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m6A mRNA modifications are deposited in nascent pre-mRNA and are not required for splicing but do specify cytoplasmic turnover

GSE86336 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2017/06/23 Platform GPL13112Platform GPL11154
At a glance

RNA-seq (gene expression) · mouse · 20 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
20 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)
HeLa cell chromatin associated nascent pre-mRNA (CA-RNA) contains many unspliced introns and m6A in exons, but very rarely in introns. m6A methylation of exons in CA-RNA frequently occur before splicing of exons and is essentially completed upon the release of mRNA into the nucleoplasm. m6A modifications are virtually the same in the newly synthesized CA-RNA, nucleoplasmic mRNA in transit and in the steady state cytoplasmic mRNA.
Read the full summary ↓
This result suggests quantitatively little cytoplasmic methylation or demethylation. Only ~10% of m6As in CA-RNA are within 50 nucleotides of 5' or 3' splice sites arguing against a common splicing function of methylation. Both HeLa and mouse embryonic stem cell mRNAs showed a distinct increase of m6As, some in clusters, in short-lived mRNAs. Thus there is an unanticipated observation that m6A is added to exons presumably coincident with or soon after exon definition in nascent pre-mRNA, linking nuclear methylation to cytoplasmic mRNA stability.
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 GSE86336_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA341466 and SRA study SRP083953. Searching any of these in the dataset finder brings you back here.

Samples in this study

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