Transcriptomic responses of human hepatocellular carcinoma cells (HepG2/C3A) to dust, flame retardants and dimethylbenzanthracene
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ABSTRACT: Human HepG2/C3A cells were exposed to indoor dust reference material SRM2585; DMBA (dimethylbenzanthracene); HBCD (hexabromocyclododecane); two different mixtures of flame retardants (all dissolved in 0.1% DMSO) or 0.1% DMSO alone for 72h. RNA was prepared and labeled with Cy3 then hybridized to Agilent SurePrint G3 Human GE v2 8x60k Microarrays, Agilent design ID 039494.
Project description:Human cell cultures A549 and HepG2/C3 were exposed to 0-100 micromolar Tris(1,3-dichloro-2-propyl)phosphate (TDCIPP) in 0.5% DMSO or to 0.5% DMSO alone for 24 h. RNA was prepared and labeled with Cy3. Agilent SurePrint G3 Human GE v2 8x60k Microarrays, Agilent design ID 039494, were used to profile transcriptional responses to TDCIPP.
Project description:SurePrint G3 Human Gene Expression 8x60k oligonucleotide microarrays (Design ID: 039494,Agilent) were used to characterize gene expression profiles of HepG2/C3A cells exposed to HBCD (hexabromocyclododecane) or DMBA (dimethylbenzanthracene) for 24 hours.
Project description:In this study we aimed to identify the molecular pathways modified by the false positive genotoxins Quercetin, 8-Hydroxyquinoline and 17beta-Estradiol that may explain their in vitro genotoxic and their in vivo non-genotoxic effects, by combining in vitro transcriptomics with phenotypic data. The effects of the false positive genotoxins were compared to the effects of the true genotoxins Benzo[a]pyrene and Aflatoxin B1 and the non-genotoxins 2,3,7,8-Tetrachlorodibenzodioxin, Cyclosporin A and Ampicillin C. <br><br>A custom CDF for use with the processed data file is available on the FTP site for this experiment.
Project description:The integration of different M-^SomicsM-^T technologies has already been shown in several in vivo studies to offer a complementary insight into cellular responses of toxic processes. We therefore hypothesize that the combining of transcriptomics and metabonomics data may improve the understanding of molecular mechanisms underlying non-genotoxic carcinogenicity in vitro. To test this hypothesis, the human hepatocarcinoma cell line HepG2 was exposed to the well known environmental pollutant TCDD. <br><br>A custom CDF file is available on the FTP site for this experiment (in file E-MEXP-2817.additional.zip) for use with the normalized data file for this experiment.
Project description:Direct comparison of the hepatoma cell lines HepG2 and HepaRG using whole genome gene expression analysis before and after exposure to the GTX carcinogens AFB1 and BaP and the NGTX carcinogens CsA, E2 and TCDD for 12 and 48 h.
Project description:Gene expression profiles comparing FCCP, CCCP, 6OH-BDE47, Ethylenglycol, TCP, PCP, Aniline, chloroaniline, DMSO in C3A cells C3A cells were exposed for 2 hours to substances, 6 replicate wells per concentration were pooled. Total RNA was extracted using RNeasy Mini Kit (QUIAGEN, Product 74104, Hombrechtikon, Switzerland). Quality of extracted RNA was checked via the Nanodrop 1000 spectraphotomoeter V3.7, as well as running the samples on a 1.5% agarose gel. cDNA was generated and labeled with Cy3 or Cy5-CTP using the low RNA input linear amplification kit (Perkin-Elmer). Total RNA was reverse transcribed to cDNA using RNasin® Plus RNAse Inhibitor (N2611), M-MLV Reverse transcriptase (RNase H Minus, Point Mutant) (M3682), 5x Buffer (M3682) and random primer (C1181) from Promega AG (product number in brackets) (Promega AG, Dübendorf, Switzerland). For Microarray analysis Agilent SurePrint G3 Human Gene Expression Microarrays (8x60K) were used. Each treatment and controls consisted of three biological replicates.
Project description:Gene expression profiles comparing FCCP, CCCP, Dinoterb, Benzoapyrene, TCP, Medium control, 0,1% DMSO in C3A cells C3A cells were exposed for 2 hours to substances, 6 replicate wells per concentration were pooled. Total RNA was extracted using RNeasy Mini Kit (QUIAGEN, Product 74104, Hombrechtikon, Switzerland). Quality of extracted RNA was checked via the Nanodrop 1000 spectraphotomoeter V3.7, as well as running the samples on a 1.5% agarose gel. cDNA was generated and labeled with Cy3 or Cy5-CTP using the low RNA input linear amplification kit (Perkin-Elmer). Total RNA was reverse transcribed to cDNA using RNasin® Plus RNAse Inhibitor (N2611), M-MLV Reverse transcriptase (RNase H Minus, Point Mutant) (M3682), 5x Buffer (M3682) and random primer (C1181) from Promega AG (product number in brackets) (Promega AG, Dübendorf, Switzerland). For Microarray analysis Agilent SurePrint G3 Human Gene Expression Microarrays (8x60K) were used. Each treatment consisted of two biological replicates, the control consisted of three biological replicates.
Project description:The immunopeptidome is constantly monitored by T cells to detect foreign or aberrant HLA peptides. It is highly dynamic and reflects the current cellular state, enabling the immune system to recognize abnormal cellular conditions, such as those present in cancer cells. To precisely determine how changes in cellular processes, such as those induced by drug treatment, affect the immunopeptidome, quantitative immunopeptidomics approaches are essential. To meet this need, we developed a pulsed SILAC-based method for quantitative immunopeptidomics. Metabolic labeling with lysine, arginine, and leucine enabled isotopic labeling of nearly all HLA peptides across all HLA allotypes (> 90% on average). We established a data analysis workflow that integrates the de novo sequencing-based tool Peptide-PRISM for comprehensive HLA peptide identification with MaxQuant for accurate quantification. We employed this strategy to explore the modulation of the immunopeptidome upon MAPK pathway inhibition and to investigate alterations associated with acquired resistance to BRAF and MEK inhibitors. Our analyses demonstrated significant changes in the immunopeptidome following MAPK pathway inhibition, as well as in cells resistant to BRAF/MEK inhibitors. Moreover, we identified putative tumor-specific cryptic HLA peptides linked to these processes.
Project description:Estrogeh insensitivity syndrome (EIS) arises from rare mutations in ERα resulting in the inability of estrogen to exert its biological effects. Due to the rarity, mutations in ESR1 gene and the underlying molecular mechanisms of EIS have not been thoroughly studied. We used RIME (Rapid Immunoprecipitation Mass spectrometry of Endogenous proteins) analysis to compare the interactions for ER alpha between the WT ER alpha and Q375H clinical mutant in HepG2 stable cells.
Project description:Surgical glaucoma therapy is characterized by implantation of an aqueous shunt either draining into the extraocular Tenon’s space or the intraocular suprachoroidal space. In both cases the long term drainage is hampered by fibrotic reactions around the outflow region of the shunt. The prevention of fibrosis should extend the operating life of the shunt. For an aqueous shunt draining from the anterior chamber into the choroidal space fibroblasts from the choroidea and/or the sclera are most likely responsible for a fibrotic response around the outflow region of such a shunt. A detailed characterization of fibroblasts derived from choroidea and sclera should provide information whether a fibrosis reaction can be inhibited by cell type specific agents. Therefore, we have decided to generate mRNA profiles of fibroblasts from the choroidea, sclera and Tenon’s space in order to look for potential pharmacological targets for fibrosis prevention. The three fibroblast types investigated share fibroblast specific gene expression patterns, concerning extracellular matrix proteins as collagens and fibronectin, but also show distinct mRNA patterns, which we plan to search for targets responsible for fibrotic processes which hopefully can be targeted by specific antifibrotic drugs. Three human fibroblast cell type cultures from different ocular tissues were established: sclera fibroblasts (hSF), choroidea fibroblasts (hCF), and Tenon’s space fibroblasts (hTF). For the gene expression analysis n = 5 for hCF, n = 4 for hSF, and n = 5 for hTF donor cells were cultivated from different donors. After appropriate cultivation, cells were harvested, RNA was extracted, purified and quantity and quality was assessed. All total RNA samples were analyzed by Affymetrix' Whole-Transcript Expression Analysis & Profiling Human Gene ST Arrays, respectively. In this set-up, we run = 5 arrays for hCF, n = 4 arrays for hSF, and n = 5 arrays for hTF i.e. one array per biological replicate. No technical replication was carried out. Microarray data analysis was carried out by using the Rosetta Resolver® system for gene expression data analysis (Rosetta Biosoftware, Seattle, WA, USA). In brief, the raw signals of the probes were summarized using RMA thereby generating probe set specific signal intensities. Chips were normalized by using quantile normalization. To compare RNA expression levels of genes in hCF, hSF and hTF, normalized expression signals of genes from corresponding samples were averaged and fold changes were calculated. To assess differences in mean signal intensities between experimental groups, ANOVA (analysis of variance, with Benjamini Hochberg test correction) and a post-hoc Scheffe test was performed. Rosetta Resolver ratio built statistics to correct for possible signal intensity bias were also considered. Only genes (1) an absolute fold change of ≥ 1.5 together with a Scheffe test p value ≤ 0.05 in at least one of the three pairwise comparisons hCF vs. hTF, hSF vs. hTF and hCF vs. hSF, resp., as well as (2) a ratio built p value ≤ 0.05 were deemed differentially expressed genes (DEG) and considered for further evaluation.