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Conversion of Committed Mouse Myoblasts into Muscle Stem Cells Using Small Molecules [scRNA-Seq]

GSE295091 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2026/04/30 Platform GPL24247
Summary
Quiescent muscle stem cells, commonly known as satellite cells, are crucial for muscle repair and can convert into committed myoblasts capable of proliferation and differentiation upon in vitro culture. However, following prolonged propagation, myoblasts frequently lose myogenic differentiation capacity, limiting their utility in research and clinical applications. Here, we demonstrate that exposing committed mouse myoblasts to a small-molecule cocktail elicits their conversion into expandable and heterogeneous myogenic progenitor cells (MPCs), comprised of muscle stem, progenitor and differentiated cells. Utilizing a new dual-fluorescent reporter for Pax7 and MyoD, we demonstrate that the small molecules de-differentiate Pax7+/MyoD+ myoblasts into Pax7+/MyoD- satellite-like cells within days. This conversion is characterized by upregulation of signaling pathways associated with satellite cells including Notch, Calcitonin and EGFR. Accordingly, genetic ablation of Notch1-expressing cells abrogated MPC cultures but not committed myoblasts. Furthermore, a comparison with in vivo-derived freshly isolated and activated satellite cells through single-cell transcriptomics revealed that the stem cell subset in MPCs shares common features with both cell types, particularly with a sub-population of activated satellite cells. Collectively, our study presents a method to de-differentiate myoblasts into MPCs harboring satellite cell attributes in vitro, offering a new avenue for studying myogenesis and advancing muscle disease therapeutics.
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Direct links to NCBI, no account and no request form: the whole study as GSE295091_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1253447 and SRA study SRP580078. Searching any of these in the dataset finder brings you back here.

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