Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA281106 | ENA |
REPOSITORIES: ENA
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Project description:We applied small RNA Solexa sequencing technology to identify microRNA expression in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver, a severe chronic hepatitis B liver, two HBV-related hepatocellular carcinoma (HCC), an hepatitis C virus (HCV)-related HCC, and an HCC without HBV or HCV infection. All samples were collected with the informed consent of the patients and the experiments were approved by the ethics committee of Second Military Medical University, Shanghai, China. We investigated the miRNome in human normal liver and suggested some deregulated abundantly expressed microRNAs in HCC. center_name: National Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, China. Examination of miRNome in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver tissue, a severe chronic hepatitis B liver tissue, an HBV-related hepatocellular carcinoma (HCC) tissue and adjacent liver tissues of different regions,an HBV-related HCC tissue and adjacent liver tissue, an hepatitis C virus (HCV)-related HCC tissue and adjacent liver tissue, and an HCC without HBV or HCV infection and adjacent liver tissue. All 15 human liver tissue samples.
2010-04-10 | E-GEOD-21279 | biostudies-arrayexpress
Project description:We applied small RNA Solexa sequencing technology to identify microRNA expression in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver, a severe chronic hepatitis B liver, two HBV-related hepatocellular carcinoma (HCC), an hepatitis C virus (HCV)-related HCC, and an HCC without HBV or HCV infection. All samples were collected with the informed consent of the patients and the experiments were approved by the ethics committee of Second Military Medical University, Shanghai, China. We investigated the miRNome in human normal liver and suggested some deregulated abundantly expressed microRNAs in HCC. center_name: National Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, China.
2010-04-10 | GSE21279 | GEO
Project description:Background: The pathogenesis of hepatitis B virus (HBV)-caused hepatocellular carcinoma (HCC) is complex and not fully understood. In clinical, the effective prevention and treatment of HCC rely on the accurate diagnosis. We developed a biology network approach to investigate the potential mechanisms and biomarkers of each stages from HBV infection to HCC. Methods Global gene profiling of healthy individuals (HC), HBV carriers (HBVC), chronic hepatitis B patients (CHB), liver cirrhosis (LC) and HCC was analyzed by gene array. Differentially expressed genes (DEG) were found by RVM (Random variance model) corrective ANOVA and STC (Series Test of Cluster) analysis.
2019-10-28 | GSE114783 | GEO
Project description:<p>Hepatitis B virus (HBV) infection is a major risk factor for hepatocellular carcinoma (HCC). In this study we sequenced the whole genome (~80X) and transcriptome of tumor and non-tumor samples from four HCC patients and identified over two hundred HBV integration sites. We found significant clonal expansion of HBV-integrated hepatocytes specifically in the tumor samples. We observed a diverse collection of genomic perturbations near viral integration sites, including gene disruption, viral promoter-driven human transcription, viral-human transcript fusion and DNA copy number alteration. We also sequenced one patient at ultra-high coverage (~240X) to build the most comprehensive HBV-integration landscape yet attempted. Our data suggest that the viral integration significantly expands carcinogenic opportunities in HBV-infected individuals.</p>
| phs000384 | dbGaP
Project description:Hepatitis B virus (HBV) has been clearly recognized as an etiological factor for hepatocellular carcinoma (HCC). HBV encodes the potentially oncogenic HBx protein. We aimed to elucidate the molecular mechanism of HCC caused by HBx and to discover the biomarker related to HCC by HBx. Three experimental groups, 3, 9 and 13 month aged HBx Tg mice and age matched normal wild type B6 mouse which have same background of HBx Tg mice were used to find differentially expressed genes during HCC. Keywords: Genetic modification
2008-09-11 | GSE12723 | GEO
Project description:Hepatitis B virus (HBV) mutations promote the occurrence of hepatocellular carcinoma (HCC). However, their association with postoperative prognosis remains obscure. Here, we aimed to characterize the evolution of HBV in different sources and identify viral mutation pattern that facilitates postoperative prognosis of HCC.
2022-12-01 | GSE135631 | GEO
Project description:MicroRNAs (miRNAs) exhibit essential regulatory functions related to cell growth, apoptosis, development and differentiation. Dysregulated expression of miRNAs is associated with a wide variety of human diseases. As such miRNA signatures are valuable as biomarkers for disease and for making treatment decisions. Hepatitis B virus (HBV) is a major risk factor for hepatocellular carcinoma (HCC). Here we screened for miRNAs in chronic HBV associated HCC. To evaluate the effect of HBV infection on the change in expression of miRNAs, 12 pairs of samples from HCC and non-tumor tissues (including 6 HBV-positive HCC and 6 HBV-negative HCC and their non-tumor tissues) were collected. The extracted RNAs were evaluated to detect the expression of miRNAs. Using ANOVA to screen the differential expression of miRNAs at P-value ⤠0.01, fold change ⥠2 or ⤠0.5, 225 miRNAs were detected.
2016-06-30 | E-MTAB-4809 | biostudies-arrayexpress
Project description:The expression profiling of HBV-transfected Huh-7 cells and control cells. Hepatocellular carcinoma (HCC) is one of major malignant disease worldwide, and patients with chronic hepatitis B virus (HBV) infection have a high risk of developing HCC. Via microarray gene expression analysis, we detected the gene alteration in HBV transfected hepatoma cells.
2016-06-18 | GSE83489 | GEO
Project description:Hepatitis B virus (HBV) has been clearly recognized as an etiological factor for hepatocellular carcinoma (HCC). HBV encodes the potentially oncogenic HBx protein. We aimed to elucidate the molecular mechanism of HCC caused by HBx and to discover the biomarker related to HCC by HBx. Three experimental groups, 3, 9 and 13 month aged HBx Tg mice and age matched normal wild type B6 mouse which have same background of HBx Tg mice were used to find differentially expressed genes during HCC. Keywords: Genetic modification 3-month-old, 9-month-old, 13-month-old wild type B6 mice vs 3-month-old, 9-month-old, 13-month-old HBx transfected mice; Biological replicates at each timepoint; 9 controls vs 9 HBx-mice
2010-06-19 | E-GEOD-12723 | biostudies-arrayexpress
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.
2013-11-14 | E-GEOD-44074 | biostudies-arrayexpress