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

GSE246701 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2025/02/26 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 64 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
64 samples
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 GSE246701_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1034148 and SRA study SRP469517. Searching any of these in the dataset finder brings you back here.

Samples in this study

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