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Temporal Control of Mammalian Cortical Neurogenesis by m6A Methylation

GSE99017 Homo sapiens (human) DNA methylation 15 samples Submitted 2017/09/28 Platform GPL15520Platform GPL16417Platform GPL21290
At a glance

DNA methylation · human · 15 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
15 samples: 15 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
N6-methyladenosine (m6A), installed by the Mettl3/Mettl14 methyltransferase complex, is the most prevalent internal mRNA modification. Whether m6A regulates mammalian brain development is unknown. Here we show that Mettl14 deletion in the embryonic mouse brain diminishes m6A levels, prolongs cell cycle of radial glia cells, and extends cortical neurogenesis into postnatal stages.
Read the full summary ↓
Mettl3 knockdown also prolongs neural progenitor cell cycle and promotes radial glia cell maintenance. m6A-sequencing of the embryonic mouse cortex reveals enrichment of mRNAs related to transcription factors, cell cycle and neuron differentiation, and Mettl14 deletion attenuates their decay. Notably, Mettl14-/- radial glia cells precociously express neuronal proteins. Further analysis uncovers previously unappreciated transcriptional pre-patterning in cortical neural stem cells. Comparison of m6A-mRNA landscapes between mouse and human cortical neural progenitors identifies human-specific tagging of transcripts related to epigenetic regulation and brain disorder risk genes. Our study reveals an epitranscriptomic mechanism in heightened transcriptional coordination during mammalian cortical neurogenesis.
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE99017_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA387009 and SRA study SRP107200. Searching any of these in the dataset finder brings you back here.

Study design
15 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 15 sample titles: 15 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
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