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GENERATION OF MOUSE NEOCORTICAL ORGANOIDS TO MODEL THE IMPACT OF CIS-REGULATORY VARIATION ON CORTICAL NEUROGENESIS ACROSS EVOLUTIONARY TIMESCALES (scATAC-Seq)

GSE268331 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2024/10/20 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 2 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
2 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)
Natural selection has shaped the gene regulatory networks that orchestrate the development of the neocortex, leading to diverse neocortical structure and function across mammals, but the molecular and cellular mechanisms driving phenotypic changes have proven difficult to characterize. Here, we develop a reproducible protocol to generate cortical organoids from mouse epiblast stem cells that enable in depth mechanistic studies of cortical developmental in vitro.
Read the full summary ↓
Cortical organoids develop with similar kinetics to the mouse cortex in vivo, recapitulate the cellular diversity present in the embryonic neocortex, and undergo relatively rapid maturation compared to human organoids. We generated cortical organoids from F1 hybrid epiblast stem cell lines from crosses between standard laboratory mice (C57Bl/6J) and four wild-derived inbred mouse strains from distinct sub-species that span ~1 million years of evolutionary divergence. Using scRNA-seq and allele-specific expression analysis we identified hundreds of genes that exhibit differential cis-regulation during cortical neurogenesis. These experimental methods and cellular resources represent a powerful new platform for investigating gene regulatory mechanisms across evolutionary timescales.
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 GSE268331_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 PRJNA1116225 and SRA study SRP509812. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

Datasets on a similar topic

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.