GEO series

A unique regulatory phase of DNA methylation in the early mammalian embryo

GSE34864 Mus musculus (mouse) DNA methylation 76 samples Submitted 2012/03/28 Platform GPL11002

At a glance

DNA methylation · mouse · 76 samples

What it is: DNA methylationChemical marks on DNA that help switch genes on or off.
Organism: Mus musculus (mouse)
Samples: 76 samples
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)

DNA methylation is highly dynamic during mammalian embryogenesis. It is broadly accepted that the paternal genome is actively depleted of global cytosine methylation at fertilization, followed by passive depletion that reaches a minimum at the blastocyst stage. However, this model is based on limited data, and to date no base-resolution maps exist to support and refine it.

Read the full summary ↓

Here, we generated genome-scale DNA methylation maps in mouse gametes and through post-implantation embryogenesis. We find that the oocyte already exhibits global hypomethylation, most prominently at specific subfamilies of LINE-1 and LTR-containing retro-elements, which are disparate between gametes and resolve to lower methylation values in zygote. Surprisingly, the oocyte contributes a unique set of Differentially Methylated Regions (DMRs), including many CpG Island promoter regions, that are maintained in the early embryo but are lost at the onset of embryonic specification and absent in somatic cells. In contrast, sperm contributed methylation includes retrotransposons that become completely methylated after the blastocyst stage. Our data provide a complete genome-scale, base-resolution timeline of DNA methylation in the pre-specified embryo, when this epigenetic modification is most dynamic and before returning to the canonical somatic pattern.

This dataset

Open GSE34864 in finder → Find more mouse methylation 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 GSE34864_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 PRJNA150129 and SRA study SRP010119. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 22456710) ↗

Samples in this study

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+ 76 more — browse all 76 samples with per-sample file links →

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GSE331488 A global view of cell-type-specific temporal dynamics in mammalian aging [I] 771 samples shares mammalian
GSE331489 A global view of cell-type-specific temporal dynamics in mammalian aging [II] 725 samples shares mammalian

Search all mouse methylation 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.