041c8544-f048-4582-89a7-50f7e5aceaaa - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001009427 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:8 pregnant women at the 3rd trimesters, 4 hepatitis B carriers, and 4 patients with hepatocellular carcinoma
| EGAS00001006609 | EGA
Project description:31 pregnant women at different trimesters, 6 hepatitis B carriers, and 8 patients with hepatocellular carcinoma
| EGAD00001008980 | EGA
Project description:In this study, we compared the two long-read sequencing platforms, namely the single-molecule real-time sequencing by Pacific Biosciences and nanopore sequencing by Oxford Nanopore Technologies, for the analysis of cell-free DNA from plasma. Cell-free DNA from plasma samples of 31 pregnant women at different trimesters, 6 hepatitis B carriers, and 8 patients with hepatocellular carcinoma were sequenced with the two platforms.
| EGAS00001006328 | EGA
Project description:Genome-wide DNA methylation profiling was performed in peripheral leukocytes to identify biomarkers that could track hepatitis B progression to hepatocellular carcinoma (HCC). Samples included 48 HBsAg carriers who developed HCC and 48 HBsAg carriers who did not during follow-up.
2019-03-04 | GSE78904 | GEO
Project description:Study goal is to disclose features of gene expressio profile of non-cancerous liver-infiltrating lymphocytes of type C hepatitis patients with hepatocellular carcinomas and tumor-infiltrating lymphocytes of type C hepatitis patients with hepatocellular carcinomas. Keywords: gene expression profile, non-cancerous liver-infiltrating lymphocytes, tumor-infiltrating lymphocytes, type C hepatitis, hepatocellular carcinoma Non-cancerous liver-infiltrating lymphocytes were obtained by laser capture microdissection from surgically resected liver tissues of 12 type C hepatitis patients with hepatocellular carcinoma. The mRNA was amplified and expression profile was comprehensively analyzed with reference RNA using oligo-DNA chip. Tumor-infiltrating lymphocytes were obtained by laser capture microdissection from surgically resected cancer tissues of 12 type C hepatitis patients with hepatocellular carcinoma. The mRNA was amplified and expression profile was comprehensively analyzed with reference RNA using oligo-DNA chip.
2010-06-25 | E-GEOD-10461 | biostudies-arrayexpress
Project description:Study goal is to disclose features of gene expressio profile of non-cancerous liver-infiltrating lymphocytes of type C hepatitis patients with hepatocellular carcinomas and tumor-infiltrating lymphocytes of type C hepatitis patients with hepatocellular carcinomas. Keywords: gene expression profile, non-cancerous liver-infiltrating lymphocytes, tumor-infiltrating lymphocytes, type C hepatitis, hepatocellular carcinoma
2008-02-13 | GSE10461 | GEO
Project description:A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS. A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS.
2020-03-12 | MSV000085094 | MassIVE
Project description:A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS. A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS.
2017-06-21 | PXD005777 | Pride
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:Background: The pathogenesis of hepatitis B virus (HBV)-caused hepatocellular carcinoma (HCC) is complex and not fully understood. In clinical, the effective prevention and treatment of HCC rely on the accurate diagnosis. We developed a biology network approach to investigate the potential mechanisms and biomarkers of each stages from HBV infection to HCC. Methods Global gene profiling of healthy individuals (HC), HBV carriers (HBVC), chronic hepatitis B patients (CHB), liver cirrhosis (LC) and HCC was analyzed by gene array. Differentially expressed genes (DEG) were found by RVM (Random variance model) corrective ANOVA and STC (Series Test of Cluster) analysis.
2019-10-28 | GSE114783 | GEO