Project description:The large size and vascular accessibility of the laboratory rat (Rattus norvegicus) makes it an ideal hepatic animal model for diseases that require surgical manipulation. Often, the disease susceptibility and outcomes of inflammatory pathologies vary significantly between strains. This study uses single cell transcriptomics to better understand the complex cellular network of the rat liver, as well as to unravel the cellular and molecular sources of inter-strain hepatic variation. We generated single cell and single nucleus transcriptomic maps of the livers of healthy Dark Agouti and Lewis rat strains, and developed a factor analysis-based bioinformatics analysis pipeline to study data covariates, such as strain and batch. Using this approach, we discovered transcriptomic variation within the hepatocyte and myeloid populations that underlie distinct cell states between rat strains. This finding will help provide a reference for future investigations on strain-dependent outcomes of surgical experiment models.
Project description:The large size and vascular accessibility of the laboratory rat (Rattus norvegicus) make it an ideal hepatic animal model for diseases that require surgical manipulation. Often, the disease susceptibility and outcomes of inflammatory pathologies vary significantly between strains. This study uses single-cell transcriptomics to better understand the complex cellular network of the rat liver, as well as to unravel the cellular and molecular sources of inter-strain hepatic variation. We generated single-cell and single-nucleus transcriptomic maps of the livers of healthy Dark Agouti and Lewis rat strains and developed a factor analysis-based bioinformatics analysis pipeline to study data covariates, such as strain and batch. Using this approach, we discovered transcriptomic variation within the hepatocyte and myeloid populations that underlie distinct cell states between rat strains. This finding will help provide a reference for future investigations on strain-dependent outcomes of surgical experiment models.
Project description:The composition of intrahepatic immune cells in primary sclerosing cholangitis (PSC) and their contribution to disease pathogenesis is widely unknown. We here generated a single-cell atlas of intrahepatic T cells in PSC, a type of immune cells that has previously been involved in the pathogenesis of PSC. This atlas provides a valuable data source to the field. Using that atlas, we identified a population of liver-resident naive-like CD4+ T cells which are expanded in livers of patients with PSC compared to healthy and other liver diseases. Trajectory inference suggest that these cells have a propensity to acquire TH17-associated effector functions. Using blood-derived cells naive CD4+ T cells we experimentally prove this propensity. Since TH17-polarized cells are considered to contribute to the development of PSC, our findings point towards a so far underestimated role of naive T cells in PSC.
Project description:A \"Cartes d'Identite des Tumeurs\" (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net). This serie showed the heterogeneity of tumor microenvironment across intrahepatic cholangiocarcinoma.
Project description:Five microarrays from a larger dataset used to demonstrate a normalization technique base on Zipf's law. The original data set was generated by using Atlas Rat cDNA microarrays (Clontech, 588 genes) probed with rat brain tissue, from control (cerebellum n=10, olive n=10) and harmaline treated (cerebellum n=10, olive n=9) animals. Microarrays were probed according to established protocols and exposed to imaging plates overnight (BAS-MS 2325) and scanned at a 50 m resolution on a FLA-3000G phosphoimager (Raytest, Germany). Image gridding was carried out using VisualGrid® software (http://www.gpc-biotech.com).
Project description:Five microarrays from a larger dataset used to demonstrate a normalization technique base on Zipf's law. The original data set was generated by using Atlas Rat cDNA microarrays (Clontech, 588 genes) probed with rat brain tissue, from control (cerebellum n=10, olive n=10) and harmaline treated (cerebellum n=10, olive n=9) animals. Microarrays were probed according to established protocols and exposed to imaging plates overnight (BAS-MS 2325) and scanned at a 50 m resolution on a FLA-3000G phosphoimager (Raytest, Germany). Image gridding was carried out using VisualGrid® software (http://www.gpc-biotech.com). Keywords: other