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YTHDF3 facilitates translation and decay of the N6-methyladenosine-modified RNA

GSE86214 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 25 samples Submitted 2016/09/15 Platform GPL20301Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 25 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
25 samples: 22 distinct titles, 2 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 abundant internal modification in eukaryotic messenger RNAs (mRNAs), and plays important roles in cell differentiation and organism development. It regulates multiple steps throughout the RNA life cycle including RNA processing, translation, and metabolism, via the recognition by selective binding proteins.
Read the full summary ↓
In cytoplasm, m6A binding protein YTHDF1 facilitates translation of m6A-modified mRNAs, and YTHDF2 accelerates the decay of m6A-modified transcripts. The biological function of YTHDF3, another cytoplasmic m6A binder of the YTH domain family, remains unknown. Here, we report that YTHDF3 promotes protein synthesis in synergy with YTHDF1, and affects methylated mRNA decay mediated by YTHDF2. Cells deficient in all of YTHDF proteins experience the most dramatic accumulation of the m6A-methylated transcripts. These results indicate that in cytoplasm, YTHDF proteins act in an integrated and cooperative network to accelerate metabolism of m6A-modified mRNAs. The combinative and dynamic nature of YTHDF proteins may collectively impact fundamental biological processes and diseases related to m6A RNA methylation.
This dataset
Open GSE86214 in finder → Find more human ChIP / ATAC / CUT&Tag 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 GSE86214_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA340948 and SRA study SRP083699. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 28106072) ↗
Study design
22 distinct titles, 2 of them repeated
YTHDF3-PAR-CLIP ×3 YTHDF3-RIP-IP ×2

How we read this: Read from 25 sample titles: 22 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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