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DNA methylation dynamics of the human pre-implantation embryo

GSE51239 Mus musculus (mouse) DNA methylation 48 samples Submitted 2014/07/23 Platform GPL11002Platform GPL10999
At a glance

DNA methylation · mouse · 48 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
48 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)
We present genome-scale maps of DNA methylation in early human development and perform comparative analysis to mouse that confirm a conserved global erasure of the paternal genome. We find that while many global features of the early embryo are consistent between the two species, the target sequences in which DNA methylation is maintained are distinct.
Read the full summary ↓
Repetitive elements show a broader range of class specific behaviors in the human embryo and a larger degree of methylation escape in human sperm. We identify thousands of differentially methylated regions (DMRs) that are likely of maternal origin and found that these gamete contributed DMRs are far more species-specific than expected given the conservation of canonical imprint control regions (ICRs). Finally, we extended our studies to the derivation of new human embryonic stem cell (ESC) lines and found notable divergences in DNA methylation signatures from those found in the human embryo and different mouse ESC derivation conditions.
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 GSE51239_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 PRJNA221793 and SRA study SRP030612. Searching any of these in the dataset finder brings you back here.

Samples in this study

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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.