RNA-Seq analysis of HCV long-term infection cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE185417 | GEO | 2021/10/09
REPOSITORIES: GEO
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Project description:RNA-Seq analysis of HCV long-term infection cells
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Project description:Hepatitis C virus (HCV) remains a significant public health threat as new 1.75 million HCV infections emerged worldwide. The majority of these infections become persistently infected, while around 30 % spontaneously eliminate the virus. Clinical factors for viral clarification are related to HCV interaction with host immune system, but little is known about the consequences after HCV spontaneous resolution. These individuals are difficult to recruit and study as acute infection is usually asymptomatic, and they will not be identified unless it progress to chronic infection. The study of peripheral blood mononuclear cells (PBMCs) of these patients is crucial, as PBMCs are one of the main HCV extrahepatic reservoirs, and its transcriptional profile provide us information of innate and adaptive immune response against HCV infection. Our research shows novel insight on molecular consequences of spontaneous resolution after an acute HCV infection. 96 Individuals with different HCV exposure status were recruited: spontaneous resolved, chronic infected and healthy controls; and the microRNA profile of their PBMCs were analyzed. Our results indicate similar disruption of miRNA expression on HCV chronic patients and those who spontaneously clarified the infection, compared to control patients. The disrupted miRNAs formed a signature of 21 miRNAs that mainly regulate lipid metabolism. This is the first report showing miRNA profile similarities between chronic HCV patients and spontaneous resolved individuals. Thus, our results suggest that HCV infection promotes molecular alterations in PBMCs that will last longer after HCV spontaneous eradication. This evidences open up new prospects in the management of individuals who spontaneously clarified infection, as they should be monitored and followed to dismiss future HCV-related complications, such us liver diseases complications. The identified miRNA signature could be used as biomarker to monitor HCV fingerprint on HCV-exposed patients.
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Project description:Hepatitis C virus (HCV) is a global problem. To better understand HCV infection researchers employ in vitro HCV cell-culture (HCVcc) systems that use Huh-7 derived hepatoma cells that are particularly permissive to HCV infection. A variety of hyper-permissive cells have been subcloned for this purpose. In addition, subclones of Huh-7 which have evolved resistance to HCV are available. However, the mechanisms of susceptibility or resistance to infection among these cells have not been fully determined. In order to elucidate mechanisms by which hepatoma cells are susceptible or resistant to HCV infection we performed genome-wide expression analyses of six Huh-7 derived cell cultures (Huh-7, Huh-7.5.1, Huh-7.5.1c2, R1.09, R1.10 and R2.1) R that have different levels of permissiveness to infection. A great number of genes, representing a wide spectrum of functions are differentially expressed between cells. To focus our investigation, we identify host proteins from HCV replicase complexes, perform gene expression analysis of three HCV infected cells (infected Huh-7, Huh-7.5.1 and Huh-7.5.1c2) and conduct a detailed analysis of differentially expressed host factors by integrating a variety of data sources. Our results demonstrate that changes relating to susceptibility to HCV infection in hepatoma cells are linked to the innate immune response, secreted signal peptides and host factors that have a role in virus entry and replication. This work identifies both known and novel host factors that may influence HCV infection. Our findings build upon current knowledge of the complex interplay between HCV and the host cell, which could aid development of new antiviral strategies. Six Huh-7 derived hepatoma cell types that have different levels of susceptibility to HCV infection in cell culture are used: Huh-7, Huh-7.5.1, Huh-7.5.1c2, R1.09, R1.10 and R2.1. Of these the first three (label starting Huh are susceptible to HCV infection and the latter three (label starting R are resistant to HCV infection. All cell types are derived from Huh-7. Huh-7.5.1 is a subclone of Huh-7.5 that in turn is a subclone of Huh-7. Huh-7.5.1c2 is a subclone of Huh-7.5.1. R1.09 and R1.10 are subclones of R1 that is inturn a sublone of Huh-7.5,1. R2.1 is a subclone of Huh-7.5.1.
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Project description:Viruses lack the basic machinery needed to replicate and therefore must hijack host metabolism to propagate. Virus-induced metabolic alterations have yet to be systematically studied in the context of the host transcriptional regulation, offering insight into host-pathogen metabolic interplay. In this work we identified Hepatitis C Virus (HCV)-responsive regulators by coupling system-wide metabolic flux analysis with targeted perturbation of nuclear receptors in primary human hepatocytes. We find HCV-induced up-regulation of glycolysis, ketogenesis and drug metabolism, controlled by activation of HNF4α, PPARα, FXR and PXR, respectively. Pharmaceutical inhibition of HNF4α reversed HCV-induced glycolysis, blocking viral replication while increasing apoptosis in infected cells showing a viral-induced dependence on glycolysis. In contrast, pharmaceutical inhibition of PPARα or FXR reversed HCV-induced ketogenesis, but increased viral replication demonstrating a unique host anti-viral response. Our results show that viral-induced changes to host metabolism can be detrimental to its lifecycle demonstrating a distinct biological complexity. In this dataset, we include the expression data obtained from primary human hepatocyte oxygenated co-cultures infected or not infected by HCV and human sanp frozen liver biopsys from HCV patients at earley stages.
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Project description:The aim of this study was to identify differential gene and protein expression associated with GBV-C that may be of importance in reduction of HCV-related liver disease. GB virus C (GBV-C) infection leads to improved outcomes in human immunodeficiency virus (HIV) infection. Furthermore, GBV-C has been shown to reduce hepatitis C virus (HCV)-related liver disease in HCV/HIV co-infection.
2011-05-10 | GSE16593 | GEO
Project description:Hepatitis C virus (HCV) is a global problem. To better understand HCV infection researchers employ in vitro HCV cell-culture (HCVcc) systems that use Huh-7 derived hepatoma cells that are particularly permissive to HCV infection. A variety of hyper-permissive cells have been subcloned for this purpose. In addition, subclones of Huh-7 which have evolved resistance to HCV are available. However, the mechanisms of susceptibility or resistance to infection among these cells have not been fully determined. In order to elucidate mechanisms by which hepatoma cells are susceptible or resistant to HCV infection we performed genome-wide expression analyses of six Huh-7 derived cell cultures (Huh-7, Huh-7.5.1, Huh-7.5.1c2, R1.09, R1.10 and R2.1) R that have different levels of permissiveness to infection. A great number of genes, representing a wide spectrum of functions are differentially expressed between cells. To focus our investigation, we identify host proteins from HCV replicase complexes, perform gene expression analysis of three HCV infected cells (infected Huh-7, Huh-7.5.1 and Huh-7.5.1c2) and conduct a detailed analysis of differentially expressed host factors by integrating a variety of data sources. Our results demonstrate that changes relating to susceptibility to HCV infection in hepatoma cells are linked to the innate immune response, secreted signal peptides and host factors that have a role in virus entry and replication. This work identifies both known and novel host factors that may influence HCV infection. Our findings build upon current knowledge of the complex interplay between HCV and the host cell, which could aid development of new antiviral strategies. Six Huh-7 derived hepatoma cell types that have different levels of susceptibility to HCV infection in cell culture are used: Huh-7, Huh-7.5.1, Huh-7.5.1c2, R1.09, R1.10 and R2.1. Of these the first three (label starting Huh are susceptible to HCV infection and the latter three (label starting R are resistant to HCV infection. All cell types are derived from Huh-7. Huh-7.5.1 is a subclone of Huh-7.5 that in turn is a subclone of Huh-7. Huh-7.5.1c2 is a subclone of Huh-7.5.1. R1.09 and R1.10 are subclones of R1 that is inturn a sublone of Huh-7.5,1. R2.1 is a subclone of Huh-7.5.1. 39 samples are used. In every case there are 3 biological replicates, i.e., there are 13 unique conditions (39/3=13). These samples are subdivided between two studies: (1) A comparison of HCV infection resistant cells R1.09, R1.10 and R2 against HCV susceptible Huh-7.5.1. (2) A comparison of JFH1 HCV infected Huh-7, Huh-7.5.1 and Huh-7.5.1c2 cells versus their uninfected counterparts. In each case there are two uninfected counterparts, cells that were harvested after being in culture for 20 hours and cells that were harvested at the same time point as the infected cells, that is, at the peak time of infection. Peak times for infection vary between cells, depending on their susceptibility to infection: 168 hours for Huh-7, 120 hours for Huh-7.5.1 and 96 hours for Huh-7.5.1c2.
2011-06-11 | E-GEOD-29889 | biostudies-arrayexpress