Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA393783 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5816880_1.fastq.gz | Fastqsanger.gz | |||
| SRR5816880_2.fastq.gz | Fastqsanger.gz | |||
| SRR5816881_1.fastq.gz | Fastqsanger.gz | |||
| SRR5816881_2.fastq.gz | Fastqsanger.gz | |||
| SRR5816882_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: The hepatoblasts are found to be optimal stage, compared with hepatic stem cells (hHpSCs) and mature hepatocytes (hHeps). To identify the cellular determinants that correlated with HCV infection during hES cells’ differentiation, transcriptome profiling of cells at hHpSC, hHB, PreHep and hHep stages were compared with RNA sequencing.Results: In general, the gene expression profile of cells at each stage clustered closer to the HCV infected cells at the same stages. The genes involved in regulation of liver development were up-regulated along with processes of maturation. Among the genes positively related to HCV replication, ABCB6, CEBPD, TNFRSF10C, GTF3A, HAS1, UBE2J1 were highly expressed in mature hHeps, while IGFBP6, SMAD6, ITGA7 etc. were highly expressed in progenitor hHB stage. Most of the 66 genes reported to be involved in HCV assembly and secretion remained unchanged, except CX3CL1 and PROX1 increased in mature hepatocyte and ARHGAF increased in rogenitors. Families of viral restriction factors reported involved in HCV infection were significantly enriched in hHeps. Conclusions: HCV does not change the transcription profile of induced cells and use different genes to support HCV replication in the cells from different stage. Low level of expression of viral restriction factors makes hHBs an optimal host for HCV infection.
2017-07-12 | GSE101133 | GEO
Project description:Classification of human liver cancer into biologically distinct subgroups suggests origin from different hepatic lineage cells. To clarify contribution of lineage stage in liver oncogenesis, we transduced H-Ras and SV40LT into hepatic progenitor cells (HPC), hepatoblasts (HB) and terminally differentiated adult hepatocytes (AH). Regardless of origin, all transformed cell types acquired common cancer stem cell characteristics in vitro and in vivo. However, expression analysis distinguished tumors of different cellular origin underscoring the contribution of lineage/stage-dependent genetic changes in malignant transformation. Notably, AH-derived tumors showed specific enrichment of c-Myc target genes. These data establish that any hepatic lineage cell can be a target for transformation and acquire common cancer stem cell traits via activation of diverse cell type specific pathways. Profiling of individual tumors derived by Ras/SV40 transformation of hepatic progenitor cell (oval cells), hepatoblasts (fetal) and adult hepatocytes
2013-10-01 | E-GEOD-41312 | biostudies-arrayexpress
Project description:Here, we developed a new differentiation protocol by mimicking the two-stage development of hepatoblasts to potentiate their transition to hepatic progenitor cells (hiHPCs), which permits the high-efficiency generation of hiHPCs from chemically induced pluripotent stem cells (hCiPSCs). Moreover, hCiPSC-derived hiHPCs can further differentiate into mature hepatocytes (hiHEPs). We use single-cell RNA sequencing (scRNA-seq) to analyze the two-stage of hepatoblasts indicating the similarity between hepatoblasts differentiated in vitro and in vivo. In addition, we show that the global gene expression profile of hiHPCs was indistinguishable from that of human fetal liver cells (hFLCs) and hCiPSC-derived hiHEPs resembled F-PHHs by using RNA sequencing (RNA-seq).
2023-10-10 | GSE233413 | GEO
Project description:Classification of human liver cancer into biologically distinct subgroups suggests origin from different hepatic lineage cells. To clarify contribution of lineage stage in liver oncogenesis, we transduced H-Ras and SV40LT into hepatic progenitor cells (HPC), hepatoblasts (HB) and terminally differentiated adult hepatocytes (AH). Regardless of origin, all transformed cell types acquired common cancer stem cell characteristics in vitro and in vivo. However, expression analysis distinguished tumors of different cellular origin underscoring the contribution of lineage/stage-dependent genetic changes in malignant transformation. Notably, AH-derived tumors showed specific enrichment of c-Myc target genes. These data establish that any hepatic lineage cell can be a target for transformation and acquire common cancer stem cell traits via activation of diverse cell type specific pathways.
2013-10-01 | GSE41312 | GEO
Project description:Metabolomics offers new insights into disease mechanisms that is enhanced when adopting orthogonal instrumental platforms to expand metabolome coverage, while also reducing false discoveries by independent replication. Herein, we report the first inter-method comparison when using multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS) and nuclear magnetic resonance (NMR) spectroscopy for characterizing the serum metabolome of patients with liver fibrosis in chronic hepatitis C virus (HCV) infection (<i>n</i> = 20) and non-HCV controls (<i>n</i> = 14). In this study, 60 and 30 serum metabolites were detected frequently (>75%) with good technical precision (median CV < 10%) from serum filtrate samples (<i>n</i> = 34) when using standardized protocols for MSI-CE-MS and NMR, respectively. Also, 20 serum metabolite concentrations were consistently measured by both methods over a 500-fold concentration range with an overall mean bias of 9.5% (<i>n</i> = 660). Multivariate and univariate statistical analyses independently confirmed that serum choline and histidine were consistently elevated (<i>p</i> < 0.05) in HCV patients with late-stage (F2-F4) as compared to early-stage (F0-F1) liver fibrosis. Overall, the ratio of serum choline to uric acid provided optimal differentiation of liver disease severity (<i>AUC</i> = 0.848, <i>p</i> = 0.00766) using a receiver operating characteristic curve, which was positively correlated with liver stiffness measurements by ultrasound imaging (<i>r</i> = 0.606, <i>p</i> = 0.0047). Moreover, serum 5-oxo-proline concentrations were higher in HCV patients as compared to non-HCV controls (<i>F</i> = 4.29, <i>p</i> = 0.0240) after adjustment for covariates (age, sex, BMI), indicative of elevated oxidative stress from glutathione depletion with the onset and progression of liver fibrosis. Both instrumental techniques enable rapid yet reliable quantification of serum metabolites in large-scale metabolomic studies with good overlap for biomarker replication. Advantages of MSI-CE-MS include greater metabolome coverage, lower operating costs, and smaller sample volume requirements, whereas NMR offers a robust platform supported by automated spectral and data processing software.
2023-08-22 | MTBLS3111 | MetaboLights
Project description:Expression data in human hepatocytes with HCV infection
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Project description:Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage
| PRJNA103919 | ENA
Project description:Introduction: Mechanisms that contribute to the pathogenesis of liver damage caused by hepatitis C virus (HCV) are not fully understood. Our previous work on liver biopsies from chronic HCV patients has shown modulation of the expression of certain cell cycle proteins indicating HCV-induced modifications of cell cycle events. We therefore hypothesize that HCV infection disrupts normal regulation of cell cycle that contributes to disease progression. Objective: To identify molecular disruptions during the course of HCV-associated disease progression, using liver biopsy specimens of chronic hepatitis C patients. Methods: Liver biopsy samples classified on histological basis as early (fibrosis stage 0-1) or advanced (fibrosis stage 3-4) disease stage were studied using oligonucleotide array ( HG U133 Plus 2.0, Affymetrix GeneChip™ System). For comparison, liver specimens from patients with non-viral hepatitis were also analyzed by microarray. Expression data was analyzed using Genespring (GX 7.2) and Ingenuity Pathway analysis (3.0). The differential expression of selected cell cycle genes (cyclin D2, KPNA2, HERC5 and Bcl-2) identified after microarray analysis was confirmed by quantitative real-time RT-PCR. Results: Microarray analysis revealed two-fold or greater transcriptional change in 792 genes of the total 38,500 known human genes in HCV-advance disease stage (HCV-A) as compared to HCV-early disease stage (HCV-E). Most of the genes have a defined role in immune response, extracellular matrix and cell cycle and apoptosis. Keywords: HCV-advance disease state
2007-11-01 | GSE7741 | GEO
Project description:End stage liver disease due to Hepatitis C Virus (HCV) infection is a major health concern worldwide. Liver fibrosis following chronic HCV infection plays a pivotal role in loss of liver function and end stage liver disease. However the dynamics and molecular events that lead to fibrosis in HCV infection are poorly defined. Therefore, we determined the influence of HCV infection in altering the miRNA expression levels which can modulate immune responses to HCV leading to fibrosis. Analysis of the miRNA expression profiles of HCV infected liver biopsies revealed that 45 miRNAs were differentially expressed in the HCV infected liver when compared to normal livers. In silico target prediction of these differentially expressed miRNAs indicated that their targets include chemokine/cytokine signaling, cell cycle genes and extracellular matrix protein gene expression. Gene expression profiling using whole genome microarray demonstrated that 1320 genes were differentially expressed in chronic HCV liver when compared to normal. These genes could be functionally grouped into those involved in cell cycle regulation, cytokines and chemokines expression, cell adhesion, intracellular signaling and enzymes. Further pathway analysis using GeneGo software identified cell adhesion, cytoskeleton remodeling, cytokine signaling and metabolic pathways as the major pathways activated in chronic HCV. Combinatorial target prediction analysis of miRNA expression along with gene expression analysis indicated that differentially expressed microRNAs in HCV significantly impact transforming growth factor beta (TGF-β) signaling pathway, cell adhesion (integrin expression), chemokine signaling, Notch signaling and cell-cycle( Cyclin D,K) regulation. Overall these results demonstrate that chronic HCV infection induces specific miRNA signatures that will modulate genes involved in the cytoskeletal remodeling and cytokine signaling that can promote the development of fibrosis following HCV infection.
2012-06-15 | GSE38226 | 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.
2011-06-11 | GSE29889 | GEO