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Extensive Crosstalk between BMP and Notch Signaling Pathways in Activated Adult Muscle Stem Cells [CUT&Tag]

GSE305745 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 14 samples Submitted 2025/09/17 Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 14 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
14 samples: 6 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.
Summary (written by the submitters)
Muscle stem cells (MuSC) are the cellular source for generation and regeneration of skeletal muscle. To ensure correct muscle growth, MuSC self-renewal and differentiation need to be tightly regulated. Several signaling systems have been implicated in the control of MuSCs, among them Bone Morphogenetic Proteins (BMPs) and Notch, both of which promote MuSC proliferation and suppress differentiation.
Read the full summary ↓
To better understand the mechanisms of function and the target genes regulated by BMP signaling in myogenesis, we investigated the transcriptional responses of adult mouse MuSCs to BMP6/4 using RNA-sequencing. BMP6/4-stimulation of freshly isolated MuSCs for one hour rapidly increased the expression of classical BMP target genes like Id1 and strongly induced expression of genes of the Notch pathway (Hes1, Hey1, Lfng, Snai1). In parallel, using Cleavage Under Targets and Tagmentation (CUT&Tag), we generated whole-genome binding profiles for the BMP pathway effectors pSMAD1/5/9 and SMAD4 and detected binding in promoters and potential regulatory elements of BMP targets and Notch pathway genes (Hes1, Hey1, Lfng, Snai1) indicating that BMP signaling directly influences Notch and that crosstalk between the two pathways regulates myogenesis.
This dataset
Open GSE305745 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 GSE305745_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 PRJNA1307544 and SRA study SRP609735. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in duplicate
MuSC CUT&Tag BMP6 H3K27ac biol ×2 MuSC CUT&Tag BMP6 SMAD4 biol ×2 MuSC CUT&Tag BMP6 pSMAD1/5/9 biol ×2 MuSC CUT&Tag control H3K27ac biol ×2 MuSC CUT&Tag control SMAD4 biol ×2 MuSC CUT&Tag control pSMAD1/5/9 biol ×2 MuSC CUT&Tag BMP6 negative control biol ×1 MuSC CUT&Tag control negative control biol ×1

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 14 sample titles; they account for 12 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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