GEO series

Selective chemical labeling reveals intragenic enrichment of 5-hydroxymethylcytosine in mouse cerebellum

GSE25398 Mus musculus (mouse) DNA methylation 13 samples Submitted 2010/12/12 Platform GPL9250

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)

5-Methylcytosine (5-mC) is an important DNA modification found in eukaryotes that impacts gene regulation and disease pathogenesis. Recently, 5-hydroxymethylcytosine (5-hmC), another form of DNA modification, has been identified in substantial amounts in certain mammalian cell types; however, its roles as well as its distribution in mammalian genomes are unknown.

Read the full summary ↓

Here we present a selective chemical labeling method for 5-hmC by utilizing T4 bacteriophage BGT-glucosyltransferase to transfer an engineered glucose moiety containing an azide group onto the hydroxyl group of 5-hmC, which in turn can chemically incorporate a biotin group for detection, affinity enrichment, and sequencing of 5-hmC in mammalian genomes. Using this highly effective method, we demonstrate that 5-hmC is present in human cell lines beyond those previously recognized. We also find a gene expression level-dependent enrichment of intragenic 5-hmC in mouse cerebellum and an age-dependent acquisition of this modification in specific gene bodies linked to neurodegenerative disorders

This dataset

Open GSE25398 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 GSE25398_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 PRJNA134133 and SRA study SRP004445. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21151123) ↗

Samples in this study

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

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