Project description:Transcription profile of HepG2 cells treated with hepatocyte growth factor and control cells Two condition experiment, Hep G2 vs. Hep G2-HGF. Biological replicates: 1 control and 1 HGF-treated (no replication)
Project description:Transcriptional profiling of human HepG2 cells comparing control DMSO-treated cells with K7174-treated cell Two-condition experiment, DMSO-HepG2 vs. K7174-HepG2 cells. Biological replicates: 1 control, 1 treated, independently grown and harvested. One replicate per array.
Project description:We report the high-throughput profiling of HGF treated liver cancer cell (HepG2) for differentiated genes analysis. We generated HGF stimulated and paired control HepG2 cells for 4 days. We find that tumor suppressor genes that are overexpressed and some tumor associated genes were downregulated, therefore reflect cell state and HGF induced anti-tumor potential. This study provides a potential framework for the research of HGF induced critical genes in the application of liver cancer therapy.
Project description:The proinflammatory cytokine, TNFalpha is critical in maintaining liver homeostasis since it is a major determiner of hepatocyte life and death. Considering this, gene transcription profiling was examined in control and TNFalpha treated HepG2 cells. Results indicated that TNFalpha could significantly alter the expression of a significant number of genes; most of them were functionally distributed among molecular functions like catalytic activity, binding, molecular transducer activity, transporter activity, translation and transcription regulator activities or enzyme regulator activity. Also, within genes up-regulated by TNFalpha, several GO terms related to lipid and fat metabolism were significantly overrepresented indicating global dysregulation of fat metabolism within the hepatocyte and those within the down-regulated dataset included genes involved in immunoglobulin receptor activity and IgE binding thereby indicating a compromise in immune defense mechanism(s) apart from those involved the DNA binding and protein binding categories. The interacting network of “lipid metabolism, small molecule biochemistry” was derived to be significantly affected that correlated well with the top canonical pathway of “biosynthesis of steroids” and molecular and cellular function of “lipid metabolism”. All these indicate TNFalpha to be significantly altering the transcriptome profiling within HepG2 cells with genes involved in lipid and steroid metabolism being the most favoured. This study suitably addresses the genes that determine TNFalpha mediated alterations within the hepatocyte mainly the phenotypes of hepatic steatosis and fatty liver that are associated with several hepatic pathological states. HepG2 cells were maintained in DMEM supplemented with 10% fetal calf serum with 1% antibiotic-antimycotic. On attaining confluency, cells were serum starved overnight and incubated in the absence (control) and presence of TNFalpha (0.5nM, 12h). On termination of incubation, total RNA was isolated, reverse transcribed to cDNA and subjected to in vitro transcription to produce biotinylated cRNA that was hybridized to the human array chip (Human Genome U133 Plus 2.0, Affymetrix) according to the manufacturer's instructions. Images were scanned using the GeneChip 3000 7G scanner (Affymetrix) and analysed. The experiment was performed with triplicates of each set (Control and TNF alpha treated). This experiment was reloaded in November 2010 after additional curation.
Project description:Mature microRNA expression profiling of HBx-expressing HepG2 cells versus Control cells under UV stress The mature microRNA expression profile of HBx-expressing HepG2 cells versus control cells in three independent biological repeated experiments. This study focuses only on human sequences. The complete data matrix is linked below as a supplementary file.
Project description:We used microarrays to identify a transcriptional signature of oxidative stress induced senescence in a hepatocyte cell line (HepG2) by globally assessing differential gene expression after treatment with 0.5mM of H2O2 for 60 minutes, compared to nontreated cells as a control. We performed genome-wide comparison of gene expression and identified genes that are differentially expressed in senescent HepG2 cells relative to untreated cells, 4 biological replicates per condition