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Comparative high density microarray analysis of global 5hmC patterns in mouse brain and liver following independent affinity based enrichment protocols.

GSE51577 Mus musculus (mouse) DNA methylation 9 samples Submitted 2013/12/01 Platform GPL17802
At a glance

DNA methylation · mouse · 9 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
9 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
On mouse tiled microarrays (GPL17802), we profile 5hmC in WT mouse livers and brains following fragment enrichment by one of three affinity based techniques: i- antibody (HmeDIP), ii- Chemical capture (hMeSeal) and iii-JBP-1 protein affinity (JBP). HmeDIP and hMeSeal both return similar patterns of 5hmC whilst JBP enriched patterns (carriedo out on brain only) resemble background noise.
Read the full summary ↓
5hmC is largely found to reside in the bodies of active genes as well as being enriched over enhancer and promoter proximal regions. WT C57BL/6 mice aged 30-32 days old at time of organ removal. Tissues taken and frozen in liquid nitrogen prior to DNA extraction.
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE51577_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA223533. Searching any of these in the dataset finder brings you back here.

Samples in this study

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