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Context-specific requirements of Tet enzymes in the modulation of CD8 effector and memory cell fates during acute viral infection [ATAC-seq]

GSE252580 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 13 samples Submitted 2025/04/01 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 13 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
13 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
Developmental epigenetic programming by Tet1/3 determines peripheral CD8 T cell fateEMBO reports · 2025
Summary (written by the submitters)
In response to infections, naïve CD8 T cells give rise effector and memory T cells. However, eliciting long-lived memory CD8T cells remains a challenge for many infections. DNA demethylation of cytosines within CpG dinucleotides by Tet enzymes is a key epigenetic mechanism that regulate transcriptional programs. However, their roles in CD8 T cell memory differentiation is unclear.
Read the full summary ↓
We report that following viral infection, Tet1/3-deficient CD8 T cells preferentially differentiate into short-lived effectors and effector memory cells. Using genome-wide DNA methylation and mice, in which Tet1/3 were ablated during T cell development and in mature CD8 T cells, respectively, we established that Tet1/3 regulate these cell fates by licensing the chromatin landscape of genes downstream of T cell receptor signaling during thymic T cell maturation. These findings unveil the context-specific roles of DNA demethylation, which is essential for defining pathways that contribute to CD8 memory T cell generation against infectious diseases.
Published in
Developmental epigenetic programming by Tet1/3 determines peripheral CD8 T cell fate
Misel-Wuchter KM, Thurman AL, Johnson JT et al. · EMBO reports 2025 · PMID 40175595 · doi:10.1038/s44319-025-00439-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 GSE252580_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 PRJNA1061311 and SRA study SRP481850. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

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