Biomedical subjects

Leslie E Rogler

Publications and source records attributed to Leslie E Rogler.

3 recordsLinked to original sources

PubMed2006

Transcriptional profiling implicates TGFbeta/BMP and Notch signaling pathways in ductular differentiation of fetal murine hepatoblasts.

Bile duct morphogenesis involves sequential induction of biliary specific gene expression, bilayer generation, cell proliferation, remodeling and apoptosis. HBC-3 cells are a model system to study differentiation of hepatoblasts along the hepatocytic or bile ductular lineage in vitro and in vivo. We used microarray to define molecular pathways during ductular differentiation in response to Matrigel. The temporal pattern of expression of marker genes induced was similar to that observed during bile duct formation in vivo. Notch, HNF1beta, Polycystic kidney disease 2, Bicaudal C 1 and beta-catenin were up regulated during the time course. Functional clustering analysis revealed significant up regulation of clusters of genes involved in extracellular matrix remodeling, ion transport, vacuoles, lytic vacuoles, pro-apoptotic and anti-apoptotic genes, transcription factors and negative regulators of the cell proliferation, while genes involved in the cell cycle were significantly down regulated. Notch signaling pathway was activated by treatment with Matrigel. In addition, TGFbeta/BMP signaling pathway members including the type I TGFbeta receptor and Smads 3, 4 and 5 were significantly up regulated, as were several TGFbeta/BMP responsive genes including Hey 1, a regulator of Notch pathway signaling. SMADS 3, 4 and 5 were present in the nuclear fraction of HBC-3 cells during ductular differentiation in vitro, but not during hepatocyte differentiation. SMAD 5 was preferentially expressed in hepatoblasts undergoing bile duct morphogenesis in the fetal liver, while the TGFbeta/BMP signaling antagonist chordin, was expressed throughout the liver suggesting a mechanism by which TGFbeta/BMP signaling is limited to hepatoblasts that contact portal mesenchyme in vivo.

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PubMed2005

cDNA microarray analysis of HBV transgenic mouse liver identifies genes in lipid biosynthetic and growth control pathways affected by HBV.

Hepatitis B virus (HBV) transgenic mice that replicate HBV in the liver generally do not exhibit gross liver pathology, while maintaining a high level (10(7) or greater) of viral titer in the blood. We have used this model to determine the minimum effects of HBV replication in the liver on cellular gene transcription, using cDNA microarrays. cDNA microarray data from sets of HBV versus control cDNA microarrays revealed a very small impact of HBV on the cellular transcriptome. After deletion of genes that were variable in control cDNA microarrays and applying significance analysis of microarrays (SAM), an application to detect statistically significantly regulated genes, we identified 18 upregulated genes and 14 downregulated genes. Most of the regulated genes show a change in expression with respect to control of less than 40% in either direction, demonstrating small effects of HBV. The largest functional category for upregulated genes was lipid biosynthesis, in which ATP citrate lyase, fatty acid synthase, sterol regulatory element binding factor 2, and retinol binding protein 1 were all upregulated. The most strongly downregulated genes were in the cytochrome p450 group, particularly p450, 4a14. Several growth regulatory genes including cyclin D1, IGF binding protein 3, and PCNA were moderately upregulated. These data are the first to specifically identify enzymes involved in fatty acid and NADPH-electron transport pathways that are altered by the presence of HBV. The data also demonstrates that HBV is well adapted to non-cytopathic replication in hepatocytes. Cellular genes expected to be affected by viral secretion from membranes are clearly upregulated, and upregulation of growth regulatory genes may facilitate replacement of dying hepatocytes during persistent infection.

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PubMed2004

RNA expression microarrays (REMs), a high-throughput method to measure differences in gene expression in diverse biological samples.

We have developed RNA expression microarrays (REMs), in which each spot on a glass support is composed of a population of cDNAs synthesized from a cell or tissue sample. We used simultaneous hybridization with test and reference (housekeeping) genes to calculate an expression ratio based on normalization with the endogenous reference gene. A test REM containing artificial mixtures of liver cDNA and dilutions of the bacterial LysA gene cDNA demonstrated the feasibility of detecting transcripts at a sensitivity of four copies of LysA mRNA per liver cell equivalent. Furthermore, LysA cDNA detection varied linearly across a standard curve that matched the sensitivity of quantitative real-time PCR. In REMs with real samples, we detected organ-specific expression of albumin, Hnf-4 and Igfbp-1, in a set of mouse organ cDNA populations and c-Myc expression in tumor samples in paired tumor/normal tissue cDNA samples. REMs extend the use of classic microarrays in that a single REM can contain cDNAs from hundreds to thousands of cell or tissue samples each representing a specific physiological or pathophysiological state. REMs will extend the analysis of valuable samples by providing a common broad based platform for their analysis and will promote research aimed at defining gene functions, by broadening our understanding of their expression patterns in health and disease.

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