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TET1 non-catalytic activity shapes the chromatin-landscape that directs de novo methylation establishment in the male germline [RNAseq]

GSE318254 Mus musculus (mouse) DNA methylation 8 samples Submitted 2026/07/22 Platform GPL32159
At a glance

DNA methylation · mouse · 8 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
8 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
TET1 noncatalytic activity shapes the chromatin landscape associated with de novo methylation establishment in the male germlineGenes & development · 2026
Summary (written by the submitters)
In the germline, DNA methylation is globally erased in primordial germ cells (PGCs), enabling establishment of sex-specific methylomes in prospermatogonia or oocytes. The catalytic activity of TET1 is required for complete demethylation in PGCs, yet sperm from Tet1-/- mice display methylation defects not explained by incomplete erasure.
Read the full summary ↓
Instead, these defects arise from abnormal de novo methylation during development, coinciding with erosion of H3K4me3, a chromatin modification that blocks DNMT3A/3L. Using a catalytically inactive Tet1HxD mouse line, we demonstrate a non-catalytic role of TET1 in promoting H3K4me3 deposition and protecting a subset of sperm hypomethylated regions from aberrant methylation in prospermatogonia.
Published in
TET1 noncatalytic activity shapes the chromatin landscape associated with de novo methylation establishment in the male germline
Prasasya RD, Kim JJ, Liu Z et al. · Genes & development 2026 · PMID 42448565 · doi:10.1101/gad.353483.125
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 GSE318254_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 beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1416987 and SRA study SRP672365. Searching any of these in the dataset finder brings you back here.

Samples in this study

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