<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/GSE317nnn/GSE317456/</Other></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type> Genome binding/occupancy profiling by high throughput sequencing</gds_type><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE317456</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single-cell multiomics reveals naïve CD4⁺ T-cell dysregulation in treatment refractory rheumatoid arthritis</name><description>Here we determine single-nuclei transcriptional and chromatin landscapes using 10x Genomics Epi Multiome assay on primary CD4+ T-cells isolated from treatment-naïve early RA and refractory (defined as per EULAR definition of difficult-to-treat RA) RA patients. This approach enabled construction of an integrated map of subset-specific immunopathology, comparing rRA with eRA - two opposing ends of the RA disease continuum - to uncover mechanisms underlying treatment refractory disease and inform future therapeutic strategies.</description><dates><publication>2026/09/14</publication></dates><accession>GSE317456</accession><cross_references><GSM>GSM9472504</GSM><GSM>GSM9472502</GSM><GSM>GSM9472503</GSM><GSM>GSM9472501</GSM><GPL>24676</GPL><GSE>317456</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>