The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization: The ToxCast Project
Open accessAbstract
BACKGROUND: Chemical toxicity testing is being transformed by advances in biology and computer modeling, concerns over animal use, and the thousands of environmental chemicals lacking toxicity data. The U.S. Environmental Protection Agency's ToxCast program aims to address these concerns by screening and prioritizing chemicals for potential human toxicity using in vitro assays and in silico approaches. OBJECTIVES: This project aims to evaluate the use of in vitro assays for understanding the types of molecular and pathway perturbations caused by environmental chemicals and to build initial prioritization models of in vivo toxicity. METHODS: We tested 309 mostly pesticide active chemicals in 467 assays across nine technologies, including high-throughput cell-free assays and cell-based assays, in multiple human primary cells and cell lines plus rat primary hepatocytes. Both individual and composite scores for effects on genes and pathways were analyzed. RESULTS: Chemicals displayed a broad spectrum of activity at the molecular and pathway levels. We saw many expected interactions, including endocrine and xenobiotic metabolism enzyme activity. Chemicals ranged in promiscuity across pathways, from no activity to affecting dozens of pathways. We found a statistically significant inverse association between the number of pathways perturbed by a chemical at low in vitro concentrations and the lowest in vivo dose at which a chemical causes toxicity. We also found associations between a small set of in vitro assays and rodent liver lesion formation. CONCLUSIONS: This approach promises to provide meaningful data on the thousands of untested environmental chemicals and to guide targeted testing of environmental contaminants.
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Cites
Cancer Incidence in Five Continents
(1970) · Springer eBooks · doi:10.1007/978-3-642-85851-2 · Cited by 8,501
Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A.-L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701361104 · Cited by 3,242
International programme on chemical safety
Haines, J. (1996) · The Lancet · doi:10.1016/s0140-6736(05)65029-5 · Cited by 1,869
Toxicity Testing in the 21st Century: A Vision and a Strategy
Krewski, D., Acosta, D., Andersen, M., Anderson, H., Bailar, J. C., Boekelheide, K., Brent, R., Charnley, G., Cheung, V. G., Green, S., et al. (2010) · Journal of Toxicology and Environmental Health, Part B · doi:10.1080/10937404.2010.483176 · Cited by 1,688
The KEGG databases at GenomeNet
Kanehisa, M. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.42 · Cited by 1,504
Toxicity testing in the 21st century: A vision and a strategy
Gibb, S. (2008) · Reproductive Toxicology · doi:10.1016/j.reprotox.2007.10.013 · Cited by 1,257
The ToxCast Program for Prioritizing Toxicity Testing of Environmental Chemicals
Dix, D. J., Houck, K. A., Martin, M. T., Richard, A. M., Setzer, R. W., & Kavlock, R. J. (2007) · Toxicological Sciences · doi:10.1093/toxsci/kfl103 · Cited by 1,012
Self-citationThe Developmental Toxicity of Perfluoroalkyl Acids and Their Derivatives
Lau, C., Butenhoff, J. L., & Rogers, J. M. (2004) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2003.11.031 · Cited by 867
Transforming Environmental Health Protection
Collins, F. S., Gray, G. M., & Bucher, J. R. (2008) · Science · doi:10.1126/science.1154619 · Cited by 630
PPARα Agonist-Induced Rodent Tumors: Modes of Action and Human Relevance
Klaunig, J. E., Babich, M. A., Baetcke, K. P., Cook, J. C., Corton, J. C., David, R. M., DeLuca, J. G., Lai, D. Y., McKee, R. H., Peters, J. M., et al. (2003) · Critical Reviews in Toxicology · doi:10.1080/713608372 · Cited by 611
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QSAR Modeling: Where have you been? Where are you going to?
Cherkasov, A., Muratov, E. N., Fourches, D., Varnek, A., Baskin, I. I., Cronin, M., Dearden, J., Gramatica, P., Martin, Y. C., Todeschini, R., et al. (2014) · Journal of Medicinal Chemistry · doi:10.1021/jm4004285 · Cited by 2,164
Self-citationKavlock, R., Chandler, K., Houck, K., Hunter, S., Judson, R., Kleinstreuer, N., Knudsen, T., Martin, M., Padilla, S., Reif, D., et al. (2012) · Chemical Research in Toxicology · doi:10.1021/tx3000939 · Cited by 494
Self-citationWetmore, B. A., Wambaugh, J. F., Ferguson, S. S., Sochaski, M. A., Rotroff, D. M., Freeman, K., Clewell, H. J., Dix, D. J., Andersen, M. E., Houck, K. A., et al. (2012) · Toxicological Sciences · doi:10.1093/toxsci/kfr254 · Cited by 415
Self-citationCERAPP: Collaborative Estrogen Receptor Activity Prediction Project
Mansouri, K., Abdelaziz, A., Rybacka, A., Roncaglioni, A., Tropsha, A., Varnek, A., Zakharov, A., Worth, A., Richard, A. M., Grulke, C. M., et al. (2016) · Environmental Health Perspectives · doi:10.1289/ehp.1510267 · Cited by 375
“The Toxicology Testing in the 21st Century (Tox21) collaboration and the U.S. EPA’s Toxicity ForeCaster (ToxCast™) projects are screening thousands of chemicals in HTS in vitro assays for a broad range of targets (Dix et al. 2007; Judson et al. 2010; Martin et al. 2010).”
InfluentialSelf-citationOrganotypic liver culture models: meeting current challenges in toxicity testing
LeCluyse, E. L., Witek, R. P., Andersen, M. E., & Powers, M. J. (2012) · Critical Reviews in Toxicology · doi:10.3109/10408444.2012.682115 · Cited by 363
Metadata
- Authors
- Judson, R. S., Houck, K. A., Kavlock, R. J., Knudsen, T. B., Martin, M. T., Mortensen, H. M., Reif, D. M., Rotroff, D. M., Shah, I., Richard, A. M., & Dix, D. J.
- Venue
- Environmental Health Perspectives
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-04
- Volume
- 118
- Issue
- 4
- Pages
- 485-492
- ISSN
- 0091-6765 (ISSN-L)
- 1552-9924
- OpenAlex
- W1970197319
- Cited by
- 608
- References
- 32
- FWCI
- 25.27
- Type
- journal article
- Language
- en
- Open access
- gold
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- Judson, R. S., Houck, K. A., Kavlock, R. J., Knudsen, T. B., Martin, M. T., Mortensen, H. M., Reif, D. M., Rotroff, D. M., Shah, I., Richard, A. M., & Dix, D. J. (2010). In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization: The ToxCast Project. Environmental Health Perspectives. https://doi.org/10.1289/ehp.0901392
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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