← BioTransfer GEO Dataset Finder
GEO series

mRNA transcription in skeletal muscle drives growth and determines nuclear accretion

GSE312647 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 7 samples Submitted 2025/12/09 Platform GPL28457
Summary
Multinucleation of skeletal muscle cells (myofibers) is a determinant of size and fundamental for function. While it is established that myofibers need to accrue adequate numbers of nuclei for optimal growth, the molecular circuitry linking myonuclei to growth and how myofibers signal the need for additional nuclei remains unknown. We found that growth is still possible after restriction of nuclear content in myofibers and this was associated with increased levels of RNA Polymerase II (Polr2a) leading to elevated mRNA content. Through development of a genetic mouse model where endogenous Polr2a is upregulated in myofibers, we established that increased transcriptional output is sufficient to drive functional growth of myofibers. Notably, we discovered that Polr2a overexpression curtails the need of additional nuclei for myofiber growth. These data highlight a previously neglected mechanism for functional muscle growth through increasing Polr2a-mediated transcription from the vast numbers of nuclei within myofibers, which could be leveraged to combat muscle wasting conditions.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE312647_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 7 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1375650 and SRA study SRP651708. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 7 more — browse all 7 samples with per-sample file links →

Similar datasets

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.