISSN: 1074-7613 ;EISSN: 1097-4180 ;DOI: 10.1016/j.immuni.2016.08.015 ;PMID: 27637149

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Title:
Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species
Author: Guilliams, Martin ; Dutertre, Charles-Antoine ; Scott, Charlotte L. ; McGovern, Naomi ; Sichien, Dorine ; Chakarov, Svetoslav ; Van Gassen, Sofie ; Chen, Jinmiao ; Poidinger, Michael ; De Prijck, Sofie ; Tavernier, Simon J. ; Low, Ivy ; Irac, Sergio Erdal ; Mattar, Citra Nurfarah ; Sumatoh, Hermi Rizal ; Low, Gillian Hui Ling ; Chung, Tam John Kit ; Chan, Dedrick Kok Hong ; Tan, Ker Kan ; Hon, Tony Lim Kiat ; Fossum, Even ; Bogen, Bjarne ; Choolani, Mahesh ; Chan, Jerry Kok Yen ; Larbi, Anis ; Luche, Hervé ; Henri, Sandrine ; Saeys, Yvan ; Newell, Evan William ; Lambrecht, Bart N. ; Malissen, Bernard ; Ginhoux, Florent
Subjects: Animals ; Cell Differentiation - physiology ; Classification ; Dendritic cells ; Dendritic Cells - physiology ; Experiments ; Flow Cytometry ; Grants ; Humans ; Immunoglobulins ; Immunology ; Inflammation - pathology ; Life Sciences ; Macaca ; Mice ; Mice, Inbred C57BL ; Resource ; Transcription factors
Is Part Of: Immunity (Cambridge, Mass.), 2016-09, Vol.45 (3), p.669-684
Description: 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. [Display omitted] •A conserved gating strategy aligns dendritic cells (DCs) in mouse and human tissues•Unsupervised computational analysis of flow cytometry data outperforms manual analysis•Mass cytometry reveals heterogeneity of DC subsets across mouse and human tissues•DC activation upon inflammation tracked by automated analysis of mass cytometry Using unsupervised analysis of flow cytometry and mass cytometry data obtained from multiple mouse, macaque, and human tissues, Guilliams et al. provide a universal toolbox for the automated identification of dendritic cells. This framework represents the way forward to high-throughput and standardized analysis of dendritic cells from mutant mice and patients.
Publisher: United States: Elsevier Inc
Language: English
Identifier: ISSN: 1074-7613
EISSN: 1097-4180
DOI: 10.1016/j.immuni.2016.08.015
PMID: 27637149
Source: Hyper Article en Ligne (HAL) (Open Access)
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Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species

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