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Extensive Crosstalk between BMP and Notch Signaling Pathways in Activated Adult Muscle Stem Cells [RNA-seq III]

GSE339586 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/07/22 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 24 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
24 samples: 8 conditions, mostly in triplicateGroups 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
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 GSE339586_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1499245 and SRA study SRP720449. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
MuSC RNA-seq III control 1h biol ×3 MuSC RNA-seq III BMP6 1h biol ×3 MuSC RNA-seq III BMP6+DAPT 1h biol ×3 MuSC RNA-seq III BMP6+CHX 1h biol ×3 MuSC RNA-seq III control 3h biol ×3 MuSC RNA-seq III BMP6 3h biol ×3 MuSC RNA-seq III BMP6+DAPT 3h biol ×3 MuSC RNA-seq III BMP6+CHX 3h biol ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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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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.