ABSTRACT: The goal of this experiment was to investigate the early mechanisms of human fulminant hepatitis through ConA-induced hepatitis model.Early diagnosis and interventions are important for patients with fulminant hepatitis and gene expression may be pivotal in the early diagnosis. Keyword :ConA-induced hepatitis model
Project description:The goal of this experiment was to investigate the early mechanisms of human fulminant hepatitis through ConA-induced hepatitis model.Early diagnosis and interventions are important for patients with fulminant hepatitis and gene expression may be pivotal in the early diagnosis. Keyword :ConA-induced hepatitis model ConA was injected through the mouse caudal vein at one of 4 time points (0 hr, 1 hr, 3 hr, 6 hr). The effects of ConA treatment on hepatic gene expression at these time points were analyzed .There are 3 replicates at each timepoint then 4*3=12 samples in all.
Project description:To explore the effect of Bicd2 in ConA-induced acute autoimmune hepatitis, we conducted RNA transcriptome profiling of plko-scramble or shBicd2 plasmid hydrodynamic-injected mice livers in response to ConA injection.
Project description:To investigate the effect of YTHDF1 on concanavalin A (ConA)-induced hepatitis , we performed RNA-seq with the total RNA extracted from the moue liver. Ythdf1-/- or wild type mice were intravenously injected with ConA (8 mg/kg) or saline for 8 hours. Then, the livers were collected, homogenized, and subjected to total RNA extraction.
Project description:To elucidate the effect of a prostaglandin D2 receptor DP1 agonist BW245C on concanavalin A (ConA) hepatitis, we performed DNA microarray using SurePrint G3 Mouse GE 8x60K Microarray. Mice were treated with ConA for 3 or 24 hr with vehicle or BW245C . Livers were collected, homogenized, and subjected to total RNA extraction.
Project description:The etiology of autoimmune hepatitis is poorly understood but likely involves Th1 cells producing IFN-γ. BALB/c background TGF-β1-/- mice rapidly develop fulminant Th1-mediated autoimmune hepatitis. Our aims are to profile liver gene expression in TGF-β1-/- mice, to identify gene expression pathways dependent on IFN-γ as possible targets for rational therapy, and to test potential targets directly in vivo in mice. Keywords: Comparative analysis of gene expression in livers of WT, TGFB1 & IFN knockout mice
Project description:The etiology of autoimmune hepatitis is poorly understood but likely involves Th1 cells producing IFN-γ. BALB/c background TGF-β1-/- mice rapidly develop fulminant Th1-mediated autoimmune hepatitis. Our aims are to profile liver gene expression in TGF-β1-/- mice, to identify gene expression pathways dependent on IFN-γ as possible targets for rational therapy, and to test potential targets directly in vivo in mice. Keywords: Comparative analysis of gene expression in livers of WT, TGFB1 & IFN knockout mice DNA microarray analyses were applied to liver RNA from TGF-β1-/- mice, TGF-β1-/- /IFN-γ-/- mice, and TGF-β1+/+ littermate controls. 3 mice from each group were analyzed in this study.
Project description:Gene expression profiling of hepatocellular carcinoma (HCC) and background liver has been studied extensively; however, the relationship between the gene expression profiles of different lesions has not been assessed. We examined the expression profiles of 34 HCC specimens (17 hepatitis B virus [HBV]-related and 17 hepatitis C virus [HCV]-related) and 71 non-tumor liver specimens (36 chronic hepatitis B [CH-B] and 35 chronic hepatitis C [CH-C]) using an in-house cDNA microarray consisting of liver-predominant genes. Graphical Gaussian modeling (GGM) was applied to elucidate the interactions of gene clusters among the HCC and non-tumor lesions. Gene expression profiling of HCC and non-tumor lesions revealed the predisposing changes of gene expression in HCC. This approach has potential for the early diagnosis and possible prevention of HCC. We examined the expression profiles of 34 HCC specimens (17 hepatitis B virus [HBV]-related and 17 hepatitis C virus [HCV]-related) and 71 non-tumor liver specimens (36 chronic hepatitis B [CH-B] and 35 chronic hepatitis C [CH-C]) using an in-house cDNA microarray consisting of liver-predominant genes. Graphical Gaussian modeling (GGM) was applied to elucidate the interactions of gene clusters among the HCC and non-tumor lesions.
Project description:Gene expression profiling of hepatocellular carcinoma (HCC) and background liver has been studied extensively; however, the relationship between the gene expression profiles of different lesions has not been assessed. We examined the expression profiles of 34 HCC specimens (17 hepatitis B virus [HBV]-related and 17 hepatitis C virus [HCV]-related) and 71 non-tumor liver specimens (36 chronic hepatitis B [CH-B] and 35 chronic hepatitis C [CH-C]) using an in-house cDNA microarray consisting of liver-predominant genes. Graphical Gaussian modeling (GGM) was applied to elucidate the interactions of gene clusters among the HCC and non-tumor lesions. Gene expression profiling of HCC and non-tumor lesions revealed the predisposing changes of gene expression in HCC. This approach has potential for the early diagnosis and possible prevention of HCC.