Intra-tumor heterogeneity is one of the biggest challenges in cancer treatment today. Here we investigate tissue-wide gene expression heterogeneity throughout a multifocal prostate cancer using the spatial transcriptomics (ST) technology. Utilizing a novel approach for deconvolution, we analyze the transcriptomes of nearly 6750 tissue regions and extract distinct expression profiles for the different tissue components, such as stroma, normal and PIN glands, immune cells and cancer. We distinguish healthy and diseased areas and thereby provide insight into gene expression changes during the progression of prostate cancer. Compared to pathologist annotations, we delineate the extent of cancer foci more accurately, interestingly without link to histological changes. We identify gene expression gradients in stroma adjacent to tumor regions that allow for re-stratification of the tumor microenvironment. The establishment of these profiles is the first step towards an unbiased view of prostate cancer and can serve as a dictionary for future studies.
SummaryIterative liver injury results in progressive fibrosis disrupting hepatic architecture, regeneration potential, and liver function. Hepatic stellate cells (HSCs) are a major source of pathological matrix during fibrosis and are thought to be a functionally homogeneous population. Here, we use single-cell RNA sequencing to deconvolve the hepatic mesenchyme in healthy and fibrotic mouse liver, revealing spatial zonation of HSCs across the hepatic lobule. Furthermore, we show that HSCs partition into topographically diametric lobule regions, designated portal vein-associated HSCs (PaHSCs) and central vein-associated HSCs (CaHSCs). Importantly we uncover functional zonation, identifying CaHSCs as the dominant pathogenic collagen-producing cells in a mouse model of centrilobular fibrosis. Finally, we identify LPAR1 as a therapeutic target on collagen-producing CaHSCs, demonstrating that blockade of LPAR1 inhibits liver fibrosis in a rodent NASH model. Taken together, our work illustrates the power of single-cell transcriptomics to resolve the key collagen-producing cells driving liver fibrosis with high precision.
Various inhibitors of histone deacetylase (HDAC) activity can sensitize drug resistant cancer cells to chemotherapeutic agents. However, the mechanisms underlying such effects of distinct HDAC inhibitors (HDACi) remain poorly understood. Here we show that both the HDACi trichostatin A and valproic acid induced a sensitization of multidrug-resistant cancer cells to the topoisomerase II inhibitor etoposide/VP16. This effect was associated with increased acetylation of certain lysines on histones H3 and H4, including lysine 16 on histone H4 (H4K16). Overexpression of the histone acetyltransferase hMOF, known to target H4K16, was sufficient to mimic HDACi treatment on sensitization and H4K16 acetylation, and importantly, small-interfering RNA (siRNA)-mediated knockdown of hMOF abolished the HDACi-mediated sensitizing effects as well as the increase in H4K16 acetylation. Conversely, siRNA-mediated knockdown of the H4K16 deacetylase SIRT1 mimicked HDACi treatment whereas overexpression of SIRT1 abolished H4K16 acetylation and significantly reduced the sensitizing effects of HDACi. Interestingly, the effects of hMOF on H4K16 acetylation and sensitization to the topoisomerase II inhibitor could be directly counteracted by exogenous expression of increasing amounts of SIRT1 and vice versa. Our study results suggest that hMOF and SIRT1 activities are critical parameters in HDACi-mediated sensitization of multidrug-resistant cancer cells to topoisomerase II inhibitor and increased H4K16 acetylation.
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