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

Martin Guilliams; Charles Antoine Dutertre; Charlotte L. Scott; Naomi McGovern; Dorine Sichien; Svetoslav Chakarov; Sofie Van Gassen; Jinmiao Chen; Michael Poidinger; Sofie De Prijck; Simon J. Tavernier; Ivy Low; Sergio Erdal Irac; Citra Nurfarah Mattar; Hermi Rizal Sumatoh; Gillian Hui Ling Low; Tam John Kit Chung; Dedrick Kok Hong Chan; Ker Kan Tan; Tony Lim Kiat Hon; Even Fossum; Bjarne Bogen; Mahesh Choolani; Jerry Kok Yen Chan; Anis Larbi; Hervé Luche; Sandrine Henri; Yvan Saeys; Evan William Newell; Bart N. Lambrecht; Bernard Malissen; Florent Ginhoux

doi:10.1016/j.immuni.2016.08.015

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

Martin Guilliams, Charles Antoine Dutertre, Charlotte L. Scott, Naomi McGovern, Dorine Sichien, Svetoslav Chakarov, Sofie Van Gassen, Jinmiao Chen, Michael Poidinger, Sofie De Prijck, Simon J. Tavernier, Ivy Low, Sergio Erdal Irac, Citra Nurfarah Mattar, Hermi Rizal Sumatoh, Gillian Hui Ling Low, Tam John Kit Chung, Dedrick Kok Hong Chan, Ker Kan Tan, Tony Lim Kiat HonEven Fossum, Bjarne Bogen, Mahesh Choolani, Jerry Kok Yen Chan, Anis Larbi, Hervé Luche, Sandrine Henri, Yvan Saeys, Evan William Newell, Bart N. Lambrecht, Bernard Malissen, Florent Ginhoux

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

608 Citations (Scopus)

Résumé

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.

langue originale	Anglais
Pages (de - à)	669-684
Nombre de pages	16
journal	Immunity
Volume	45
Numéro de publication	3
Les DOIs	https://doi.org/10.1016/j.immuni.2016.08.015
état	Publié - 20 sept. 2016
Modification externe	Oui

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10.1016/j.immuni.2016.08.015

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Guilliams, M., Dutertre, C. A., Scott, C. L., McGovern, N., Sichien, D., Chakarov, S., Van Gassen, S., Chen, J., Poidinger, M., De Prijck, S., Tavernier, S. J., Low, I., Irac, S. E., Mattar, C. N., Sumatoh, H. R., Low, G. H. L., Chung, T. J. K., Chan, D. K. H., Tan, K. K., ... Ginhoux, F. (2016). Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species. Immunity, 45(3), 669-684. https://doi.org/10.1016/j.immuni.2016.08.015

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title = "Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species",

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 = "Martin Guilliams and Dutertre, {Charles Antoine} and Scott, {Charlotte L.} and Naomi McGovern and Dorine Sichien and Svetoslav Chakarov and {Van Gassen}, Sofie and Jinmiao Chen and Michael Poidinger and {De Prijck}, Sofie and Tavernier, {Simon J.} and Ivy Low 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 Even Fossum and Bjarne Bogen and Mahesh Choolani and Chan, {Jerry Kok Yen} and Anis Larbi and Herv{\'e} Luche and Sandrine Henri and Yvan Saeys and Newell, {Evan William} and Lambrecht, {Bart N.} and Bernard Malissen and Florent Ginhoux",

note = "Publisher Copyright: {\textcopyright} 2016 The Author(s)",

year = "2016",

month = sep,

day = "20",

doi = "10.1016/j.immuni.2016.08.015",

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Guilliams, M, Dutertre, CA, Scott, CL, McGovern, N, Sichien, D, Chakarov, S, Van Gassen, S, Chen, J, Poidinger, M, De Prijck, S, Tavernier, SJ, Low, I, Irac, SE, Mattar, CN, Sumatoh, HR, Low, GHL, Chung, TJK, Chan, DKH, Tan, KK, Hon, TLK, Fossum, E, Bogen, B, Choolani, M, Chan, JKY, Larbi, A, Luche, H, Henri, S, Saeys, Y, Newell, EW, Lambrecht, BN, Malissen, B & Ginhoux, F 2016, 'Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species', Immunity, VOL. 45, Numéro 3, p. 669-684. https://doi.org/10.1016/j.immuni.2016.08.015

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T1 - Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species

AU - Guilliams, Martin

AU - Dutertre, Charles Antoine

AU - Scott, Charlotte L.

AU - McGovern, Naomi

AU - Sichien, Dorine

AU - Chakarov, Svetoslav

AU - Van Gassen, Sofie

AU - Chen, Jinmiao

AU - Poidinger, Michael

AU - De Prijck, Sofie

AU - Tavernier, Simon J.

AU - Low, Ivy

AU - Irac, Sergio Erdal

AU - Mattar, Citra Nurfarah

AU - Sumatoh, Hermi Rizal

AU - Low, Gillian Hui Ling

AU - Chung, Tam John Kit

AU - Chan, Dedrick Kok Hong

AU - Tan, Ker Kan

AU - Hon, Tony Lim Kiat

AU - Fossum, Even

AU - Bogen, Bjarne

AU - Choolani, Mahesh

AU - Chan, Jerry Kok Yen

AU - Larbi, Anis

AU - Luche, Hervé

AU - Henri, Sandrine

AU - Saeys, Yvan

AU - Newell, Evan William

AU - Lambrecht, Bart N.

AU - Malissen, Bernard

AU - Ginhoux, Florent

PY - 2016/9/20

Y1 - 2016/9/20

N2 - 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.

AB - 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.

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