{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE334nnn/GSE334758/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Equus caballus"],"gds_type":["Expression profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE334758"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Oxygen-dependent transcriptional landscape of equine skeletal muscle derived cells.","description":"Growing interest in equine regenerative biology and oxygen-dependent muscle physiology has highlighted the need for reliable in vitro models that accurately reflect the behaviour of equine skeletal muscle cells. In this study, we established an equine skeletal muscle cell line derived from post-mortem tissue. We confirmed its myogenic identity using qPCR analysis of key myogenic regulators, including MYOD1, MYF5, MYOG, and PAX7. This cell system was then used to characterise transcriptional responses to differential oxygen conditions via whole-transcriptome profiling using next-generation sequencing (NGS). By exposing cultures to normoxia and controlled hypoxia (1% and 3% O₂) for defined time periods, we aimed to investigate how oxygen availability shapes the transcriptional landscape of equine skeletal muscle cells and to provide a robust platform for future studies on muscle adaptation, metabolism, and environmental stress responses.","dates":{"publication":"2026/07/01"},"accession":"GSE334758","cross_references":{"GSM":["GSM9796719","GSM9796718","GSM9796717","GSM9796716","GSM9796711","GSM9796722","GSM9796710","GSM9796721","GSM9796720","GSM9796726","GSM9796715","GSM9796714","GSM9796725","GSM9796713","GSM9796724","GSM9796723","GSM9796712"],"GPL":["26749"],"GSE":["334758"],"taxon":["Equus caballus"]}}