Comparison of gene expression profiles of HCV-specific CD8 T cells from resolving and chronic patients.
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE93711 | GEO | 2017/01/18
SECONDARY ACCESSION(S): PRJNA362189
REPOSITORIES: GEO
Similar Datasets
Project description:T cell exhaustion is a well-defined process diminishing the efficacy of the CD8 response in persistent viremia. What is less understood is whether early differences in T cell regulation already predetermine the fate of the T cell response and infection outcome. Its dichotomous outcome that is unique among human viral infections makes hepatitis C virus infection uniquely suited to compare transcriptional regulation between HCV-specific CD8 T cells that do and do not achieve viral control. Using differential gene expression analysis and gene co-expression networks we define core programs of T cell regulation but also extensive differences in metabolic and nucleosomal processes as well as their underlying regulation by transcription factors.
2017-01-18 | GSE93712 | GEO
Project description:Although extensive studies have demonstrated the gene expression patterns of antigen-specific CD4+ and CD8+ T-cells during chronic hepatitis C virus (HCV) infection, the transcriptional profiles of global CD4+ and CD8+ T-cells remains unclear. In this report, we recruited 10 long-term (~20 years) treatment-naM-CM-/ve chronic HCV (CHC) patients and 5 healthy donors (HDs) to investigate differences in global CD4+ and CD8+ T-cells gene expression profile. Global CD4+ and CD8+ T-cells showed unique transcriptional profiles in the expression of apoptosis-related genes. We identified BCL2, PMAIP1, and CASP1 in CD4+ T-cells and IER3 and BCL2A1 in CD8+ T-cells from CHC patients as HCV-specific gene signatures. The unique apoptosis-related gene expression profilesin global CD4+ and CD8+ T-cells programmed by chronic HCV infection seemed to enhance activation-induced apoptosis, which was suffered by global CD4+ and CD8+ T-cells. We obtained 15 blood samples to identify the gene expression signatures of global CD4+ and CD8+ T-cells due to chronic HCV infection. The samples included: 5 samples from high HCV viral load patients (HCV-h), 5 samples from low HCV viral load (HCV-l) and 5 samples from healthy donors (HD). HCV patients were all Ab+ and treatment-naive prior to the study. Samples were taken once from each individual. Global CD4+ and CD8+ T-cells were enriched by microbeads, and total RNA were used in gene chip analysis.
2013-08-19 | E-GEOD-49954 | biostudies-arrayexpress
Project description:Chronic immune activation is a hallmark of human immunodeficiency virus (HIV) infection and the best prognostic indicator of disease progression. Suppressing HIV viremia by antiretroviral therapy (ART) restores normal immune response and effectively prolongs life. In HIV-infected individuals who are coinfected with hepatitis C virus (HCV) the immune system is activated despite effective HIV antiretroviral therapy controlling viral load. Here we examined CD14+ monocyte gene expression by high-density microarray analysis and T cell subsets, CD4 and CD8, by flow cytometry to characterize immune activation in monoinfected HCV, monoinfected HIV and HIV/HCV coinfected subjects with undetected HIV viral load. To determine the impact of coinfection on cognition, subjects were evaluated in 7 domains for neuropsychological (NP) performance, which was summarized as global deficit scores (GDS). Gene expression analysis of CD14+ monocytes from coinfected subjects revealed an elevated type 1 interferon (IFN) response profile unique to coinfection. For both CD4 and CD8 T cells, coinfection triggered significantly increased expression of activation markers CD38 and HLA-DR. In the coinfected group, mild cognitive impairment was associated with a type 1 IFN monocyte response but not plasma lipopolysaccharide. These observations raise the possibility that cognitive impairment evident in the HIV/HCV population is associated with the IFN response detected in coinfected individuals.
2012-06-07 | GSE38542 | GEO
Project description:Background: NK cells during chronic viral infection have been well studied over the last decade. We performed an unbiased next-generation RNA-sequencing approach to identify commonalities or differences of the effect of HIV, HCV and HBV viremia on NK cell transcriptomes. Methods: Using cell sorting, we obtained CD3-CD56+ NK cells from blood of 6 HIV, 11 HCV, and 32 HBV infected and untreated patients. Library preparation and sequencing were done using Illumina mRNA-Seq Sample Prep Kit and the HiSeq 2000, HiSeq2500 or NextSeq 500, and further analysis by an in-house analytic pipeline. Results: In NK cells from HIV, HCV and HBV patients, transcriptome analysis identified 272, 53, and 56 differentially expressed genes, respectively (fold change >1.5, q-value 0.2). Interferon stimulated genes were induced in NK cells from HIV/HCV patients, but not during HBV infection. HIV viremia downregulated ribosome assembly genes in NK cells. In HBV, viral load and ALT variation had little effect on genes related to NK effector function. Conclusion: We compare, for the first time, NK cell transcripts of viremic HIV, HCV and HBV patients. We clearly demonstrate distinctive NK cell gene signatures in 3 different populations, suggestive for a different degree of functional alterations of the NK cell compartment as compared to healthy individuals.
2019-01-26 | GSE125686 | GEO
Project description:Chronic hepatitis C virus (HCV) infection is associated with CD8+ T-cell exhaustion characterized by limited effector functions and thus compromised anti-viral activity. Exhausted HCV-specific CD8+ T cells are comprised of memory-like and terminally exhausted CD8+ T-cell subsets. So far, little is not known about the molecular profile and fate of these cells after elimination of chronic antigen stimulation by direct acting antiviral therapy (DAA). Here, we report an antigen-driven molecular core signature underlying exhausted CD8+ T-cell subset heterogeneity in chronic viral infection with a progenitor/progeny relationship of memory-like and terminally exhausted HCV-specific CD8+ T cells via an intermediate stage. Furthermore, transcriptional profiling reveals that the memory-like cells remain after DAA-mediated cure while terminally exhausted HCV-specific CD8+ T-cell subsets are lost. Thus, the memory polarization of the overall HCV-specific CD8+ T-cell response after cure does not result from re-differentiation of exhausted T cells. Consequently, antigen elimination has little impact on the exhausted core signature of memory-like CD8+ T cells that remains clearly different from bona fide T-cell memory. These results identify a molecular signature of T-cell exhaustion that is imprinted like a chronic scar in HCV-specific CD8+ T cells even after HCV cure, highlighting the requirement of re-programming to elicit full effector potential of exhausted T cells.
| EGAS00001004538 | EGA
Project description:Chronic immune activation is a hallmark of human immunodeficiency virus (HIV) infection and the best prognostic indicator of disease progression. Suppressing HIV viremia by antiretroviral therapy (ART) restores normal immune response and effectively prolongs life. In HIV-infected individuals who are coinfected with hepatitis C virus (HCV) the immune system is activated despite effective HIV antiretroviral therapy controlling viral load. Here we examined CD14+ monocyte gene expression by high-density microarray analysis and T cell subsets, CD4 and CD8, by flow cytometry to characterize immune activation in monoinfected HCV, monoinfected HIV and HIV/HCV coinfected subjects with undetected HIV viral load. To determine the impact of coinfection on cognition, subjects were evaluated in 7 domains for neuropsychological (NP) performance, which was summarized as global deficit scores (GDS). Gene expression analysis of CD14+ monocytes from coinfected subjects revealed an elevated type 1 interferon (IFN) response profile unique to coinfection. For both CD4 and CD8 T cells, coinfection triggered significantly increased expression of activation markers CD38 and HLA-DR. In the coinfected group, mild cognitive impairment was associated with a type 1 IFN monocyte response but not plasma lipopolysaccharide. These observations raise the possibility that cognitive impairment evident in the HIV/HCV population is associated with the IFN response detected in coinfected individuals. Monocytes isolated from healthy controls (n=17), HCV monoinfected (n=19) and HIV/HCV coinfected (n=17) were analyzed for gene expression using high-density microarrays. Whole blood was collected in Vacutainer CPT tubes (BD Biosciences) and PBMCs were enriched by centrifugation. Typically, three million CD14+ monocytes were isolated from 30 ml of whole blood using an anti-CD14 monoclonal antibody immunomagnetic - ferrous bead conjugate according to the manufacturer’s instructions (Miltenyi Biotech). Monocyte purity exceeded 97% with <1% T or B cell contamination as determined by flow cytometry. Monocyte RNA was isolated using a Qiagen RNeasy Micro Kit with an RNA integrity value exceeding 9. Complementary DNA was synthesized and labeled with biotin (iExpress iAmplify kit, Applied Microarrays) and hybridized to Codelink Whole Human Genome Bioarrays (55K probes, Applied Microarrays). Slides were scanned (Axon GenePix 4000B, Molecular Devices), analyzed (CodeLink Expression Software Kit v4.1) and microarray data were normalized with loess normalization using R and Bioconductor package. Determination of differential gene expression and multiple testing correction / false discovery rate adjustments were performed using GeneSpring GX 7.3 software package (Agilent). Microarray data was analyzed using a variety of custom data analytic techniques for gene expression profile identification as described previously. Correlations were determined by Spearman rank correlation coefficient.
2012-06-06 | E-GEOD-38542 | biostudies-arrayexpress
Project description:Investigation of phenotypical changes between exhausted HCV-specific CD8+ T cells during chronic infection and after DAA-mediated cure investigation of heterogeneity withhin the HCV-specific CD8+ T cell population
2020-09-07 | GSE150345 | GEO
Project description:Investigation of phenotypical changes between exhausted HCV-specific CD8+ T cells during chronic infection and after DAA-mediated cure investigation of heterogeneity withhin the HCV-specific CD8+ T cell population
2020-09-08 | GSE150305 | GEO
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.
2016-10-07 | GSE84587 | GEO
Project description:In the present study, we studied chronic HCV patients who responded to IFN-based therapy as evidenced by absence of HCV RNA at the end of treatment, and focused on two issues that have not received much attention. Firstly, we evaluated whether specific genes or gene expression patterns in blood were able to distinguish responder patients with a viral relapse from responder patients who remained virus-negative after cessation of treatment. We found that chronic HCV patients who were sustained responders and relapsers to IFN-based therapy showed comparable baseline clinical parameters and immune composition in blood. However, at baseline, the gene expression profiles of a set of 18 genes predicted treatment outcome with an accuracy of 94%. Secondly, we examined whether patients with successful therapy-induced clearance of HCV still exhibited gene expression patterns characteristic for HCV, or whether normalization of their transcriptome was observed. We observed that the relatively high expression of IFN-stimulated genes (ISG) in chronic HCV patients prior to therapy was reduced after successful IFN-based antiviral therapy (at 24 weeks follow-up). These ISG included CXCL10, OAS1, IFI6, DDX60, TRIM5 and STAT1. In addition, 1428 differentially expressed non-ISG genes were identified in paired pre- and post-treatment samples from sustained responders, which included genes involved in TGF-β signaling, apoptosis, autophagy, and nucleic acid and protein metabolism. Interestingly, 1424 genes were identified with altered expression in responder patients after viral eradication in comparison to normal expression levels in healthy individuals. Additionally, aberrant expression of a subset of these genes, including IL-32, IL-16, CCND3 and RASSF1, was also observed at baseline. Our findings indicate that successful antiviral therapy of chronic HCV patients does not lead to normalization of their blood transcriptional signature. The altered transcriptional activity may reflect HCV-induced liver damage in previously infected individuals. A genome-wide gene expression analysis was performed on a blood cohort of 59 chronic HCV patients and 20 healthy controls. The expression profiles of patients who responded to IFN-based therapy, who developed a viral relapse were compared respectively to the profiles of healthy controls. Pre- and post-treatment expression profiles of same responders were compared as well.
2014-09-02 | E-GEOD-59312 | biostudies-arrayexpress