BACKGROUND & AIMS: Cells of tumors associated with chronic inflammation frequently have altered patterns of DNA methylation, including hepatocellular carcinomas. Chronic hepatitis has also been associated with aberrant DNA methylation, but little is known about their relationship. METHODS: Pyrosequencing was used to determine the methylation status of cultured Huh7.5.1 hepatoma cells after hepatitis C virus (HCV) infection. We also studied mice with severe combined immunodeficiency carrying the ...[more]
Project description:We perform genome wide methylation analysis using 33 clinical samples, which were obtained from patients who underwent surgical resection at the Aichi Cancer Center Hospital in accordance with institutional policies. The purpose of this experiment is revealing the methylation status affected by hepatitis viral infection.
Project description:Compare the global methylation profile of 20 malignant pleural mesotheliomas and lung adenocarcinomas. A DNA mixture of two normal mesothelium tissues was used as a reference for the mesotheliomas and a mixture of five normal lung tissues used as the reference for the lung adenocarcinomas
Project description:A large-scale characterization of the methylation states of candidate CpG islands (CGIs) throughout the gastric cancer methylome has not previously been conducted. Genome-wide DNA methylation profiles were compared between 4 metastatic and 4 non-metastatic gastric carcinomas (GCs) and their surgical margins (SMs). The GC genome showed significantly higher proportions of hypomethylation in the promoter and exon-1 regions, as well as increased hypermethylation of intragenic fragments when compared to SMs. Differential methylation was observed in CGIs near transcription start sites of 546 genes between GCs and SMs, and 601 genes between metastatic and non-metastatic GCs. From the list of differentially methylated CGIs, 68 candidate genes and 10 known tumor-related genes were selected for further characterization based on their known molecular function using DHPLC. Significant differential methylation was validated in the CGIs of 15 genes between GCs and SMs (Ps<0.05) and confirmed using bisulfite-sequencing. These genes include BMP3, BNIP3, CDKN2A, ECEL1, ELK1, GFRA1, HOXD10, KCNH1, PSMD10, PTPRT, SIGIRR, SRF, TBX5, TFPI2, and ZNF382. Hypomethylation of CGIs correlated with up-regulation of GFRA1 expression in GCs, while hypermethylation of other genes inactivated their transcription. Most importantly, prevalence of GFRA1, SRF, and ZNF382 methylation alterations were inversely and coordinately associated with GC metastasis and the patients’ overall survival throughout discovery and testing cohorts in China as well as independent validation cohorts in Japan and Korea. In conclusion, methylation changes in the CGIs of 15 genes correlated strongly with GC development. GFRA1 hypomethylation and SRF and ZNF382 hypermethylation are potential synergistic biomarkers for the prediction of GC metastasis. To identify differential methylation of CGIs related to GC development and metastasis, genome-wide DNA methylation changes in 8 pairs of GC and SM samples were analysed using the MCAM assay with a 99K custom-designed Agilent oligonucleotide microarray composed of 99,027 probes targeting 6,177 unique protein-coding genes containing at least two methylation-sensitive/insensitive SmaI/ XmaI restriction sites (CCC|GGG/ C|CmCGGG) as described in Shen et al, PLoS Genet 3, 2023-2036 (2007).
Project description:Chronic hepatitis C virus (HCV) infection is a leading cause of liver cancer. HCV propagation and oncogenicity depend in part on the phosphorylation states of its non-structural protein 5A (NS5A); however, little is known about how hypo- or hyper-phosphorylated NS5A functions. Here, we segregated hypo- from hyper-phosphorylated NS5A in HCV-infected Huh7.5.1 cells with two custom-made specific antibodies and differentiated their interacting proteins with dimethyl labeling-based quantitative proteomics. Bioinformatics analysis revealed that hyper-phosphorylated NS5A preferentially binds the polymerase II-associated factor 1 complex known to alter host gene expression involved in cancer progression. In contrast, hypo-phosphorylated NS5A binds proteins involved in host antiviral response. Moreover, we found that the hypo-phosphorylated NS5A binds DNA-dependent protein kinase catalytic subunit (DNA-PKcs) predicted to phosphorylate NS5A at serine 232, a key amino acid that governs NS5A transition from hypo- to hyper-phosphorylation state. Inhibition of DNA-PKcs with an inhibitor or via gene-specific knockdown significantly reduced serine 232 phosphorylation and NS5A hyper-phosphorylation. Collectively, we have identified a protein kinase that regulates a delicate balance of NS5A between hypo- and hyper-phosphorylation states respectively involved in host antiviral responses and liver cancer progression.
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of transcriptome in mazie plants. The ZmPIS gene coding PtdIns synthase from maize with a maize ubiquitin promoter was transferred into maize. The transgenic ZmPIS maize showed enhanced drought tolerance compared to non-transgenic maize. The differentially expressed genes between wide-type maize and transgenic ZmPIS maize were detected by the assay of digital gene expression profile and real time RT-PCR datas. The results displayed that the overexpression of ZmPIS resulted in the expression levels changes of a large number of genes including genes involved in the phosphatidylinositol (PI) metabolic pathway, photosynthesis metabolism, carbohydrate metabolism, aminoacid metabolism and genes coding transcription factors. Examination of The differences of the transcriptional profile between wide-type maize and transgenic ZmPIS maize and analysis of the network regulated by the ZmPIS gene
Project description:Purpose: AURKA plays an important role in breast cancer development. Exploring the gene expression profiles regulated by AURKA will facilitate to understand the mechanism which is responsible for AURKA induced breast cancer development. Results: We found that 350 genes were significantly up-regulated during AURKA overexpression in MCF-10A cells, 346 genes were significantly down-regulated during AURKA overexpression in MCF-10A cells. Conclusions: Our study indicated that 696 differentially expressed genes might contribute to AURKA induced breast cancer development. MCF-10A cells overexpressed AURKA or the empty vector were subjected to RNA extraction. The resulted RNA samples were performed RNA-sequencing analyses of gene expression profiles.