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Developmental gene expression patterns driving species-specific cortical features

GSE324846 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 17 samples Submitted 2026/03/18 Platform GPL24247Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 17 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
17 samples: 17 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; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Developmental gene expression patterns driving species-specific cortical featuresNature · 2026
Summary (written by the submitters)
The cerebral cortex shows species-specific variations in size and organization, likely accounting for distinct behavioral abilities. These structural differences may reflect evolutionary changes in the developmental expression of shared genes. To investigate this possibility, we used machine vision to identify and compare cell-type-specific gene expression patterns in the developing mouse and human neocortex, and in human cortical organoids.
Read the full summary ↓
This identified genes with evolutionary conserved/divergent transcriptional regulation, revealing species-specific cyto-temporal gene expression patterns. Among such genes, the transcription factor JUNB showed mutually exclusive expression in human progenitors and mouse neurons. Through cell-type-specific gain- and loss-of-function experiments in mice and human organoids, we show that JUNB bidirectionally controls human cortical features, including progenitor proliferation rates, neuronal production timing, and total neuronal output. We identify IRF1 as a human RG-specific regulator that, when expressed in mouse RG, activates JUNB and recruits human-like gene regulatory networks, demonstrating cross-species activation of poised developmental programs. Together, these findings reveal how cyto-temporal regulation of shared genes drives species-specific cortical features and provides a molecular framework to understand and manipulate these evolutionary programs.
Published in
Developmental gene expression patterns driving species-specific cortical features
Javed A, Gómez L, Pravata V et al. · Nature 2026 · PMID 42129570 · doi:10.1038/s41586-026-10491-x
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 GSE324846_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 PRJNA1437161 and SRA study SRP683562. Searching any of these in the dataset finder brings you back here.

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

Supports a case/control comparison: 7 samples read as cases, 5 as controls.

How we read this: Read from 17 sample titles: 17 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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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.