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Distinct 5-methylcytosine profiles in poly(A)RNA from mouse embryonic stem cells and the brain

GSE83432 Mus musculus (mouse) DNA methylation 12 samples Submitted 2016/12/09 Platform GPL18480
At a glance

DNA methylation · mouse · 12 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
12 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)
Background: Recent work identified and mapped a range of posttranscriptional modifications in mRNA, including methylation of the N6 and N1 positions in adenine, pseudouridylation and methylation of carbon 5 in cytosine (m5C).
Read the full summary ↓
However, knowledge about prevalence and transcriptome-wide distribution of m5C is still extremely limited and thus, studies in different cell types, tissues and organisms are needed to gain insight into possible functions of this modification and interactions with other regulatory processes Results: We carried out an unbiased global analysis of m5C in total and nuclear poly(A)RNA of embryonic stem cells (ESCs) and brain of the mouse. We show that there are intriguing differences in these samples and cell compartments with respect to degree of methylation, functional classification of methylated transcripts and position bias within the transcript. Specifically, we observe a pronounced accumulation of m5C sites in the vicinity of the translational start codon, depletion in coding sequences and mixed patterns of enrichment in the 3’UTR. Degree and pattern of methylation distinguish transcripts modified in both ESCs and brain from those methylated in either one of the samples. Furthermore, we observed significant enrichment of m5C in the vicinity of the transcriptional start site in lncRNAs. We also present data regarding correlations between m5C and N6-methyladenosine, miRNA target sites and binding sites of RNA binding proteins. Conclusion: Our study presents the first comprehensive picture of cytosine methylation in the mouse epitranscriptome. These data can serve as a basis for future studies of function and biological significance of m5C in mRNA in mammals.
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 GSE83432_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 PRJNA325895 and SRA study SRP076669. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

Datasets on a similar topic

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