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Polycomb Repressive Complex 1 Primes Non-Growing Oocytes for Growth and Early Embryogenesis [CUT&Tag]

GSE311349 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 32 samples Submitted 2026/02/23 Platform GPL34290Platform GPL21103
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 32 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
32 samples: 16 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.
Paper
Polycomb Repressive Complex 1 primes non-growing oocytes for growth and early embryogenesisCell research · 2026
Summary (written by the submitters)
Ovarian reserve defines the female reproductive lifespan, which in humans spans decades due to the robust maintenance of meiotic arrest in non-growing oocytes residing in primordial follicles. Dynamic epigenomic reprogramming and programming occur during mammalian germline and early embryonic development. However, the chromatin-based mechanisms that underlie the establishment and maintenance of ovarian reserves are poorly defined.
Read the full summary ↓
Here, we report a comprehensive epigenomic landscape of mouse perinatal oocytes and unravel Polycomb-based mechanisms underlying ovarian reserve development. By quantitatively profiling key histone modifications, including the Polycomb-mediated repressive marks H2AK119ub and H3K27me3, we identified two major epigenomic transitions: one for ovarian reserve formation from meiotic prophase I to dictyate-arrested non-growing oocytes, and another for ovarian reserve activation from non-growing to growing oocytes. Combining conditional loss-of-function mouse models for Polycomb Repressive Complex 1 or 2 (PRC1/2), we show that PRC1-H2AK119ub and PRC2-H3K27me3 undergo differential dynamics during perinatal oogenesis and have distinct biological functions in ovarian reserve formation and maintenance. Notably, PRC1-H2AK119ub presets the epigenetic states in non-growing oocytes and provides a blueprint for the PRC2-H3K27me3 profile, which is globally reprogrammed as oocytes exit the ovarian reserve and grow. Our study determines a comprehensive epigenomic roadmap of perinatal oogenesis, shedding light on how the ovarian reserve is formed, maintained, and activated, emphasizing a critical window of epigenetic programming during female germline development.
Published in
Polycomb Repressive Complex 1 primes non-growing oocytes for growth and early embryogenesis
Hu M, Munakata Y, Yeh YH et al. · Cell research 2026 · PMID 41731163 · doi:10.1038/s41422-026-01232-w
This dataset
Open GSE311349 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 GSE311349_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 PRJNA1368995 and SRA study SRP648790. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41731163) ↗
Study design
16 conditions, mostly in duplicate
WT_CT_E18O_H2AK119ub ×2 WT_CT_P1O_H2AK119ub ×2 WT_CT_P6NGO_H2AK119ub ×2 WT_CT_P7GO_H2AK119ub ×2 WT_CT_E18O_H3K27me3 ×2 WT_CT_P1O_H3K27me3 ×2 WT_CT_P6NGO_H3K27me3 ×2 WT_CT_P7GO_H3K27me3 ×2 +8 more

Supports a between-group comparison across 32 samples.

How we read this: 16 replicated groups read from 32 sample titles; they account for 32 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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