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N6-methyladenosine-Mediated Nuclear Export of Messenger RNA

GSE74397 Homo sapiens (human) RNA-seq (gene expression) 38 samples Submitted 2017/10/12 Platform GPL13112Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 38 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
38 samples: 31 distinct titles, 7 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
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)
N6-methyladenosine (m6A) is the most common internal modification in eukaryotic messenger RNA (mRNA). The effects of this reversible cheimcal modification are mediated in part by methyl-specific RNA binding protein 'readers' of the YTH family. In this study we present the function of YTHDC1 (YT521) in promoting the export of mRNA from the nucleus to the cytoplasm. Additionally, we identify a role for YTHDC1 in exon retention in mouse embryonic stem cells (mESCs).
This dataset
Open GSE74397 in finder → Find more 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 GSE74397_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 PRJNA300279 and SRA study SRP065329. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 28984244) ↗
Study design
31 distinct titles, 7 of them repeated
YTHDC1 PAR-CLIP ×2 siControl Input ×2 siYTHDC1 Input ×2 siControl NXF1 RIP ×2 siControl SRSF3 RIP ×2 siYTHDC1 NXF1 RIP ×2 siYTHDC1 SRSF3 RIP ×2

How we read this: Read from 38 sample titles: 31 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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