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A high throughput screening system for predicting chemically-induced reproductive organ deformities
Affiliation:1. Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA;2. ORAU, Contractor to U.S. Environmental Protection Agency through the National Student Services Contract, United States;3. National Research Council, 6201 Congdon Blvd., Duluth, MN 55804, USA;4. Office of Research and Development, Center for Computational Toxicology and Ecology, Great Lakes Toxicology and Ecology Division, Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency, Duluth, MN 55804, USA;5. Great Lakes Toxicology and Ecology Division, Office of Research and Development, U.S. Environmental Protection Agency, Duluth, MN, United States of America;6. Attagene, Inc., 7030 Kit Creek Rd, Morrisville, NC 27560, United States of America
Abstract:There is a great need for alternative testing methods for reproductive toxicants that are practical, fast, cost-effective and easy to interpret. Previously we followed a pragmatic approach using readily available tests, which was successful in predicting reproductive toxicity of chemicals [13]. This initial battery still contained apical tests and is fairly complex and low in its throughput. The current study aimed to simplify this screening battery using a mechanistic approach and a panel of high throughput CALUX reporter gene assays. A mechanistic approach was taken to validate this high throughput test battery. To this end it was challenged with two preselected sets of chemicals addressing two major apical effect classes relevant in reproductive toxicity. We found selectivity in this battery in that 82% of the compounds inducing reproductive organ deformities were predicted correctly, while for compounds inducing neural tube defects this was the case in 47% only. This is consistent with the mechanisms of toxicity covered in the battery. The most informative assays in the battery were ERalpha CALUX to measure estrogenicity and the AR-anti CALUX assay to measure androgen receptor antagonism.
Keywords:High throughput screening  Reproductive organ deformities  Estrogen–androgen reporter gene assay  Mechanistic validation
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