TY - JOUR
T1 - Atlas of the immune cell repertoire in mouse atherosclerosis defined by single-cell RNA-sequencing and mass cytometry
AU - Winkels, Holger
AU - Ehinger, Erik
AU - Vassallo, Melanie
AU - Buscher, Konrad
AU - Dinh, Huy Q.
AU - Kobiyama, Kouji
AU - Hamers, Anouk A.J.
AU - Cochain, Clément
AU - Vafadarnejad, Ehsan
AU - Saliba, Antoine Emmanuel
AU - Zernecke, Alma
AU - Pramod, Akula Bala
AU - Ghosh, Amlan K.
AU - Michel, Nathaly Anto
AU - Hoppe, Natalie
AU - Hilgendorf, Ingo
AU - Zirlik, Andreas
AU - Hedrick, Catherine C.
AU - Ley, Klaus
AU - Wolf, Dennis
N1 - Publisher Copyright:
© 2018 American Heart Association, Inc.
PY - 2018
Y1 - 2018
N2 - Rationale: Atherosclerosis is a chronic inflammatory disease that is driven by the interplay of pro- and anti-inflammatory leukocytes in the aorta. Yet, the phenotypic and transcriptional diversity of aortic leukocytes is poorly understood. Objective: We characterized leukocytes from healthy and atherosclerotic mouse aortas in-depth by single-cell RNAsequencing and mass cytometry (cytometry by time of flight) to define an atlas of the immune cell landscape in atherosclerosis. Methods and Results: Using single-cell RNA-sequencing of aortic leukocytes from chow diet- and Western diet-fed Apoe- and Ldlr- mice, we detected 11 principal leukocyte clusters with distinct phenotypic and spatial characteristics while the cellular repertoire in healthy aortas was less diverse. Gene set enrichment analysis on the single-cell level established that multiple pathways, such as for lipid metabolism, proliferation, and cytokine secretion, were confined to particular leukocyte clusters. Leukocyte populations were differentially regulated in atherosclerotic Apoe- and Ldlr- mice. We confirmed the phenotypic diversity of these clusters with a novel mass cytometry 35-marker panel with metal-labeled antibodies and conventional flow cytometry. Cell populations retrieved by these protein-based approaches were highly correlated to transcriptionally defined clusters. In an integrated screening strategy of single-cell RNA-sequencing, mass cytometry, and fluorescence-activated cell sorting, we detected 3 principal B-cell subsets with alterations in surface markers, functional pathways, and in vitro cytokine secretion. Leukocyte cluster gene signatures revealed leukocyte frequencies in 126 human plaques by a genetic deconvolution strategy. This approach revealed that human carotid plaques and microdissected mouse plaques were mostly populated by macrophages, T-cells, and monocytes. In addition, the frequency of genetically defined leukocyte populations in carotid plaques predicted cardiovascular events in patients. Conclusions: The definition of leukocyte diversity by high-dimensional analyses enables a fine-grained analysis of aortic leukocyte subsets, reveals new immunologic mechanisms and cell-type-specific pathways, and establishes a functional relevance for lesional leukocytes in human atherosclerosis.
AB - Rationale: Atherosclerosis is a chronic inflammatory disease that is driven by the interplay of pro- and anti-inflammatory leukocytes in the aorta. Yet, the phenotypic and transcriptional diversity of aortic leukocytes is poorly understood. Objective: We characterized leukocytes from healthy and atherosclerotic mouse aortas in-depth by single-cell RNAsequencing and mass cytometry (cytometry by time of flight) to define an atlas of the immune cell landscape in atherosclerosis. Methods and Results: Using single-cell RNA-sequencing of aortic leukocytes from chow diet- and Western diet-fed Apoe- and Ldlr- mice, we detected 11 principal leukocyte clusters with distinct phenotypic and spatial characteristics while the cellular repertoire in healthy aortas was less diverse. Gene set enrichment analysis on the single-cell level established that multiple pathways, such as for lipid metabolism, proliferation, and cytokine secretion, were confined to particular leukocyte clusters. Leukocyte populations were differentially regulated in atherosclerotic Apoe- and Ldlr- mice. We confirmed the phenotypic diversity of these clusters with a novel mass cytometry 35-marker panel with metal-labeled antibodies and conventional flow cytometry. Cell populations retrieved by these protein-based approaches were highly correlated to transcriptionally defined clusters. In an integrated screening strategy of single-cell RNA-sequencing, mass cytometry, and fluorescence-activated cell sorting, we detected 3 principal B-cell subsets with alterations in surface markers, functional pathways, and in vitro cytokine secretion. Leukocyte cluster gene signatures revealed leukocyte frequencies in 126 human plaques by a genetic deconvolution strategy. This approach revealed that human carotid plaques and microdissected mouse plaques were mostly populated by macrophages, T-cells, and monocytes. In addition, the frequency of genetically defined leukocyte populations in carotid plaques predicted cardiovascular events in patients. Conclusions: The definition of leukocyte diversity by high-dimensional analyses enables a fine-grained analysis of aortic leukocyte subsets, reveals new immunologic mechanisms and cell-type-specific pathways, and establishes a functional relevance for lesional leukocytes in human atherosclerosis.
KW - atherosclerosis
KW - flow cytometry
KW - immune system
KW - leukocytes
KW - lymphocytes
KW - macrophages
KW - mass cytometry
KW - single-cell RNA-sequencing
UR - https://www.scopus.com/pages/publications/85046991602
UR - https://www.scopus.com/pages/publications/85046991602#tab=citedBy
U2 - 10.1161/CIRCRESAHA.117.312513
DO - 10.1161/CIRCRESAHA.117.312513
M3 - Article
C2 - 29545366
AN - SCOPUS:85046991602
SN - 0009-7330
VL - 122
SP - 1675
EP - 1688
JO - Circulation research
JF - Circulation research
IS - 12
ER -