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N6-methyladenosine (m6A) recruits and repels proteins to regulate mRNA homeostasis

GSE98856 Homo sapiens (human) RNA-seq (gene expression) 25 samples Submitted 2017/08/21 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 25 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
Homo sapiens (human)
Samples
25 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)
RNA modifications are integral to regulation of RNA metabolism. One such abundant mRNA modification is m6A, which impacts various aspects of RNA metabolism including splicing, transport and degradation. Current knowledge about proteins recruited to m6A to carry out these molecular processes is still limited. Here we describe a comprehensive and systematic mass spectrometry-based screening of m6A interactors in various cell types and species.
Read the full summary ↓
Amongst the main findings, we identified G3BP1 as a protein, which is repelled by m6A and which positively regulates mRNA stability in an m6A regulated manner. Furthermore, we identified FMR1 as a novel, RNA sequence context dependent m6A reader, thus revealing a connection between an mRNA modification and an autism spectrum disorder. Collectively, our data represents a rich resource for the community and sheds further light on the complex interplay between m6A, m6A interactors and mRNA homeostasis.
This dataset
Open GSE98856 in finder → Find more human 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 GSE98856_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: 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 PRJNA386460 and SRA study SRP106954. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 28869609) ↗
Samples in this study

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+ 25 more — browse all 25 samples with per-sample file links →

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