Project description:A large part of liver cancer is caused by hepatitis B virus (HBV) infection. In recent years, more and more reports have proved that circular RNAs (circRNAs) has a regulatory effect on the development of cancers, but the role of circRNAs in HBV-positive liver cancer needs to be further studied. In this study, the abnormally expressed circRNAs in two HBV-positive liver cancer cells compared to another two HBV-negative liver cancer cell lines were identified through microarray analysis. This study provides a comprehensively circRNA expression profiling in HBV-positive liver cancer cells, which is meaning for the mechanism study of circRNAs in HBV-related liver cancer.
Project description:We analyzed three clinical parameters with gene expression data from 122 liver tissues. Six healthy samples were used in validation. All hepatitis samples were HBV infected, which was validated by positive HBsAg or serum HBV-DNA. The samples with HCV infection or metabolic liver injury (e.g. fatty liver, chronic alcoholic hepatitis, etc.) were excluded. This dataset is part of the TransQST collection.
Project description:The presentation of virus-derived peptides by HLA class I molecules on the surface of an infected cell and the recognition of these HLA-peptide complexes by, and subsequent activation of, CD8+ cytotoxic T cells provides an important mechanism for immune protection against viruses. Recent advances in proteogenomics have allowed researchers to discover a growing number of unique HLA-restricted viral peptides, resulting in a rapidly expanding repertoire of targets for immunotherapeutics (i.e. bispecific antibodies, engineered T-cell receptors (TCRs), chimeric antigen receptor T-cells (CAR-Ts)) to infected tissues. However, genomic variability between viral strains, such as Hepatitis-B virus (HBV), in combination with differences in patient HLA alleles, make it difficult to develop therapeutics against these targets. To address this challenge, we developed a novel proteogenomics approach for generating patient-specific databases that enable the identification of viral peptides based on the viral transcriptomes sequenced from individual patient liver samples. We also utilized DNA sequencing of patient samples to identify HLA genotypes and assist in target selection. Liver samples from 48 HBV infected patients, primarily from Asia, were examined to reconstruct patient-specific HBV genomes, identify regions within the human chromosomes targeted by HBV integrations and obtain a comprehensive view of HBV peptide epitopes using our HLA class-I (HLA-I) immunopeptidomics discovery platform. Two previously reported HLA associated HBV-derived peptides, HLA-A02 binder FLLTRILTI (S194-202) from the large surface antigen and HLA-A11 binder STLPETTVVRR (C141-151) from the capsid protein were validated by our discovery platform, but both were detected at a very low frequencies. In addition, we identified and validated, using heavy peptide analogues, novel strain-specific HBV-HLA associated peptides, such as GSLPQEHIVQK (P606-616) and variants. Overall, our novel approach can guide the development of bispecific antibody, TCR-T, or CAR-T based therapeutics for the treatment of HBV-related HCC and inform vaccine development.
Project description:Hepatitis B virus (HBV) infection is a leading risk factor for liver fibrosis (LF) and hepatocellular carcinoma. Emerging evidence indicates that host genetic, virological and immunological factors will influence the fibrotic progress. Many previous studies have focused on specific pathways or genes included in LF mechanism, however global view of the whole genome expresion profile in HBV related LF patients never been studied, and the mechanisms underlying the promotion of liver fibrosis progression remain obscure. Here we collected liver biopsy samples from 124 chronic hepatitis B (CHB) patients and used Affymetrix HG U133 Plus 2.0 microarray to quantify the transcriptome of these patients. Through integrated data analysis, including geneset enrichment analysis (GSEA), weighted gene co-expression analysis (WGCNA), differential expressed gene (DEG) screening, trend test, principle component analysis (PCA) etc., we identified several key pathways and hub genes participated in the initiation and exacerbation of liver fibrotic progress. The function of these hub genes were also validated by in vitro and in vivo experiments using HepG2, Huh7 and LX-2 cell lines and transgenic mice. This is the first large-scale study investigating the gene expression profile in HBV-related LF patients which will be crucial for unlocking the gene functions and gene-gene correlations in fibrosis progress. Liver biopsy samples from 124 CHB patients were collected. The pathological Scheuer Score of each sample were evaluated base on the inflamation and fibrosis severity. Gene expresson of samples in different stage were compared and analyzed. This dataset is part of the TransQST collection.
Project description:Hepatitis B virus (HBV) infection is a leading risk factor for liver fibrosis (LF) and hepatocellular carcinoma. Emerging evidence indicates that host genetic, virological and immunological factors will influence the fibrotic progress. Many previous studies have focused on specific pathways or genes included in LF mechanism, however global view of the whole genome expresion profile in HBV related LF patients never been studied, and the mechanisms underlying the promotion of liver fibrosis progression remain obscure. Here we collected liver biopsy samples from 124 chronic hepatitis B (CHB) patients and used Affymetrix HG U133 Plus 2.0 microarray to quantify the transcriptome of these patients. Through integrated data analysis, including geneset enrichment analysis (GSEA), weighted gene co-expression analysis (WGCNA), differential expressed gene (DEG) screening, trend test, principle component analysis (PCA) etc., we identified several key pathways and hub genes participated in the initiation and exacerbation of liver fibrotic progress. The function of these hub genes were also validated by in vitro and in vivo experiments using HepG2, Huh7 and LX-2 cell lines and transgenic mice. This is the first large-scale study investigating the gene expression profile in HBV-related LF patients which will be crucial for unlocking the gene functions and gene-gene correlations in fibrosis progess.
Project description:To determine host factors that regulate HBV, cells positive for and negative for HBV were compared. We identified three transcription regulators (HNF4A1, HNFA2, HNFA3) that support HBV replication
Project description:The pathological and physiological characteristics between HBsAg-positive HBV infection and occult hepatitis B infection (OBI) are currently unclear. This study aimed to explore the immune microenvironment in the peripheral circulation of OBI patients through proteomic sequencing, and to identify molecular biomarkers for clinical diagnosis of HBsAg-positive HBV and OBI. This research involved collection of plasma from 20 patients with OBI (negative for HBsAg but positive for HBV DNA, with HBV DNA levels < 200 IU/mL), 20 patients with HBsAg-positive HBV infection, and 10 healthy individuals. Mass spectrometry-based detection was used to analyze the proteome.
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.
Project description:Objective Circular RNAs (circRNAs) are covalently closed, endogenous non-coding RNAs. CircRNAs play a vital role in liver diseases, acting as microRNA (miRNA) sponges. However, the angiogenic role of circRNA remains unknown in liver fibrosis and is the focus of this study. Methods Liver fibrosis was induced by thioacetamide (TAA), or carbon tetrachloride (CCl4) in mice. CircRNA-microarray, AGO2-RNA immunoprecipitation (RIP), and RNA-seq were utilized to explore the hepatic circRNAs profile. The qPCR and PCR-gel electrophoresis analysis were used to investigate the characterization of circRNA-007371. Liver tissues and EMOA murine endothelial cells were used to verify the angiogenic mechanism of circRNA-007371. Results The increased collagen deposition, pseudolobule formation, and angiogenesis were observed in murine liver induced by TAA and CCl4. CircRNA-microarray in TAA-induced fibrotic murine liver indicated that the expression of circRNA-007371 was up-regulated. Moreover, AGO2-RIP and PCR analysis showed that circRNA-007371 had the characterization of circRNAs and played a role as competing endogenous RNAs (ceRNA) sponging miR-200a. In vitro, circRNA-007371 promoted the ability of migration, growth, and blood vessel formation in EMOA murine endothelial cells using wound healing and tube formation assay. The AGO2-RIP and RNA-sequencing analysis in overexpression circRNA-007371 EMOA murine endothelial cells demonstrated that circRNA-007371 upregulates the stromal antigen 1 (Stag1) via spouse of miR-200a and HIF-1 signaling pathway might participate in the angiogenesis. Conclusions This study discovers that circRNA-007371, a novel ceRNA, is up-regulated, and enhances the angiogenesis via angiocrine role to regulate the STAG1-miR-200a-5p signaling pathway in liver fibrosis.