<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/GSE343nnn/GSE343966/</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=GSE343966</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single-Cell Transcriptomic Profiling of Immune Cells from Parental and EMP1-Deficient MB49 Bladder Tumors.</name><description>In this study, we employed a single-cell RNA sequencing (scRNA-seq) approach using the 10x Genomics platform to investigate the immune microenvironment of syngeneic mouse bladder tumors. Tumors were established in immunocompetent C57BL/6 mice using parental or EMP1-knockout MB49 bladder cancer cells. Tumor-infiltrating immune cells were isolated and profiled at single-cell resolution to define immune cell populations, transcriptional states, and functional programs within the tumor microenvironment. Comparative analyses were performed to determine how tumor-cell EMP1 expression influences immune cell composition, activation and exhaustion states, inflammatory signaling, and intercellular communication. This dataset provides a single-cell transcriptomic resource for investigating EMP1-mediated regulation of antitumor immunity in bladder cancer.</description><dates><publication>2026/08/20</publication></dates><accession>GSE343966</accession><cross_references><GSM>GSM9965743</GSM><GSM>GSM9965744</GSM><GPL>34290</GPL><GSE>343966</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>