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Single-cell analysis of fate-mapped macrophages reveals heterogeneity, including stem-like properties, during atherosclerosis progression and regression
Jian-Da Lin, … , Edward A. Fisher, P’ng Loke
Jian-Da Lin, … , Edward A. Fisher, P’ng Loke
Published February 21, 2019
Citation Information: JCI Insight. 2019;4(4):e124574. https://doi.org/10.1172/jci.insight.124574.
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Research Article Cardiology Immunology

Single-cell analysis of fate-mapped macrophages reveals heterogeneity, including stem-like properties, during atherosclerosis progression and regression

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Abstract

Atherosclerosis is a leading cause of death worldwide in industrialized countries. Disease progression and regression are associated with different activation states of macrophages derived from inflammatory monocytes entering the plaques. The features of monocyte-to-macrophage transition and the full spectrum of macrophage activation states during either plaque progression or regression, however, are incompletely established. Here, we use a combination of single-cell RNA sequencing and genetic fate mapping to profile, for the first time to our knowledge, plaque cells derived from CX3CR1+ precursors in mice during both progression and regression of atherosclerosis. The analyses revealed a spectrum of macrophage activation states with greater complexity than the traditional M1 and M2 polarization states, with progression associated with differentiation of CXC3R1+ monocytes into more distinct states than during regression. We also identified an unexpected cluster of proliferating monocytes with a stem cell–like signature, suggesting that monocytes may persist in a proliferating self-renewal state in inflamed tissue, rather than differentiating immediately into macrophages after entering the tissue.

Authors

Jian-Da Lin, Hitoo Nishi, Jordan Poles, Xiang Niu, Caroline Mccauley, Karishma Rahman, Emily J. Brown, Stephen T. Yeung, Nikollaq Vozhilla, Ada Weinstock, Stephen A. Ramsey, Edward A. Fisher, P’ng Loke

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Figure 5

Pseudotime scores and related genes associated with atherosclerosis progression and regression.

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Pseudotime scores and related genes associated with atherosclerosis prog...
(A) We used PC1 scores as a pseudotime measure and show shifted distributions of progression and regression cells. (B) Heatmap of genes identified to be significantly correlated with the pseudotime score. (C) We identified 53 genes significantly correlated with the pseudotime score that are negatively associated (r = –0.347, P = 0.01103) with merged gene expression log2 (polyI:C/saline) values from a previous atherosclerosis regression/progression study (38).

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