<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/GSE327nnn/GSE327496/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</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=GSE327496</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single-cell transcriptomic analysis of synovial tissues from aged mice</name><description>We employed a single‑cell RNA sequencing approach using the 10x Genomics platform to profile synovial tissues from aged (24‑month‑old) wilt-typt mice. This study aims to delineate cell‑type‑specific transcriptional changes in the synovium associated with aging, thereby providing insights into how aging reshapes the synovial cellular landscape and may contribute to the increased susceptibility to joint pathologies, such as osteoarthritis, in the elderly.</description><dates><publication>2026/04/14</publication></dates><accession>GSE327496</accession><cross_references><GSM>GSM9659754</GSM><GPL>21626</GPL><GSE>327496</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>