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ConA-induced fulminant hepatitis in a mouse model

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

ORGANISM(S): Mus musculus

PROVIDER: GSE17184 | GEO | 2009/07/21

SECONDARY ACCESSION(S): PRJNA119679

REPOSITORIES: GEO

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ConA-induced fulminant hepatitis in a mouse 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.

2009-07-21 | E-GEOD-17184 | biostudies-arrayexpress

Mus musculus

Project description:ConA-induced fulminant hepatitis in a mouse model

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Gene expression profiling of hepatitis B- and hepatitis C-related hepatocellular carcinoma using graphical Gaussian modeling

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Gene expression profiling of hepatitis B- and hepatitis C-related hepatocellular carcinoma using graphical Gaussian modeling

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.

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