DATASET_HX_WGBS_T_RUN - samples
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ABSTRACT:
PROVIDER: EGAD00001004033 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Fastq files of whole-genome bisulfite sequence of non-cancerous tissue of HBV-associated hepatocellular carcinoma
| EGAD00001004032 | EGA
Project description:miRNA played an important role in the process of carcinogenesis in HBV related hepatocellular carcinoma. Therefore, we performed miRNA microarray to evaluate the miRNAs that expressed differentially between HCC tumor versus non-tumor liver tissues. RNA was extracted from snap fresh tissue collected from resected HCC tumor and adjacent non-tumor liver tissues. All HCC tumors were HBV-associated HCC.
2015-07-22 | E-GEOD-69580 | biostudies-arrayexpress
Project description:To explore the miRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma To performe microarray analysis to detect the miRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma
2021-05-29 | GSE151441 | GEO
Project description:To explore the lncRNAs and mRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma To performe microarray analysis to detect the lncRNAs and mRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma
2019-11-15 | GSE140400 | GEO
Project description:Purpose: To gain molecular insights of HBV integration that may contribute to HCC tumorigenesis, we performed whole transcriptome sequencing and whole genome copy number profiling of hepatocellular carcinoma (HCC) samples from 50 Chinese patients. Conclusions: This is the first report on the molecular basis of the MLL4 integration driving MLL4 over-expression. HBV-MLL4 integration occurred frequently in Chinese HCC patients, representing a unique molecular segment for HCC with HBV infection. We profiled 50 Chinese Hepatocellular Carcinoma patients and 14 adjacent tissues using Agilent 244K array CGH technology. 50 Tumor samples also did RNASeq profiling.
2015-03-30 | E-GEOD-65484 | biostudies-arrayexpress
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.
2016-06-30 | E-MTAB-4809 | biostudies-arrayexpress
Project description:Background/Aims: Recurrence-free survival (RFS) following curative resection of hepatocellular carcinoma (HCC) in subjects with hepatitis C virus (HCV) infection is highly variable. Traditional clinico-pathological endpoints are recognized as weak predictors of RFS. It has been suggested that gene expression profiling of HCC and nontumoral liver tissue may improve prediction of RFS, aid in understanding of the underlying liver disease, and guide individualized therapy. The goal of this study was to create a gene expression predictor of HCC recurrence in subjects with HCV. Methods: Frozen samples of the tumors and nontumoral liver were obtained from 47 subjects with HCV-associated HCC. Additional nontumoral liver samples were obtained from HCV-free subjects with metastatic liver tumors. Gene expression profiling data was used to determine the molecular signature of HCV-associated HCC and to develop a predictor of RFS. Results: The molecular profile of the HCV-associated HCC confirmed central roles for MYC and TGF-beta1 in liver tumor development. Gene expression in tumors was found to have poor predictive power with regards to RFS, but analysis of nontumoral tissues yielded a strong predictor for RFS in late-recurring (>1 year) subjects. Importantly, nontumoral tissue-derived gene expression predictor of RFS was highly significant in both univariable and multivariable Cox proportional hazard model analyses. Conclusions: Microarray analysis of the nontumoral tissues from subjects with HCV-associated HCC delivers novel molecular signatures of RFS, especially among the late-recurrence subjects. The gene expression signature of the predictor gives important insights into the pathobiology of HCC recurrence and used in design of the individualized therapy. 43 tumor (JT) and 44 non-tumor (JNT) liver tissues surgically resected from patients with HCV-associated hepatocellular carcinoma; 8 non-tumor liver tissues (control samples, JC) surgically resected from HCV- or HBV-free patients with metastatic liver tumor. Inter-batch normalization was carried out using Distance Weighted Discrimination procedure. The supplementary file 'GSE17856_Readme.txt' contains a description of the replicates used for normalization. The 'GSE17856_US14702406_2514850*' files are the raw data files for the replicates.
2010-04-14 | E-GEOD-17856 | biostudies-arrayexpress
Project description:We applied small RNA Solexa sequencing technology to identify microRNA expression in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver, a severe chronic hepatitis B liver, two HBV-related hepatocellular carcinoma (HCC), an hepatitis C virus (HCV)-related HCC, and an HCC without HBV or HCV infection. All samples were collected with the informed consent of the patients and the experiments were approved by the ethics committee of Second Military Medical University, Shanghai, China. We investigated the miRNome in human normal liver and suggested some deregulated abundantly expressed microRNAs in HCC. center_name: National Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, China. Examination of miRNome in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver tissue, a severe chronic hepatitis B liver tissue, an HBV-related hepatocellular carcinoma (HCC) tissue and adjacent liver tissues of different regions,an HBV-related HCC tissue and adjacent liver tissue, an hepatitis C virus (HCV)-related HCC tissue and adjacent liver tissue, and an HCC without HBV or HCV infection and adjacent liver tissue. All 15 human liver tissue samples.
2010-04-10 | E-GEOD-21279 | biostudies-arrayexpress
Project description:Chromatin State Profilining using multiple histone modifications in human craniofacial tissue spanning 4.5 post conception weeks to 10 pcw The raw FASTQ sequence files are being deposited in dbGAP
2017-05-04 | GSE97752 | GEO
Project description:To find the key gene regulating HBV-infected hepacellular cacinoma genesis and development. We selected tumor (T1-8) and non-tumor tissue (NT1-8) from HBV-infected hepatocellular cacinoma (HCC) patients perform next-generation sequencing (NGS). Illumina mRNA-seq sample preparation kit was used to perform paired-end library sequencing with Illumina HiSeq 2000 and sequence analysis was determined using the Illumina data analysis pipeline. Based on the comparison results，we performed the GO and KEGG pathway enrichment analysis. That might suggest the key gene regulating HBV-infected hepacellular cacinoma genesis and development.
2024-11-30 | GSE208036 | GEO