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Expression data for HepG2 cells treated with 34 different chemicals

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE69850 | GEO | 2016/03/28

SECONDARY ACCESSION(S): PRJNA286932

REPOSITORIES: GEO

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Expression data for HepG2 cells treated with 34 different chemicals

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.

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Expression data for HepaRG cells treated with 34 different chemicals

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Expression data for MCF7 cells treated with 34 different chemicals

Project description:This study provides an evaluation of changes in gene expression associated with treating human MCF7 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.

2016-03-28 | E-GEOD-69845 | biostudies-arrayexpress

Expression data for Ishikawa cells treated with 34 different chemicals

Project description:This study provides an evaluation of changes in gene expression associated with treating human Ishikawa 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.

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Burkholderia thailandensis 34 strain:34

Project description:Burkholderia thailandensis 34 strain:34 Genome sequencing

| PRJNA178704 | ENA

A novel anti-hepatitis B virus regent iCDM-34 reveals suppression of cccDNA accompanied with aryl hydrocarbon receptor activation

Project description:Background & Aims: IFN-alpha and -gamma have been reported to suppress cccDNA via APOBEC3 cytidine deaminase activity, and CDM-3008, an IFNAR2 agonist, also suppress cccDNA through interferon signaling. In order to develop a novel anti-HBV drug for functional or complete cure, we performed in silico screening using a structure of CDM-3008-binding pocket in IFNAR2. Approach & Results: The binding pocket of CDM-3008 in IFNAR2 was determined by LC-MS/MS using a CDM-3008-based molecular probe, CDM-3095 and a recombinant protein of IFNAR2 extracellular region. We conducted in silico screening of the binding compounds fitting the steric structure of the pocket. We identified 37 compounds and named them iCDM-1–37. We found that iCDM-34 showed anti-HCV and anti-HBV activities. We measured the anti-HBV activity of iCDM-34 with or without entecavir (ETV). iCDM-34 suppressed pregenome RNA, covalently closed circular DNA (cccDNA), HBsAg, and HBeAg and clearly exhibited synergistic inhibitory effects with ETV. Metabolic stability of iCDM-34 was measured in human, mouse, and rat microsomal fractions. iCDM-34 was stable in human liver microsomal fraction. Furthermore, anti-HBV activity in human hepatocyte-chimeric mice revealed that iCDM-34 was not effective as a single agent, but when combined with ETV, it suppressed HBV DNA and cccDNA compared to ETV alone. Phosphoproteome analysis showed no activation of IFN signaling with iCDM-34 treatment. Transcriptome analysis of interferon-stimulated genes (ISGs) revealed no increase in the expression, while downstream factors of aryl hydrocarbon receptor (AhR) showed increased expression. Conclusion: iCDM-34 is a novel anti-HBV drug that induces AhR activation and suppresses cccDNA. Conclusion: iCDM-34 is a novel anti-HBV drug that induces AhR activation and suppresses cccDNA.

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Effects of environmental chemicals on development of neuronal cell lineages derived from mouse ES cells

Project description:This study provides a comprehensive evaluation of changes in gene expression during treatment with environmental chemicals in embryonic bodies derived from mouse embryonic stem (ES) cells. ES cells were maintained under the feeder cells in phenol red-free DMEM Medium (supplemented with 15% FBS, 100uM Non-essential amino acids (NEAA), 1000U/ml Leukemia inhibitory factor(LIF), 100uM 2-mercaptoethanol(2-ME), and 0.5% penicillin/streptomycin). Cells were gently washed in warm PBS and transferred to phenol red-free DMEM Medium (supplemented with 15% KnockOut Serum Replacement, 100uM NEAA, 100uM 2-ME, and 0.5% penicillin/streptomycin) in Microsphere array (MSA300F) and exposed with low and high levels of each chemical just after removing LIF from the culture media. Prior to collection, cells were washed in warm PBS, resuspended and briefly incubated in the QIAGEN RLT buffer, and finally collected in triplicate at 48 hours. Following RNA isolation, the best RNA yields for each replicate set was selected for target preparation and microarray processing.

2009-10-10 | GSE18503 | GEO

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