← BioTransfer GEO Dataset Finder
GEO series

Transcriptional regulation of microglia priming by IRF7, IRF9 and SMAD3 in accelerated aging mice [ATAC-seq]

GSE227605 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 8 samples Submitted 2024/12/31 Platform GPL17021
Summary
Microglia are the tissue resident macrophages of the central nervous system (CNS). Dysregulation of inflammatory processes in the CNS is associated with aging, and neurodegenerative diseases, where microglia acquire a sensitized, or primed, phenotype, which is characterized by an increased inflammatory phenotype and an exaggerated reactivity to immune challenges. Transcriptomic profiling of microglia in different neurodegenerative disease and aging mouse models identified a common, primed, gene expression signature. However, the transcriptional mechanisms that mediate microglia priming still remains unclear. In DNA repair deficient (Ercc1Δ/ko) mice, microglia acquire a profound primed phenotype and by integrating RNA-seq and ATAC-seq data of Ercc1Δ/ko microglia, we identified transcription factors IRF7, IRF9 and SMAD3 as possible core regulators of microglia priming. Our data suggest that increased IRF7/IRF9 activity and decreased SMAD3 activity might be important for microglia to acquire a primed gene signature. This study provides insight in the transcriptomic regulation of primed microglia, which are implicated in aging and neurodegenerative diseases.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE227605_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA945901 and SRA study SRP427943. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.