← BioTransfer GEO Dataset Finder
GEO series

Epigenetic and Transcriptional Programming of Esophageal Eosinophils by the Local Tissue Environment [ATAC-seq]

GSE262175 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 8 samples Submitted 2025/09/04 Platform GPL24247
Summary
Tissue eosinophilia is a hallmark feature of allergic diseases. Eosinophils resident in different tissues have unique properties, and whether that heterogeneity is stochastic or regulated by cell-intrinsic or extrinsic factors has not been established. We profiled tissue eosinophils in the esophagus during allergic inflammation using single-cell sequencing, epigenomic mapping, and flow cytometry. Human and murine esophageal eosinophils exhibited a specialized transcriptional and epigenetic landscape, composed of metabolic, extracellular sensing, and immunomodulatory genes, and enriched for AP-1 transcription factor binding sites. Additionally, human esophageal eosinophils were enriched for genes present within allergic disease risk loci and genes that correlated with the degree of esophageal eosinophilia. Furthermore, the esophageal eosinophil molecular signature was regulated by interactions between eosinophils and esophageal epithelial cells. Taken together, we determined that esophageal eosinophils are programmed through interactions with epithelial cells by interplay of local tissue extrinsic factors that operate through a transcription factor complex containing AP-1.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE262175_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 PRJNA1090517 and SRA study SRP497049. 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.