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m6a methylation drives IMP1 regulation during human neuronal differentiation [RNA-seq]

GSE203568 Homo sapiens (human) DNA methylation 12 samples Submitted 2024/04/13 Platform GPL20301
At a glance

DNA methylation · human · 12 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
12 samples: 3 × NPC_IMP1_KD vs 3 × NPC_CTRL_KD vs 3 × Neuron_IMP1_KD vs 3 × Neuron_CTRL_KDGroups 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.
Paper
m6a methylation orchestrates IMP1 regulation of microtubules during human neuronal differentiationNature communications · 2024
Summary (written by the submitters)
Human neurodevelopment requires differentiating neurons to establish large networks of connections in a highly stereotyped manner. Neuronal differentiation in particular requires RNA-binding proteins to spatiotemporally regulate thousands of different mRNAs. Yet how these proteins precisely relate to neuronal development and coordinate the expression of functionally coherent genes in a cell type specific manner is only partially understood.
Read the full summary ↓
To address this, we sought to clarify how the paradigmatic RNA-binding protein IMP1/IGF2BP1, an essential developmental factor, selects and regulates its RNA targets transcriptome-wide during the differentiation of human pluripotent stem cell-derived neural precursor cells to their neuronal counterparts. We used a combination of systemic and molecular analyses to show that IMP1 directly binds to and regulates the expression of a large sets of mRNAs.
Published in
m6a methylation orchestrates IMP1 regulation of microtubules during human neuronal differentiation
Klein P, Petrić Howe M, Harley J et al. · Nature communications 2024 · PMID 38844464 · doi:10.1038/s41467-024-49139-7
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 GSE203568_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 beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA841468 and SRA study SRP376549. Searching any of these in the dataset finder brings you back here.

Study design
3 × NPC_IMP1_KD vs 3 × NPC_CTRL_KD vs 3 × Neuron_IMP1_KD vs 3 × Neuron_CTRL_KD

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. 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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