← BioTransfer GEO Dataset Finder
GEO series

Stem Cells in Muscle Contractures of Children with Cerebral Palsy have Decreased Myogenic and Increased Fibrotic Transcripts

GSE309114 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/06/18 Platform GPL24676
Summary
Development of muscle contractures are common in Cerebral palsy (CP) and characterized by high muscle stiffness that limits function and mobility. The state of the cell types within muscle, particularly muscle stem cells (MuSCs) and fibro-adipogenic progenitors (FAPs), are largely unknown. The aim of this study was to leverage single cell RNA sequencing technology to determine how specific cell types are altered in contracture. CP MuSCs demonstrated significant upregulation of fibrotic genes (ACTA2) and down regulation of myogenic genes (MYF5) compared to typically developing MuSCs. The most dramatically up-regulated genes in FAPs in CP were also major fibrotic components (COL1A1). Interacting signals between FAPs, MuSCs, and immune cells, such as TNF signaling between macrophages and FAPs, were identified that support contracture progression. The study reveals specific genes and signals as therapeutic targets to reduce muscle contracture in children with CP.
Published in
Single cell analysis of muscle contracture in cerebral palsy reveals profibrotic and antimyogenic stem cell populations with altered cell-cell interactions
Stewart MW, Hu LY, Loomis T et al. · American journal of physiology. Cell physiology 2026 · PMID 42021719 · doi:10.1152/ajpcell.00808.2025
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE309114_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1333979. 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.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq 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.