Dataset Information

High-throughput metabolic genotoxicity screening with a fluidic microwell chip and electrochemiluminescence.

ABSTRACT: A high throughput electrochemiluminescent (ECL) chip was fabricated and integrated into a fluidic system for screening toxicity-related chemistry of drug and pollutant metabolites. The chip base is conductive pyrolytic graphite onto which are printed 64 microwells capable of holding one-?L droplets. Films combining DNA, metabolic enzymes and an ECL-generating ruthenium metallopolymer (Ru(II)PVP) are fabricated in these microwells. The system runs metabolic enzyme reactions, and subsequently detects DNA damage caused by reactive metabolites. The performance of the chip was tested by measuring DNA damage caused by metabolites of the well-known procarcinogen benzo[a]pyrene (B[a]P). Liver microsomes and cytochrome P450 (cyt P450) enzymes were used with and without epoxide hydrolase (EH), a conjugative enzyme required for multi-enzyme bioactivation of B[a]P. DNA adduct formation was confirmed by determining specific DNA-metabolite adducts using similar films of DNA/enzyme on magnetic bead biocolloid reactors, hydrolyzing the DNA, and analyzing by capillary liquid chromatography-mass spectrometry (CapLC-MS/MS). The fluidic chip was also used to measure IC50-values of inhibitors of cyt P450s. All results show good correlation with reported enzyme activity and inhibition assays.

SUBMITTER: Wasalathanthri DP

PROVIDER: S-EPMC3901045 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

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High-throughput metabolic genotoxicity screening with a fluidic microwell chip and electrochemiluminescence.

Wasalathanthri Dhanuka P DP Malla Spundana S Bist Itti I Tang Chi K CK Faria Ronaldo C RC Rusling James F JF

Lab on a chip 20131201 23

A high throughput electrochemiluminescent (ECL) chip was fabricated and integrated into a fluidic system for screening toxicity-related chemistry of drug and pollutant metabolites. The chip base is conductive pyrolytic graphite onto which are printed 64 microwells capable of holding one-μL droplets. Films combining DNA, metabolic enzymes and an ECL-generating ruthenium metallopolymer (Ru(II)PVP) are fabricated in these microwells. The system runs metabolic enzyme reactions, and subsequently dete ...[more]

PMID: 24113555

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Project description:Genotoxicity is a critical component of a comprehensive toxicological profile. The Tox21 Program used five quantitative high-throughput screening (qHTS) assays measuring some aspect of DNA damage/repair to provide information on the genotoxic potential of over 10?000 compounds. Included were assays detecting activation of p53, increases in the DNA repair protein ATAD5, phosphorylation of H2AX, and enhanced cytotoxicity in DT40 cells deficient in DNA-repair proteins REV3 or KU70/RAD54. Each assay measures a distinct component of the DNA damage response signaling network; >70% of active compounds were detected in only one of the five assays. When qHTS results were compared with results from three standard genotoxicity assays (bacterial mutation, in vitro chromosomal aberration, and in vivo micronucleus), a maximum of 40% of known, direct-acting genotoxicants were active in one or more of the qHTS genotoxicity assays, indicating low sensitivity. This suggests that these qHTS assays cannot in their current form be used to replace traditional genotoxicity assays. However, despite the low sensitivity, ranking chemicals by potency of response in the qHTS assays revealed an enrichment for genotoxicants up to 12-fold compared with random selection, when allowing a 1% false positive rate. This finding indicates these qHTS assays can be used to prioritize chemicals for further investigation, allowing resources to focus on compounds most likely to induce genotoxic effects. To refine this prioritization process, models for predicting the genotoxicity potential of chemicals that were active in Tox21 genotoxicity assays were constructed using all Tox21 assay data, yielding a prediction accuracy up to 0.83. Data from qHTS assays related to stress-response pathway signaling (including genotoxicity) were the most informative for model construction. By using the results from qHTS genotoxicity assays, predictions from models based on qHTS data, and predictions from commercial bacterial mutagenicity QSAR models, we prioritized Tox21 chemicals for genotoxicity characterization.

Dataset Information

High-throughput metabolic genotoxicity screening with a fluidic microwell chip and electrochemiluminescence.

Publications

High-throughput metabolic genotoxicity screening with a fluidic microwell chip and electrochemiluminescence.

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