Transcriptomic analysis of HepG2 cells overexpressing DNMT3A
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE284401 | GEO | 2024/12/23
REPOSITORIES: GEO
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Project description:Chronic hepatitis B virus (HBV) infection is the main etiology of liver fibrosis (LF), leading to cirrhosis and liver tumors. DNA methylation caused by HBV protein changes the liver microenvironment and activates hepatic stellate cells, which is an important mechanism of liver fibrosis. However, the exact mechanism remains unclear. DNA methyltransferase 3A (DNMT3A) is a major enzyme that promotes DNA methylation. HBV infection promotes the expression of DNMT3A. To determine the specific roles of DNMT3A, we used lentivirus to overexpress DNMT3A in hepatocellular carcinoma cell line (HepG2). And the changes of epigenome were analysed by RRBS.
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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.
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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.
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Project description:DNA methyltransferase 3A (DNMT3A) plays a critical role in establishing and maintaining DNA methylation patterns, essential for the dynamic organization of vertebrate genomes. However, the mechanisms underlying DNMT3A1's recruitment and function within different chromatin environments remain unclear. We find that DNMT3A interacts with modified nucleosomes through multivalent interactions, involving both direct binding to chromatin features and site-specific post-translational histone modifications.
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Project description:Hepatitis B virus (HBV) is an enveloped, coated, non-cytopathic and hepatotropic partially double-stranded DNA virus in the family Hepadnaviridae genus Orthohepadnavirus. Despite significant progress in the availability of safe vaccines and antiviral therapies against HBV, it still affects approximately 257 million people worldwide and is responsible for about 887,000 deaths per year around the world [4]. HBV infection, which are associated with acute and chronic liver failure responses to viruses attacked the liver, can result in inactive carrier state, chronic hepatitis, or fulminant hepatitis and put them at high risk to develop advanced liver fibrosis and cirrhosis, and even hepatocellular cancer. Many viral factors, which could affect the disparity of clinical outcomes or disease prognosis during chronic HBV infection, have been reported in previous studies; among them, the viral genotype, as well as HBV mutations ascribing the virus to a certain phenotype, was reported to be the most important factor influencing viral pathogenesis, including the change of host immune recognition, the enhanced virulence with increased HBV replication and the facilitation of cell attachment or penetration.
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Project description:In the HBV transgenic mouse model of chronic infection, the forkhead box protein A/hepatocyte nuclear factor 3 (Foxa/HNF3) family of pioneer transcription factors are required to support postnatal viral demethylation and subsequent HBV transcription and replication. Liver-specific Foxa-deficient mice with hepatic expression of only Foxa3 do not support HBV replication but display biliary epithelial hyperplasia with bridging fibrosis. However, liver-specific Foxa-deficient mice with hepatic expression of only Foxa1 or Foxa2 also successfully restrict viral transcription and replication but display only minimal alterations in liver physiology. These observations suggest that the level of Foxa activity, rather than the combination of specific Foxa genes, is a key determinant of HBV biosynthesis. Together, these findings suggest that targeting Foxa activity could lead to HBV DNA methylation and transcriptional inactivation, resulting in the resolution of chronic HBV infections which are responsible for approximately one million deaths annually worldwide.
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Project description:In the HBV transgenic mouse model of chronic infection, the forkhead box protein A/hepatocyte nuclear factor 3 (Foxa/HNF3) family of pioneer transcription factors are required to support postnatal viral demethylation and subsequent HBV transcription and replication. Liver-specific Foxa-deficient mice with hepatic expression of only Foxa3 do not support HBV replication but display biliary epithelial hyperplasia with bridging fibrosis. However, liver-specific Foxa-deficient mice with hepatic expression of only Foxa1 or Foxa2 also successfully restrict viral transcription and replication but display only minimal alterations in liver physiology. These observations suggest that the level of Foxa activity, rather than the combination of specific Foxa genes, is a key determinant of HBV biosynthesis. Together, these findings suggest that targeting Foxa activity could lead to HBV DNA methylation and transcriptional inactivation, resulting in the resolution of chronic HBV infections which are responsible for approximately one million deaths annually worldwide.
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Project description:DNA methyltransferase 3A (DNMT3A) plays a critical role in establishing and maintaining DNA methylation patterns. However, the mechanisms underlying DNMT3A recruitment to and function within different chromatin environments remain unclear. Using a combination of biochemical and structural approaches we find that DNMT3A interacts using multiple interfaces with chromatin; directly binding generic nucleosome features as well as site-specific post-translational histone modifications. The N-terminal region, unique to the DNMT3A1 isoform, is essential for these interactions and stabilises H3K36me2-nucleosome recruitment. Intriguingly, in the same region critical for nucleosome binding we also map a ubiquitylation-dependent recruitment motif (UDR). The UDR binds specifically to ubiquitylated H2AK119, explaining the previously observed recruitment to Polycomb-occupied heterochromatin. A cryo-EM structure of DNMT3A1-DNMT3L with a modified nucleosome reveals that the UDR interacts with the nucleosome surface including the acidic patch. Previously unexplained disease-associated mutations are present in the UDR and ablate nucleosome interactions. This leads to an increased understanding of how DNMT3A1 recruitment occurs in the genome and highlights the importance of multivalent binding of DNMT3A to histone modifications and the nucleosome.
2024-10-16 | PXD056554 | Pride
Project description:Purpose: Chronic Hepatitis B virus (HBV) infection leads to liver fibrosis which is a major risk factor in Hepatocellular carcinoma (HCC) and an independent risk factor of recurrence after HCC tumor resection. HBV genome can be inserted into human genome, and chronic inflammation may trigger somatic mutations. Several studies characterized HBV integration sites in HCC patients with regard to frequently occurring hotspots. However, how HBV integration and other genomic changes contribute to the risk of tumor recurrence with regard to different degree of liver fibrosis is not clearly understood. In this study, we aim to find potential molecular mechanisms underlying tumor recurrence of HBV-associated HCC (HBV-HCC) with different degree of liver fibrosis. Methods: We performed RNA sequencing of 21 pairs of tumor and non-neoplastic liver tissues of HBV-HCC patients and performed comprehensive genomic analysis of our RNAseq data and public available sequencing data related to HBV-HCC. We developed a robust pipeline for sensitively identifying HBV integration sites based on sequencing data. Simulations with sequencing data showed that our method outperformed existing methods. We also compared SNPs of each sample with SNPs in cancer census database and inferred patient’s pathogenic SNP loads in tumor and non-neoplastic liver tissues. Conclusions: The HBV-integration and pathogenic SNP load patterns for HCC recurrence risk vary depending on liver fibrosis stage, suggesting potentially different tumorigenesis mechanisms for low and high liver fibrosis patients.
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