Project description:The transcriptomics changes induced in the human liver cell line HepG2 by 17 hepatotoxic compounds, 5 non-hepatotoxic compounds and solvent controls after treatment for 24h The study investigated differential gene expression in HepG2 cell line mRNA following 24 hours of exposure to 17 hepatotoxic compounds, 5 non-hepatotoxic compounds and solvent controls. Three biological replicates per compound/solvent. In total 105 arrays .
Project description:The transcriptomics changes induced in the human liver cell line HepG2 by 17 hepatotoxic compounds, 5 non-hepatotoxic compounds and solvent controls after treatment for 24h
Project description:The transcriptomics-based in vitro assay for predicting chemical genotoxicity in vivo published by Magkoufopoulou et al (2012) was validated by the independent study performed in HepG2 cells for which the gene expression data are described here. The data were reanalyzed for the OpenRiskNet project (Horizon2020 EINFRA-22-2016 Programme; Grant Agreement 731075).
Project description:The lack of accurate in vitro assays for predicting in vivo toxicity of chemicals together with new legislations demanding replacement and reduction of animal testing has triggered the development of alternative methods. This study aimed at developing a transcriptomics-based in vitro prediction assay for in vivo genotoxicity. The transcriptomics changes induced in the human liver cell line HepG2 by 34 compounds after treatment for 12h, 24h and 48h were used for the selection of gene-sets that can discriminate between in vivo genotoxins (GTX) and in vivo non-genotoxins (NGTX). By combining publicly available results for these chemicals from standard in vitro genotoxicity studies with transcriptomics, we developed several prediction models. These models were validated by means of an additional set of 28 chemicals. The study investigated differential gene expression in HepG2 cell line mRNA following 12 hours of exposure to 34 different compounds and their solvents; 24 and 48 hours of exposure to 62 different compounds and their solvents. Three biological replicates per compound/solvent. In total 560 arrays .
Project description:HepG2 cells were exposed for 24 hours to the IC20 (72hr MTT) dose of various pesticides and related compounds selected from the EPA Toxcast phase 1 set. This is the first part of two batches of experiments, these experiments were used as a training set and the second batch as a validation set.
Project description:This study provides an evaluation of changes in gene expression associated with treating human HEPG2 cells with 34 different chemical compounds. Gene expression experiments studies were performed in triplicate (n=3) with the cells for each replicate treated and harvested on separate days. This series is part of a SuperSeries in which human toxicology-relevant cell lines were treated with three doses of 34 chemical compounds (and corresponding vehicle controls) for 6 hours. Each compound/vehicle treatment group was an individual study performed at different times. Each study was analyzed separately and themes common between studies were reported.
Project description:HepG2 cells were exposed for 24 hours to the IC20 (72hr MTT) dose of various pesticides and related compounds selected from the EPA Toxcast phase 1 set. This is the first part of two batches of experiments, these experiments were used as a validation set and the first batch as a training set.
Project description:This study provides an evaluation of changes in gene expression associated with treating human HEPG2 cells with 34 different chemical compounds. Gene expression experiments studies were performed in triplicate (n=3) with the cells for each replicate treated and harvested on separate days.
Project description:Paeony root has long been used for its anti-inflammatory effects. In this study, the effects of albiflorin, paeoniflorin, and paeonol, compounds from paeony root, on gene expression profiles were examined in macrophages. The RAW264.7 macrophages were treated with LPS in the presence or absence of albiflorin, paeoniflorin, or paeonol. Global mRNA expression levels were detected by using an oligonucleotide microarray platform covering the mouse whole genome. Our results demonstrate that paeonol has extensive inhibitory effects on the regulation of inflammation-associated gene expression by LPS in macrophages. In addition, the predominant effect of paeonol among the tested compounds suggests that paeonol may be a major ingredient for the anti-inflammatory effect of paeony root. Keywords: RAW264.7; macrophage; inflammation; LPS; Paeony root components; dose response
Project description:To determine the impact of RNA quality on the expression profiles generated by an in vitro HepG2 Cell line model to challenge with a panel of Pharmaceutical compounds.