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Maintenance of metabolic homeostasis requires adaption of gene regulation to the cellular energy state via transcriptional regulators. Here, we identify a role of ceramide synthase (CerS) Schlank, a multiple transmembrane protein containing a catalytic lag1p motif and a homeodomain, which is poorly studied in CerSs, as a transcriptional regulator. ChIP experiments show that it binds promoter regions of lipases lipase3 and magro via its homeodomain. Mutation of nuclear localization site 2 (NLS2) within the homeodomain leads to loss of DNA binding and deregulated gene expression, and NLS2 mutants can no longer adjust the transcriptional response to changing lipid levels. This mechanism is conserved in mammalian CerS2 and emphasizes the importance of the CerS protein rather than ceramide synthesis. This study demonstrates a double role of CerS Schlank as an enzyme and a transcriptional regulator, sensing lipid levels and transducing the information to the level of gene expression.

Summary: Tumor-associated macrophages (TAMs) are frequently the most abundant immune cells in cancers and are associated with poor survival. Here, we generated TAM molecular signatures from K14cre;Cdh1flox/flox;Trp53flox/flox (KEP) and MMTV-NeuT (NeuT) transgenic mice that resemble human invasive lobular carcinoma (ILC) and HER2+ tumors, respectively. Determination of TAM-specific signatures requires comparison with healthy mammary tissue macrophages to avoid overestimation of gene expression differences. TAMs from the two models feature a distinct transcriptomic profile, suggesting that the cancer subtype dictates their phenotype. The KEP-derived signature reliably correlates with poor overall survival in ILC but not in triple-negative breast cancer patients, indicating that translation of murine TAM signatures to patients is cancer subtype dependent. Collectively, we show that a transgenic mouse tumor model can yield a TAM signature relevant for human breast cancer outcome prognosis and provide a generalizable strategy for determining and applying immune cell signatures provided the murine model reflects the human disease. : Tuit et al. show that TAM transcriptomes in murine models of breast cancer are governed mainly by tissue and tumor subtype-specific signals. Clinical translation of murine signatures can be achieved when human and mouse breast tumor subtypes are matched and only upon proper comparison of TAMs with healthy tissue macrophages. Keywords: mouse model, human, co-expression network analysis, transcriptome, innate immunity, breast cancer, tumor-associated macrophage, clinical outcome prediction, invasive lobular carcinoma