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Modulating MyoD1 dosage activates alternate cell fate beyond myogenic differentiation [ATAC-seq]

GSE309864 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2026/06/03 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 16 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
16 samples: 4 × C2C12 cells, iMyoD1, no differentiation, dox treatment, biol vs 4 × C2C12 cells, iMyoD1, no differentiation, untreated, biol vs 4 × C2C12 cells, iMyoD1, 24 h serum starvation, dox treatment, biol vs 4 × C2C12 cells, iMyoD1, 24 h serum starvation, untreated, biolGroups 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.
Summary (written by the submitters)
The study investigates how MyoD1 dosage controls myogenic cell fate, employing bulk RNA-seq, ATAC-seq, and CUT&RUN. We determined genome-wide transcriptional, chromatin accessibility, and MyoD1 binding profiles in C2C12 myoblasts expressing endogenous Halo-tagged MyoD1 or doxycycline-inducible Halo–MyoD1, under growth and differentiation conditions with low or high MyoD1 dosage.
This dataset
Open GSE309864 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →
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.

Series matrix ↓
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 GSE309864_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1363908 and SRA study SRP644464. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × C2C12 cells, iMyoD1, no differentiation, dox treatment, biol vs 4 × C2C12 cells, iMyoD1, no differentiation, untreated, biol vs 4 × C2C12 cells, iMyoD1, 24 h serum starvation, dox treatment, biol vs 4 × C2C12 cells, iMyoD1, 24 h serum starvation, untreated, biol

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
Datasets on a similar topic

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