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Regulatory T cells in the Tumor Microenvironment Display a Unique Chromatin Accessibility Profile (ATAC-Seq)

GSE246700 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 140 samples Submitted 2025/02/26 Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 140 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
140 samples: 51 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Regulatory T cells in the tumor microenvironment display a unique chromatin accessibility profileImmunoHorizons · 2025
Summary (written by the submitters)
Regulatory T cells (Tregs) are a suppressive CD4+ T cell population that limit the anti-tumor immune response. In this study, we analyzed the chromatin accessibility of Tregs in the murine tumor microenvironment (TME) to identify tumor-specific accessible peaks and if these are altered over time in the tumor microenvironment, with or without anti-PD1 immunotherapy.
Read the full summary ↓
We found that Tregs have a more distinct chromatin accessibility signature in the TME compared to Tregs in the periphery than within location over time in the models we accessed. This distinct tumor Treg chromatin accessibility profile highlights reduced accessibility at loci important for an CD4+ conventional T cell (CD4+ Foxp3—) effector phenotype and reinforcement of a suppressive phenotype. Analysis of chromatin accessibility in Tregs in B16 and MC38 tumor models indicated similar regulation independent of tumor type, indicating a tumor-derived Treg effector signature in the models we accessed. We also found that Tregs do not alter their transcriptome nor chromatin accessibility following immunotherapy. We conclude that chromatin accessibility in Tregs is altered in the TME, but is otherwise remarkably stable and appears unaltered by tumor type, over time, or following immunotherapy.
Published in
Regulatory T cells in the tumor microenvironment display a unique chromatin accessibility profile
Dadey RE, Cui J, Rajasundaram D et al. · ImmunoHorizons 2025 · PMID 39965167 · doi:10.1093/immhor/vlae014
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE246700_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1034147 and SRA study SRP469522. Searching any of these in the dataset finder brings you back here.

Study design
51 conditions, mostly in duplicate
CD4 LN Iso ×4 CD4 LN Early ×4 CD4 LN Late ×4 Treg LN Iso ×4 Treg LN N ×4 Treg LN Early ×4 Treg LN Late ×4 CD4 TIL Iso ×4 +44 more

Supports a between-group comparison across 139 samples.

How we read this: 51 replicated groups read from 140 sample titles; they account for 139 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 100 more — browse all 140 samples with per-sample file links →

Datasets on a similar topic

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

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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.