4.8 Article

Human microglia maturation is underpinned by specific gene regulatory networks

Journal

IMMUNITY
Volume 56, Issue 9, Pages 2152-+

Publisher

CELL PRESS
DOI: 10.1016/j.immuni.2023.07.016

Keywords

-

Categories

Ask authors/readers for more resources

This study characterized the transcriptomes and epigenetic landscapes of fetal and postnatal human microglia, as well as in induced pluripotent stem cell-derived microglia and cerebral organoids, and after engraftment into humanized mice. Computational approaches were developed to predict gene regulatory networks associated with the maturation of microglia. The results suggest that many features of the fetal-to-postnatal transition can be replicated in a time-dependent manner following engraftment.
Microglia phenotypes are highly regulated by the brain environment, but the transcriptional networks that specify the maturation of human microglia are poorly understood. Here, we characterized stage-specific transcriptomes and epigenetic landscapes of fetal and postnatal human microglia and acquired corresponding data in induced pluripotent stem cell (iPSC)-derived microglia, in cerebral organoids, and following engraftment into humanized mice. Parallel development of computational approaches that considered transcription factor (TF) co-occurrence and enhancer activity allowed prediction of shared and state-specific gene regulatory networks associated with fetal and postnatal microglia. Additionally, many features of the human fetal-to-postnatal transition were recapitulated in a time-dependent manner following the engraftment of iPSC cells into humanized mice. These data and accompanying computational approaches will facilitate further efforts to elucidate mechanisms by which human microglia acquire stage-and disease-specific phenotypes.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available