← BioTransfer GEO Dataset Finder
GEO series

H3K36 Methylation - a Guardian of Epigenome Integrity

GSE274367 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 164 samples Submitted 2025/10/23 Platform GPL21273Platform GPL24247Platform GPL24676Platform GPL21103Platform GPL20301
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 164 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
164 samples: 128 distinct titles, 30 of them repeatedGroups 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.
Paper
H3K36 Methylation as a Guardian of Epigenome IntegrityNature communications · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
H3K36 Methylation as a Guardian of Epigenome Integrity
Padilla R, Shipman GA, Horth C et al. · Nature communications 2025 · PMID 41381501 · doi:10.1038/s41467-025-66365-9
This dataset
Open GSE274367 in finder → Find more 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 GSE274367_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 PRJNA1146045 and SRA study SRP525143. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41381501) ↗
Study design
128 distinct titles, 30 of them repeated
C3H10T1-2_ASH1L-KO_RNAseq ×3 C3H10T1-2_NSD1-2-3-SETD2-ASH1L-QuiKO_RNAseq ×3 C3H10T1-2_NSD1-2-3-SETD2-QKO_RNAseq ×3 C3H10T1-2_NSD1-2-SETD2-TKO_RNAseq ×3 C3H10T1-2_NSD3-KO_RNAseq ×3 C3H10T1-2_Parental_sgCtrl_RNAseq ×3 C3H10T1-2_NSD1-2-3-SETD2-ASH1L-QuiKO_CUTandRU… ×2 C3H10T1-2_NSD1-2-3-SETD2-ASH1L-QuiKO_CUTandRU… ×2 +22 more

How we read this: Read from 164 sample titles: 128 distinct titles with little repetition. 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

+ 124 more — browse all 164 samples with per-sample file links →

Datasets on a similar topic

Search all ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.