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Active repression of muscle fate preserves neural lineage identity during cerebellum development

GSE330837 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 53 samples Submitted 2026/06/30 Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 53 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
53 samples: 53 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
Active repression of muscle fate preserves neural lineage identity during cerebellum developmentbioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Cell fate commitment is commonly thought to entail progressive restriction of developmental potential, enforced by passive, heterochromatin-based silencing of alternative lineage programs. Here we show that maintenance of neural identity during cerebellum development instead requires active repression of a starkly divergent fate by the TEAD–INSM1 transcriptional complex.
Read the full summary ↓
Loss of TEAD1/2 or INSM1 activates the myogenic master regulator Myod1, resulting in neural cells acquiring transcriptional, structural, and metabolic features of skeletal muscle cells. Deletion of Myod1 fully suppresses neural-to-muscle conversion while partially rescuing neural developmental defects. Our results uncover a latent alternative lineage during neurodevelopment and a surprising role for sequence-specific transcription factors in enforcing lineage boundaries, including those previously thought essentially unbreachable, with implications for understanding aberrant differentiation in disease contexts and cell-type evolution.
Published in
Active repression of muscle fate preserves neural lineage identity during cerebellum development
Shaikh NM, Thulabandu V, Inoue A et al. · bioRxiv : the preprint server for biology 2026 · PMID 42182376 · doi:10.64898/2026.05.13.725001
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 GSE330837_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 PRJNA1465771 and SRA study SRP700086. Searching any of these in the dataset finder brings you back here.

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

Supports a case/control comparison: 21 samples read as cases, 32 as controls.

How we read this: Read from 53 sample titles: 53 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

+ 13 more — browse all 53 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.