Project description:Tumor samples and matching healthy tissue from 23 human hepatocellular carcinoma (HCC) patients and one hepatocellular adenoma patient were collected after surgical resection. Total RNA was harvested and sequenced with a strand-specific single-end RNA-seq protocol.
Project description:Hepatocellular carcinoma (HCC) is currently the third leading cause of death worldwide and the most common type of primary liver cancer, finding noninvasive biomarkers for HCC diagnostic and prognostic are very urging. Previous genomic studies mainly focus on finding miRNA biomarkers for HCC. In this study, we focus on finding long noncoding RNA fragments suitable for serving as hcc biomarkers with plasma and exosomal RNA-seq
Project description:Dysregulation of genes and associated mRNAs plays critical roles in the etiology and progression of hepatocellular carcinoma (HCC). Previous transcriptomic studies of HCC have been largely focused on Asian populations based on microarray platforms. Next generation-based RNA sequencing has provided an unparalleled power and opportunities to comprehensively characterize HCC at the whole transcriptome level.
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
Project description:Sonodynamic therapy is an important approach in the treatment of hepatocellular carcinoma. A novel targeted nanobubbles loaded with HMME and LND was structured as sensibilizer, characterized the properties, and studied therapeutic effect on hepatocellular carcinoma. Next-generation high throughput RNA sequencing (RNA-Seq) was performed to accurately analyze the differential expression of mRNAs and lncRNA targets in hepatocellular carcinoma after sonodynamic therapy.
Project description:The aim of this study is to identify by Next Generation Sequencing - RNA-seq profiling a molecular signature of Hepatocellular Carcinoma samples that correlates with survival. The samples were retrospectively derived from hepatocellular carcinoma tissue as well as non-tumor tissue from the livers of the same patients. The bioinformatical analysis of 32 pairs RNA-seq datasets were obtained from human RNAs on Illumina Hiseq-PE150. Due to the lack of biological sample duplication, this datasets were used hisat2 2.1.0 and gfold v1.1.4 for expression analysis to identify differences in gene expression between tumors and adjacent tissues. (including up- and down-regulation).