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N6-methyladenosine RNA modification regulates embryonic neural stem cell self-renewal through histone modifications.

GSE104686 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 35 samples Submitted 2017/11/21 Platform GPL9185
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 35 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
Mus musculus (mouse)
Samples
35 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)
Internal N6-methyladenosine (m6A) modification is widespread in messenger RNAs(mRNAs) and catalyzed by heterodimers of methyltransferase-like protein 3 (Mettl3) andMettl14. To understand the role of m6A in development, we deleted Mettl14 in embryonicneural stem cells (NSCs) in a mouse model. Phenotypically, NSCs lacking Mettl14 displaymarkedly decreased proliferation and premature differentiation, suggesting m6Amodification enhances NSC self-renewal.
Read the full summary ↓
Decreased NSC pool led to decreased numberlate-born neurons during cortical neurogenesis. Mechanistically, we discovered a genomewide increase in specific histone modifications in Mettl14 knockout vs. control NSCs. Thesechanges correlated with altered gene expression and observed cellular phenotypes,suggesting their functional significance. Finally, we showed that m6A regulates histonemodification in part by destabilizing transcripts encoding histone-modifying enzymes. Ourstudy demonstrated an essential role of m6A in development and revealed m6A-regulatedhistone modifications as a novel gene regulatory mechanism in mammalian cells.
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 GSE104686_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA413499 and SRA study SRP119514. Searching any of these in the dataset finder brings you back here.

Samples in this study

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