E-MEXP-3635
Ontology highlight
ABSTRACT:
PROVIDER: E-MEXP-3635 | ExpressionAtlas | 2015-10-22
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Human genotyping data for patients infected by hepatitis C virus
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Project description:Transcriptional profiling comparing tumoral and non tumoral part of human liver infected by hepatitis B virus Expression profiling of induced hepatitis B virus tumor from human liver and expression profiling of hepatitis B virus infected non tumoral part of the liver from french patients Please note that there are 62 raw files (i.e.'AFE_raw_files.tar' linked to the Series records) for 124 samples since two samples were on the same array, one in Cy3 and one in Cy5. The corresponding raw data file for each sample is indicated in the Sample description field. This dataset is part of the TransQST collection.
2013-05-23 | E-GEOD-47197 | 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. 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.
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Project description:Modeling the dynamics of hepatitis C virus with combined antiviral drug therapy: interferon and ribavirin.
Banerjee S1, Keval R, Gakkhar S.
Author information
1
Department of Mathematics, Indian Institute of Technology Roorkee (IITR), Roorkee 247667, Uttaranchal, India. Electronic address: sandofma@iitr.ernet.in.
Abstract
A mathematical modeling of hepatitis C virus (HCV) dynamics and antiviral therapy has been presented in this paper. The proposed model, which involves four coupled ordinary differential equations, describes the interaction of target cells (hepatocytes), infected cells, infectious virions and non-infectious virions. The model takes into consideration the addition of ribavirin to interferon therapy and explains the dynamics regarding a biphasic and triphasic decline of viral load in the model. A critical drug efficacy parameter has been defined and it is shown that for an efficacy above this critical value, HCV is eradicated whereas for efficacy lower this critical value, a new steady state for infectious virions is reached, which is lower than the previous steady state value.
Copyright © 2013 Elsevier Inc. All rights reserved.
KEYWORDS:
Hepatitis C virus (HCV); Infected cells; Infectious virions; Interferon; Noninfectious virions; Ribavirin; Target cells
2019-12-13 | BIOMD0000000892 | BioModels
Project description:Modeling the dynamics of hepatitis C virus with combined antiviral drug therapy: interferon and ribavirin.
Banerjee S1, Keval R, Gakkhar S.
Author information
1
Department of Mathematics, Indian Institute of Technology Roorkee (IITR), Roorkee 247667, Uttaranchal, India. Electronic address: sandofma@iitr.ernet.in.
Abstract
A mathematical modeling of hepatitis C virus (HCV) dynamics and antiviral therapy has been presented in this paper. The proposed model, which involves four coupled ordinary differential equations, describes the interaction of target cells (hepatocytes), infected cells, infectious virions and non-infectious virions. The model takes into consideration the addition of ribavirin to interferon therapy and explains the dynamics regarding a biphasic and triphasic decline of viral load in the model. A critical drug efficacy parameter has been defined and it is shown that for an efficacy above this critical value, HCV is eradicated whereas for efficacy lower this critical value, a new steady state for infectious virions is reached, which is lower than the previous steady state value.
Copyright © 2013 Elsevier Inc. All rights reserved.
KEYWORDS:
Hepatitis C virus (HCV); Infected cells; Infectious virions; Interferon; Noninfectious virions; Ribavirin; Target cells
2020-01-09 | MODEL1912120002 | BioModels
Project description:Hepatitis C virus (HCV) is widely used to investigate host-virus interactions and cellular responses to infection have been extensively studied in vitro. In human liver, interferon (IFN) stimulated gene expression can mask direct transcriptional responses to virus infection. To better characterize the direct effects of HCV infection in vivo, we analyze the transcriptomes of HCV-infected patients lacking an activated endogenous IFN system. We show that the expression changes observed in these patients predominantly reflect immune cell infiltrates rather than changes in cell-intrinsic metabolic pathways. We also investigate the transcriptomes of patients with endogenous IFN activation, which paradoxically cannot eradicate viral infection. We find that most IFN-stimulated genes (ISGs) are induced by both the endogenous IFN system and by recombinant IFN therapy, but with significantly higher induction levels in the latter. We conclude that the innate host immune response in chronic hepatitis C is too weak to clear the virus.
2017-03-28 | GSE84346 | GEO
Project description:transcriptionnal profiling comparing tumoral and non tumoral part of human liver infected by hepatitis B virus
2013-05-23 | GSE47197 | GEO
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:Influence of Intracellular Delay on the Dynamics of Hepatitis C Virus
Sandip Banerjee 1· Ram Keval 2
Abstract
In this paper, we present a delay induced model for hepatitis C virus incorporat-ing the healthy and infected hepatocytes as well as infectious and noninfectious virions. Themodel is mathematically analyzed and characterized, both for the steady states and the dynam-ical behavior of the model. It is shown that time delay does not affect the local asymptoticstability of the uninfected steady state. However, it can destabilize the endemic equilibrium,leading to Hopf bifurcation to periodic solutions with realistic data sets. The model is alsovalidated using 12 patient data obtained from the study, conducted at the University of SaoPaulo Hospital das clinicas
2020-03-13 | MODEL2001300001 | BioModels