<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/GSE329nnn/GSE329266/</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 array</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329266</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Nanostring nCounter Mouse PanCancer Immune Profiling analysis of murine tumor tissues</name><description>The immunosuppressive tumor microenvironment (TME) contributes to resistance against checkpoint inhibitors. However, the precise factors that shape the immune contexture of the TME remain elusive. Here, we report that Single-Stranded DNA Binding Protein 4 (SSBP4), a previously uncharacterized protein, suppresses intratumoral T-cell activation by promoting excessive cholesteryl ester production in tumor cells. Overexpression of SSBP4 in tumor cells decreased T-cell infiltration and accelerated tumor growth in murine syngeneic tumor models. Conversely, genetic ablation of SSBP4 in tumor cells enhanced T-cell infiltration and inhibited tumor growth in a CD8+ T cell–-dependent manner. Mechanistically, SSBP4 upregulated cholesterol synthesis genes, leading to increased production of cholesterol and cholesteryl esters in tumor cells, which directly suppressed CD8+ T-cell activation and function. Furthermore, SSBP4 abrogation significantly improved the efficacy of anti-PD-1 treatment. Thus, in this study, we have identified SSBP4 as a cancer cell–intrinsic regulator of cholesterol metabolism that contributes to tumor immune evasion. Immune-related gene expression was quantified using the Nanostring Mouse PanCancer Immune Profiling panel. Total RNA was isolated from the C57BL/6 SSBP4-wildtype or knockout B16F10 tumors on Day 15 post tumor inoculation. RNA was hybridized, scanned on a Nanostring Digital Analyzer, and raw RCC files were generated. Raw count data were processed and normalized in nSolver or ROSALIND software for downstream immune transcriptome profiling.</description><dates><publication>2026/04/30</publication></dates><accession>GSE329266</accession><cross_references><GSM>GSM9700411</GSM><GSM>GSM9700410</GSM><GSM>GSM9700413</GSM><GSM>GSM9700412</GSM><GSM>GSM9700404</GSM><GSM>GSM9700406</GSM><GSM>GSM9700405</GSM><GSM>GSM9700408</GSM><GSM>GSM9700407</GSM><GSM>GSM9700409</GSM><GPL>25652</GPL><GSE>329266</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>