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Unsupervised high-dimensional analysis aligns dendritic cells across tissues and species

(2016) IMMUNITY. 45(3). p.669-684
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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.
Keywords
CLONOGENIC PROGENITOR, SIGNALING CONTROLS, STEADY-STATE, LYMPH-NODES, BONE-MARROW, MACROPHAGES, EXPRESSION, RESPONSES, BLOOD, HOMEOSTASIS

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Citation

Please use this url to cite or link to this publication:

Chicago
Guilliams, Martin, Charles-Antoine Dutertre, Charlotte Scott, Naomi McGovern, Dorine Sichien, Svetoslav Chakarov, Sofie Van Gassen, et al. 2016. “Unsupervised High-dimensional Analysis Aligns Dendritic Cells Across Tissues and Species.” Immunity 45 (3): 669–684.
APA
Guilliams, M., Dutertre, C.-A., Scott, C., McGovern, N., Sichien, D., Chakarov, S., Van Gassen, S., et al. (2016). Unsupervised high-dimensional analysis aligns dendritic cells across tissues and species. IMMUNITY, 45(3), 669–684.
Vancouver
1.
Guilliams M, Dutertre C-A, Scott C, McGovern N, Sichien D, Chakarov S, et al. Unsupervised high-dimensional analysis aligns dendritic cells across tissues and species. IMMUNITY. 2016;45(3):669–84.
MLA
Guilliams, Martin, Charles-Antoine Dutertre, Charlotte Scott, et al. “Unsupervised High-dimensional Analysis Aligns Dendritic Cells Across Tissues and Species.” IMMUNITY 45.3 (2016): 669–684. Print.
@article{8163748,
  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.},
  author       = {Guilliams, Martin and Dutertre, Charles-Antoine and Scott, Charlotte and McGovern, Naomi and Sichien, Dorine and Chakarov, Svetoslav and Van Gassen, Sofie and Chen, Jinmiao and Poidinger, Michael and De Prijck, Sofie and Tavernier, Simon and Low, Ivy and Irac, Sergio Erdal and Mattar, Citra Nurfarah and Sumatoh, Hermi Rizal and Low, Gillian Hui Ling and Chung, Tam John Kit and Chan, Dedrick Kok Hong and Tan, Ker Kan and Hon, Tony Lim Kiat and Fossum, Even and Bogen, Bjarne and Choolani, Mahesh and Chan, Jerry Kok Yen and Larbi, Anis and Luche, Herv{\'e} and Henri, Sandrine and Saeys, Yvan and Newell, Evan William and Lambrecht, Bart and Malissen, Bernard and Ginhoux, Florent},
  issn         = {1074-7613},
  journal      = {IMMUNITY},
  language     = {eng},
  number       = {3},
  pages        = {669--684},
  title        = {Unsupervised high-dimensional analysis aligns dendritic cells across tissues and species},
  url          = {http://dx.doi.org/10.1016/j.immuni.2016.08.015},
  volume       = {45},
  year         = {2016},
}

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