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TEX cell fate and differentiation are shaped by 3D genome reorganization and chromatin architecture integrity [D3]

GSE284090 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2026/06/03 Platform GPL21273
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 18 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
18 samples: 6 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)
CTCF is recognized for its role in facilitating long-range chromatin interactions and 3D genome organization. In CD8+ T cells responding to chronic infection, CTCF undergoes redistribution to activate the exhausted cytotoxic effector (Tex-eff) program while simultaneously utilizing its insulation function to regulate the fate of precursors to stem-like exhausted T (Tex-prec) cells.
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 GSE284090_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 PRJNA1197112 and SRA study SRP551141. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
ATAC D3_WT_Tex-prec ×3 ATAC D3_WT_Tex-eff ×3 ATAC D3_CTCFKO_Tex-prec ×3 ATAC D3_CTCFKO_Tex-eff ×3 CTCF CUTRUN D3_Tex-prec ×3 CTCF CUTRUN D3_Tex-eff ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.