{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE329nnn/GSE329266/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Mus musculus"],"gds_type":["Expression profiling by array"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329266"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Nanostring nCounter Mouse PanCancer Immune Profiling analysis of murine tumor tissues","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.","dates":{"publication":"2026/04/30"},"accession":"GSE329266","cross_references":{"GSM":["GSM9700411","GSM9700410","GSM9700413","GSM9700412","GSM9700404","GSM9700406","GSM9700405","GSM9700408","GSM9700407","GSM9700409"],"GPL":["25652"],"GSE":["329266"],"taxon":["Mus musculus"]}}