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Epigenetic and genetic changes during mouse hematopoietic stem cell aging [Bisulfite-Seq]

GSE47815 Mus musculus (mouse) DNA methylation 13 samples Submitted 2014/04/30 Platform GPL13112
At a glance

DNA methylation · mouse · 13 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
13 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)
To investigate the global DNA methylation changes in mouse hematopoietic stem cell aging, we performed whole-genome bisulfite sequencing (WGBS). We generated 1,494 million (4mo HSCs), and 1,493 million (24mo HSCs) raw reads; about 82.6% and 84.3%, respectively, were successfully aligned to either strand of the reference genome (mm9). Of all the cytosines present in the reference genome sequence, about 93% of Cs and 99% of CGs were covered in both datasets, with an average coverage of 46-fold (4mo) and 50-fold (24mo).
Read the full summary ↓
In contrast to the age-associated hypomethylation observed in studies of somatic cells, mentioned above, HSCs showed an increase of methylation with age. The average methylation level over all 16 million covered CpGs increased from 83.5% in young (4mo) HSC to 84.6% in old (24mo) HSC. We observed a total of 448,166 differentially methylated CpGs (DMCs), defined as those having a 20% or more difference in methylation ratio, of which 38.5% (172,609) were hypomethylated (hypo-DMCs) and 61.5% (275,557) were hypermethylated (hyper-DMCs) with aging. For different genomic features, a slightly greater DNA methylation ratio increase was observed for the gene body, LINEs and SINEs, while CGIs and promoters showed balanced increases and decreases. Localization analysis of DMCs indicates that DNA encoding for ribosome RNA (rDNA) is primarily a hotspot for hypo-DMCs, while promoters without CpG islands, CpG island shores and LINE repetitive elements exhibit both hypo- and hyper-DMCs.
This dataset
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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 GSE47815_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 PRJNA208011 and SRA study SRP025152. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 24792119) ↗
Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

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