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Single-cell RNA sequencing reveals cellular and molecular heterogeneity and distinct immunosuppressive traits in the MMTV-R26Met syngeneic TNBC model

GSE306716 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2026/02/22 Platform GPL19057Platform GPL30172
Summary
Triple-negative breast cancer (TNBC) is an aggressive and heterogeneous subtype of breast cancer with limited targeted therapies. To model TNBC heterogeneity in an immunocompetent setting, we established syngeneic grafts derived from the TNBC MMTV-R26Met genetically engineered mouse model, which preserve both the molecular identity and immune landscape of primary tumors. These grafts recapitulate features of distinct TNBC subtypes, providing a physiologically relevant preclinical platform to investigate tumor–immune interactions and therapy response. Here, we performed single-cell RNA sequencing (scRNA-seq) on four syngeneic tumors (S34, S35, S37, and S39), generating transcriptomic profiles from 22,046 cells. Clustering identified cell populations spanning malignant epithelial, stromal, endothelial, and diverse immune subsets. Tumors displayed subtype-specific traits, including oxidative phosphorylation programs with N2-like neutrophils and epithelial–mesenchymal transition with M2-like macrophages. Despite overall low T cell infiltration, inhibitory receptors and myeloid checkpoint ligands were broadly expressed, highlighting strongly immunosuppressive microenvironments. These datasets provide a resource for dissecting TNBC subtype heterogeneity in an immunocompetent context and offer a preclinical framework to explore mechanisms of immune evasion and therapeutic response.
Published in
Multi-omics profiling uncovers immune-molecular clusters with distinct chemo-immunotherapeutic vulnerabilities in a mouse model of triple-negative breast cancer
Castellanet O, Monatte J, Corvaisier N et al. · Molecular cancer 2026 · PMID 41520125 · doi:10.1186/s12943-025-02547-9
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Direct links to NCBI, no account and no request form: the whole study as GSE306716_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1311965 and SRA study SRP613904. Searching any of these in the dataset finder brings you back here.

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