<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE309nnn/GSE309906/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309906</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single-cell RNA sequencing of stem cell–like memory T (Tscm) cells from rheumatoid arthritis patients and healthy controls</name><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.</description><dates><publication>2026/06/18</publication></dates><accession>GSE309906</accession><cross_references><GSM>GSM9284694</GSM><GSM>GSM9284693</GSM><GSM>GSM9284692</GSM><GSM>GSM9284691</GSM><GSM>GSM9284687</GSM><GSM>GSM9284686</GSM><GSM>GSM9284685</GSM><GSM>GSM9284695</GSM><GSM>GSM9284689</GSM><GSM>GSM9284688</GSM><GSM>GSM9284690</GSM><GPL>24676</GPL><GSE>309906</GSE><taxon>Homo sapiens</taxon><PMID>[42309459]</PMID></cross_references></HashMap>