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A MAC2-positive progenitor-like microglial population is resistant to CSF1R inhibition in adult mouse brain.
- Source :
-
ELife [Elife] 2020 Oct 15; Vol. 9. Date of Electronic Publication: 2020 Oct 15. - Publication Year :
- 2020
-
Abstract
- Microglia are the resident myeloid cells in the central nervous system (CNS). The majority of microglia rely on CSF1R signaling for survival. However, a small subset of microglia in mouse brains can survive without CSF1R signaling and reestablish the microglial homeostatic population after CSF1R signaling returns. Using single-cell transcriptomic analysis, we characterized the heterogeneous microglial populations under CSF1R inhibition, including microglia with reduced homeostatic markers and elevated markers of inflammatory chemokines and proliferation. Importantly, MAC2/ Lgals3 was upregulated under CSF1R inhibition, and shared striking similarities with microglial progenitors in the yolk sac and immature microglia in early embryos. Lineage-tracing studies revealed that these MAC2+ cells were of microglial origin. MAC2+ microglia were also present in non-treated adult mouse brains and exhibited immature transcriptomic signatures indistinguishable from those that survived CSF1R inhibition, supporting the notion that MAC2+ progenitor-like cells are present among adult microglia.<br />Competing Interests: LZ, LF, LK, PS, MW, GM, YZ, YL No competing interests declared, LG Li Gan is a founder of Aeton Therapeutics, Inc.<br /> (© 2020, Zhan et al.)
- Subjects :
- Animals
Female
Galectin 3 metabolism
Homeostasis
Male
Mice genetics
Mice, Inbred C57BL
Receptors, Granulocyte-Macrophage Colony-Stimulating Factor metabolism
Brain metabolism
Galectin 3 genetics
Mice physiology
Microglia metabolism
Receptors, Granulocyte-Macrophage Colony-Stimulating Factor genetics
Signal Transduction genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2050-084X
- Volume :
- 9
- Database :
- MEDLINE
- Journal :
- ELife
- Publication Type :
- Academic Journal
- Accession number :
- 33054973
- Full Text :
- https://doi.org/10.7554/eLife.51796