ArticleToxicological sciences : an official journal of the Society of Toxicology2012
Quantitative high-throughput screening for chemical toxicity in a population-based in vitro model.
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Quantitative estimates of inter-individual variability for new approach methodologies-based systemic safety toolbox using a population-based human in vitro model.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- The Coming of Age of AI/ML in Drug Discovery, Development, Clinical Testing, and Manufacturing: The FDA Perspectives.Drug design, development and therapy · 2023Article
- Article
- Model systems and organisms for addressing inter- and intra-species variability in risk assessment.Regulatory toxicology and pharmacology : RTP · 2022Review
- Methods for evaluating variability in human health dose-response characterization.Human and ecological risk assessment : HERA · 2019Article
- The Impact of Novel Assessment Methodologies in Toxicology on Green Chemistry and Chemical Alternatives.Toxicological sciences : an official journal of the Society of Toxicology · 2018Review
- Initial Assessment of Variability of Responses to Toxicants in Donor-Specific Endothelial Colony Forming Cells.Frontiers in public health · 2018Article
- Bridging the Data Gap FromFrontiers in public health · 2018Review
- A tiered, Bayesian approach to estimating of population variability for regulatory decision-making.ALTEX · 2017Article
- Systems pharmacology exploration of botanic drug pairs reveals the mechanism for treating different diseases.Scientific reports · 2016Article
- The Next Generation of Risk Assessment Multi-Year Study-Highlights of Findings, Applications to Risk Assessment, and Future Directions.Environmental health perspectives · 2016Review
- In vitro screening for population variability in toxicity of pesticide-containing mixtures.Environment international · 2015Article
- Profiles in cytotoxicity: a first step toward chemical-specific adjustment factors.Environmental health perspectives · 2015Article
- Population-based in vitro hazard and concentration-response assessment of chemicals: the 1000 genomes high-throughput screening study.Environmental health perspectives · 2015Article
- Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer.eLife · 2014Article
- Physiologically based pharmacokinetic (PBPK) modeling of interstrain variability in trichloroethylene metabolism in the mouse.Environmental health perspectives · 2014Article
- A genetic model of differential susceptibility to human respiratory syncytial virus (RSV) infection.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2014Article
- FutureTox: building the road for 21st century toxicology and risk assessment practices.Toxicological sciences : an official journal of the Society of Toxicology · 2014Article
- A cellular genetics approach identifies gene-drug interactions and pinpoints drug toxicity pathway nodes.Frontiers in genetics · 2014Article
- Integrative chemical-biological read-across approach for chemical hazard classification.Chemical research in toxicology · 2013Article
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13 authors.
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Abstract
A shift in toxicity testing from in vivo to in vitro may efficiently prioritize compounds, reveal new mechanisms, and enable predictive modeling. Quantitative high-throughput screening (qHTS) is a major source of data for computational toxicology, and our goal in this study was to aid in the development of predictive in vitro models of chemical-induced toxicity, anchored on interindividual genetic variability. Eighty-one human lymphoblast cell lines from 27 Centre d'Etude du Polymorphisme Humain trios were exposed to 240 chemical substances (12 concentrations, 0.26nM-46.0μM) and evaluated for cytotoxicity and apoptosis. qHTS screening in the genetically defined population produced robust and reproducible results, which allowed for cross-compound, cross-assay, and cross-individual comparisons. Some compounds were cytotoxic to all cell types at similar concentrations, whereas others exhibited interindividual differences in cytotoxicity. Specifically, the qHTS in a population-based human in vitro model system has several unique aspects that are of utility for toxicity testing, chemical prioritization, and high-throughput risk assessment. First, standardized and high-quality concentration-response profiling, with reproducibility confirmed by comparison with previous experiments, enables prioritization of chemicals for variability in interindividual range in cytotoxicity. Second, genome-wide association analysis of cytotoxicity phenotypes allows exploration of the potential genetic determinants of interindividual variability in toxicity. Furthermore, highly significant associations identified through the analysis of population-level correlations between basal gene expression variability and chemical-induced toxicity suggest plausible mode of action hypotheses for follow-up analyses. We conclude that as the improved resolution of genetic profiling can now be matched with high-quality in vitro screening data, the evaluation of the toxicity pathways and the effects of genetic diversity are now feasible through the use of human lymphoblast cell lines.
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