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Neural stem cells epigenomes and fate bias are temporally coordinated during corticogenesis [scRNA-seq]

GSE292318 Mus musculus (mouse) Single-cell RNA-seq 10 samples Submitted 2026/06/10 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 10 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
10 samples: 5 conditions, mostly in duplicateGroups 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
Neural stem cell epigenomes and fate bias are temporally coordinated during mouse cortical developmentGenes & development · 2026
Summary (written by the submitters)
The cerebral cortex orchestrates complex cognitive functions, yet how its distinct temporal lineages are molecularly patterned during development remains unresolved. Here, we integrate single-cell transcriptomics and chromatin accessibility, together with genome-wide profiling of DNA methylation and 3D chromosomal contact across mouse corticogenesis (E13–E18) to elucidate cell fate transitions.
Read the full summary ↓
We reveal using metacell flow analysis that neural stem cells (NSC) progressively shift from an intermediate progenitor–biased state toward an astrocytic lineage and that his process is accompanied with DNA methylation programming and chromosomal insulation changes. A model integrating transcription factor motif affinities with epigenetic features, identifies key regulators of cis-regulatory element (CRE) activation. In vivo reporter assays further decouple the intrinsic regulatory potential of CREs from context-dependent synergistic activation. Collectively, our findings uncover temporal epigenomic reprogramming that underlies the evolving differentiation potential of NSC, providing insights into the intrinsic and extrinsic mechanisms that pattern cortical lineages.
Published in
Neural stem cell epigenomes and fate bias are temporally coordinated during mouse cortical development
Shapira Y, Noack F, Vangelisti S et al. · Genes & development 2026 · PMID 42020311 · doi:10.1101/gad.353090.125
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 GSE292318_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1237903 and SRA study SRP571422. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
scRNA-seq in E13 somatosensory mouse cortex ×2 scRNA-seq in E15 somatosensory mouse cortex ×2 scRNA-seq in E16 somatosensory mouse cortex ×2 scRNA-seq in E17 somatosensory mouse cortex ×2 scRNA-seq in E18 somatosensory mouse cortex ×2

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 10 sample titles; they account for 10 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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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.