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Three-dimensional chromatin reorganization during CD8+ T cell activation is mediated by TRIM28 [ATAC-Seq]

GSE260962 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2024/12/03 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 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
12 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
TRIM28 is an essential regulator of three-dimensional chromatin state underpinning CD8(+) T cell activationNature communications · 2025
Summary (written by the submitters)
T cell activation is accompanied by extensive changes in epigenome. However, whether and how high-ordered chromatin organization is involved in CD8+ T cell activation is unclear. Here, we showed extensive changes in the three-dimensional genome during CD8+ T cell activation, associated with changes in gene transcription. Moreover, we identified Tripartite motif containing 28 (TRIM28) as an essential mediator in re-organization of spatial chromosomal interactions.
Read the full summary ↓
Trim28 deficiency impaired CD8+ T cell activation in vitro and in vivo, due to its regulation on autocrine IL-2 production. Mechanistically, TRIM28 bound to genes associated with CD8+ T cell activation and promoted the formation of chromosomal loops. At the loop anchor regions, TRIM28 is likely recruited by CTCF, and required for binding of RNA Pol II and cohesin to form active chromosomal structure. These results thus identify a critical role of TRIM28-dependent chromatin topology in gene transcription during CD8+ T cell activation.
Published in
TRIM28 is an essential regulator of three-dimensional chromatin state underpinning CD8(+) T cell activation
Wei K, Li R, Zhao X et al. · Nature communications 2025 · PMID 39820353 · doi:10.1038/s41467-025-56029-z
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 GSE260962_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 PRJNA1084743 and SRA study SRP493622. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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