{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE309nnn/GSE309906/"]},"type":"primary"},"statusCodeValue":200,"statusCode":"OK"}],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Homo sapiens"],"gds_type":["Expression profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309906"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Single-cell RNA sequencing of stem cell–like memory T (Tscm) cells from rheumatoid arthritis patients and healthy controls","description":"Stem cell–like memory T (Tscm) cells are a subset of T cells with self-renewal capacity and multipotent differentiation potential upon antigen stimulation. Tscm cells have been implicated in the pathogenesis of autoimmune diseases. In this study, we performed single-cell RNA sequencing using the 10x Genomics platform on Tscm cells enriched by fluorescence-activated cell sorting (FACS). Our objective was to characterize the transcriptomic signatures of Tscm cells in patients with rheumatoid arthritis (RA) and to identify disease-specific features that may contribute to RA pathogenesis and progression.","dates":{"publication":"2026/06/18"},"accession":"GSE309906","cross_references":{"GSM":["GSM9284694","GSM9284693","GSM9284692","GSM9284691","GSM9284687","GSM9284686","GSM9284685","GSM9284695","GSM9284689","GSM9284688","GSM9284690"],"GPL":["24676"],"GSE":["309906"],"taxon":["Homo sapiens"],"PMID":["[42309459]"]}}