<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/GSE326nnn/GSE326854/</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=GSE326854</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Gene expression profile at single cell level of different phenotypic tumors derived from human non-muscle invasive bladder carcinoma cell lines</name><description>The cellular states of bladder carcinoma change dynamically as tumor recurrence evolves under Gemcitabine treatment, facilitating phenotypic transitions. Thus, we employed single-cell RNA sequencing (scRNA-seq) to gain a high-resolution view of the cellular landscape in bladder carcinoma.</description><dates><publication>2026/04/07</publication></dates><accession>GSE326854</accession><cross_references><GSM>GSM9641310</GSM><GSM>GSM9641315</GSM><GSM>GSM9641312</GSM><GSM>GSM9641311</GSM><GSM>GSM9641314</GSM><GSM>GSM9641313</GSM><GPL>24676</GPL><GSE>326854</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>