GEO series

Intragenic DNA methylation prevents cryptic transcription initiations on gene bodies [DECAP-seq]

GSE72854 Mus musculus (mouse) DNA methylation 10 samples Submitted 2017/02/25 Platform GPL19057

At a glance

DNA methylation · mouse · 10 samples

What it is: DNA methylationChemical marks on DNA that help switch genes on or off.
Organism: Mus musculus (mouse)
Samples: 10 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)

In mammals, DNA methylation occurs mainly at 5mC of CpG dinucleotides. The methylation on the promoter leads to the suppression of gene expression, while the functional role of gene body DNA methylation in highly expressed genes has yet to be clarified. Here, we show that the Dnmt3b-dependent intragenic DNA methylation protects the gene body from RNA Polymerase II (RNA Pol II) spurious entry and cryptic transcription initiation.

Read the full summary ↓

Using different genome-wide approaches, we demonstrate that loss of Dnmt3b leads to an increase of the RNA Pol II engagement within gene bodies and spurious intragenic transcription initiation events. Furthermore, inhibition of RNA Pol II spurious entry depends on the enzymatic activity of the Dnmt3b recruited by H3K36me3. Thus, elongating RNA Pol II triggers an epigenetic crosstalk that involves SetD2, H3K36me3, Dnmt3b, and DNA methylation to ensure gene transcription initiation fidelity with implications for intragenic hypomethylation in cancer.

This dataset

Open GSE72854 in finder → Find more mouse RNA-seq 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 GSE72854_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 PRJNA295211 and SRA study SRP063530. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 28225755) ↗

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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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.