Literature DB >> 20952501

In vitro screening for population variability in chemical toxicity.

Shannon H O'Shea1, John Schwarz, Oksana Kosyk, Pamela K Ross, Min Jin Ha, Fred A Wright, Ivan Rusyn.   

Abstract

Immortalized human lymphoblastoid cell lines have been used to demonstrate that it is possible to use an in vitro model system to identify genetic factors that affect responses to xenobiotics. To extend the application of such studies to investigative toxicology by assessing interindividual and population-wide variability and heritability of chemical-induced toxicity phenotypes, we have used cell lines from the Centre d'Etude du Polymorphisme Humain (CEPH) trios assembled by the HapMap Consortium. Our goal is to aid in the development of predictive in vitro genetics-anchored models of chemical-induced toxicity. Cell lines from the CEPH trios were exposed to three concentrations of 14 environmental chemicals. We assessed ATP production and caspase-3/7 activity 24 h after treatment. Replicate analyses were used to evaluate experimental variability and classify responses. We show that variability of response across the cell lines exists for some, but not all, chemicals, with perfluorooctanoic acid (PFOA) and phenobarbital eliciting the greatest degree of interindividual variability. Although the data for the chemicals used here do not show evidence for broad-sense heritability of toxicity response phenotypes, substantial cell line variation was found, and candidate genetic factors contributing to the variability in response to PFOA were investigated using genome-wide association analysis. The approach of screening chemicals for toxicity in a genetically defined yet diverse in vitro human cell-based system is potentially useful for identification of chemicals that may pose a highest risk, the extent of within-species variability in the population, and genetic loci of interest that potentially contribute to chemical susceptibility.

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Year:  2010        PMID: 20952501      PMCID: PMC3023564          DOI: 10.1093/toxsci/kfq322

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  34 in total

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2.  Transcriptional response of lymphoblastoid cells to ionizing radiation.

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Review 8.  Systems biology and functional genomics approaches for the identification of cellular responses to drug toxicity.

Authors:  Alison Hege Harrill; Ivan Rusyn
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Authors:  Steven Gibb
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10.  A second generation human haplotype map of over 3.1 million SNPs.

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Journal:  Nature       Date:  2007-10-18       Impact factor: 49.962

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Review 4.  Incorporating population-level genetic variability within laboratory models in toxicology: From the individual to the population.

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