← BioTransfer GEO Dataset Finder
GEO series

R-loop maintains the deposition of H3K36me3 to prevent invasion of H3K4me3 during SN-oocyte development [3]

GSE285237 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 15 samples Submitted 2026/07/13 Platform GPL28330
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 15 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
15 samples: 7 conditions, mostly in duplicateGroups 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)
Establishment of epigenetic modifications in an orderly manner is crucial for oocyte maturation and embryonic development. R-loop (DNA/RNA hybrids) plays an important role in regulating genome stability, epigenetic modifications and gene expression. However, the specific functions and regulatory mechanisms of R-loop on the crosstalk between histone modifications during oocyte development remain unclear.
Read the full summary ↓
Here, we find that loss of R-loop by overexpressing Rnaseh1 significantly slow down oocyte development. R-loop loss in germinal vesicle (GV) oocyte leads to downregulation of H3K36me3 at key oocyte developmental gene bodies, aberrant invasion of H3K4me3 into H3K36me3-marked regions, resulting in dysregulated gene expression and ultimately hindering oocyte development. Importantly, this dysregulated gene expression can be rescued by histone H3K36me3 methyltransferase SETD2 targeting on specific R-loop-dependent H3K36me3-marked regions. Together, this finding reveals that R-loop acts as a crucial regulator in controlling epigenetic crosstalk of H3K36me3 and H3K4me3 in maternal genome, ensuring normal oocyte development.
This dataset
Open GSE285237 in finder → Find more mouse 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 GSE285237_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 PRJNA1202087 and SRA study SRP553368. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 conditions, mostly in duplicate
SN oocyte_oe-mCherry_H3K36me3 ×2 SN oocyte_oe-Rnaseh1_H3K36me3 ×2 SN oocyte_oe-mCherry_H3K4me3 ×2 SN oocyte_oe-Rnaseh1_H3K4me3 ×2 SN oocyte_oe-mCherry_KAS-seq ×2 SN oocyte_oe-Rnaseh1_SPT6 ×2 SN oocyte_oe-mCherry_SPT6 ×2 SN oocyte_input ×1

Supports a between-group comparison across 14 samples.

How we read this: 7 replicated groups read from 15 sample titles; they account for 14 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

Search all mouse 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.