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Intrinsic de novo DNA methylation in early embryos enables the generation of semi-cloned mice from methylation-deficient androgenetic haploid stem cells

GSE292524 Mus musculus (mouse) DNA methylation 174 samples Submitted 2025/07/31 Platform GPL24247
At a glance

DNA methylation · mouse · 174 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
174 samples: 48 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.
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below. Abstract Among all mammalian cell types, sperm cells exhibit one of the highest levels of DNA methylation, with ~80% of CpG sites being methylated. The role of this sperm hypermethylation in offspring development, aside from the methylation at the well-characterized H19-DMR and Dlk1-Dio3 intergenic germline DMR (IG-DMR) loci, remains largely unexplored.
Read the full summary ↓
In mouse germ cells, removal of DNA methylation by deleting methyltransferase (Dnmt) genes causes meiotic catastrophe and infertility. To circumvent this limitation, we inactivated them instead in androgenetic haploid embryonic stem cells (AG-haESCs) lacking H19-DMR and IG-DMR to remove methylation prior to oocyte injection, and subsequently reactivated them in the resulting embryos during cleavage, to ensure Dnmt sufficiency. This strategy enabled the generation of viable offspring from unmethylated paternally-derived haploid cells. In the resulting embryos, the paternal genome rapidly reacquired methylation and was comparable to wild-type in post-implantation embryos. These semi-cloned embryos could develop to term and survived to adulthood, exhibiting near-normal morphological and physiological parameters. These findings indicate that the essential hereditary function of the paternal genome methylation is mainly restricted to the imprinted loci Igf2-H19 and Dlk1-Dio3, while methylation elsewhere appears dispensable for subsequent development, as de novo methylation activity intrinsic to the early embryo ensures epigenetic reprogramming for offspring development.
This dataset
Open GSE292524 in finder → Find more mouse RNA-seq 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 GSE292524_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 beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1239091 and SRA study SRP574976. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
48 conditions, mostly in duplicate
pWT_M_PBAT ×10 oocyte_PBAT ×8 pWT_4C_PBAT ×7 pIR_2C_PBAT ×7 pWT_2C_PBAT ×6 pIR_B_PBAT ×6 pWT_8C_PBAT ×5 pWT_2C ×4 +46 more

Supports a between-group comparison across 168 samples.

How we read this: 48 replicated groups read from 174 sample titles; they account for 168 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

+ 134 more — browse all 174 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.