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Comparison of the chromatin status of peripheral blood Treg cells with Treg and naive CD4T cells in various tissues.

GSE325626 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 35 samples Submitted 2026/05/15 Platform GPL21273
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 35 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
35 samples: 12 conditions, mostly in triplicateGroups 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.
Summary (written by the submitters)
Despite their translational importance, peripheral blood (PB) regulatory T (Treg) cells have rarely been subjected to the kind of systematic, cross-tissue comparisons. Thus, to reveal the chromatin status of Treg cells in PB, we performed transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) on Treg and naiveCD4 T cells from different organs including PB.
This dataset
Open GSE325626 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →
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.

Series matrix ↓
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 GSE325626_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1441369 and SRA study SRP685848. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly in triplicate
freshly prepared spleen Treg cells, ×3 freshly prepared lymph nodes Treg cells, ×3 freshly prepared liver Treg cells, ×3 freshly prepared lung Treg cells, ×3 freshly prepared bone marrow Treg cells, ×3 freshly prepared peripheral blood Treg cells, ×3 freshly prepared lymph nodes naive CD4T cell… ×3 freshly prepared liver naive CD4T cells, ×3 +4 more

Supports a between-group comparison across 35 samples.

How we read this: 12 replicated groups read from 35 sample titles; they account for 35 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
Datasets on a similar topic

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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.