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Single-cell analysis of fate-mapped macrophages reveals heterogeneity, including stem-like properties, during atherosclerosis progression and regression
- Source :
- JCI insight. 4(4)
- Publication Year :
- 2018
-
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.
- Subjects :
- 0301 basic medicine
CX3C Chemokine Receptor 1
Biology
Monocyte-Macrophage Precursor Cells
03 medical and health sciences
Mice
0302 clinical medicine
Single-cell analysis
Fate mapping
CX3CR1
Macrophage
Animals
Humans
RNA-Seq
Bone Marrow Transplantation
Mice, Knockout
Transplantation Chimera
Transition (genetics)
Macrophages
RNA
Cell Differentiation
General Medicine
M2 polarization
Macrophage Activation
Atherosclerosis
Regression
Plaque, Atherosclerotic
Disease Models, Animal
030104 developmental biology
Receptors, LDL
Diet, Western
030220 oncology & carcinogenesis
Cancer research
Disease Progression
Single-Cell Analysis
Signal Transduction
Research Article
Subjects
Details
- ISSN :
- 23793708
- Volume :
- 4
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- JCI insight
- Accession number :
- edsair.doi.dedup.....59669afb3205d265f152c3262e1b8659