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Loss of maternal PADI6 disrupts DNA methylation and genomic imprinting maintenance in late preimplantation mouse embryos.

GSE316549 Mus musculus (mouse) DNA methylation 19 samples Submitted 2026/06/03 Platform GPL34328
At a glance

DNA methylation · mouse · 19 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
19 samples: 19 samples, each with a distinct title — no replicated groupsGroups 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
Loss of maternal PADI6 disrupts DNA methylation and genomic imprinting maintenance in late preimplantation mouse embryosEpigenetics & chromatin · 2026
Summary (written by the submitters)
The maternal-effect protein PADI6, which is part of the subcortical maternal complex, is involved in proper spindle assembly, organelle distribution, ribosome storage, and cytoplasmic lattice organization in mouse oocytes. In humans, variants of PADI6 are associated with female infertility and multilocus imprinting disturbance in offspring.
Read the full summary ↓
Recently, it was demonstrated that PADI6 plays a role in the storage and cytoplasmic localization of epigenetic factors, including UHRF1 and DNMT1. Moreover, maternal PADI6 depletion leads to defective epigenetic reprogramming and zygotic genome activation but not to an imprinting defect in two-cell mouse embryos. These findings raise the possibility that imprinting disturbances arise later in development.
Published in
Loss of maternal PADI6 disrupts DNA methylation and genomic imprinting maintenance in late preimplantation mouse embryos
Giaccari C, Cecere F, Pagano A et al. · Epigenetics & chromatin 2026 · PMID 41998711 · doi:10.1186/s13072-026-00674-1
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 GSE316549_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 PRJNA1403374 and SRA study SRP662682. Searching any of these in the dataset finder brings you back here.

Study design
19 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 9 samples read as cases, 10 as controls.

How we read this: Read from 19 sample titles: 19 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
Datasets on a similar topic

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