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Grantee Research Project Results

Publications Details for Grant Number R836155C002

Toxicogenomics-based Mechanistic Multimedia Exposure Assessment and Child Development

RFA: Children's Environmental Health and Disease Prevention Research Centers (2014)

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Journal Article (1)
Presentation (10)
Reference Type Citation Progress Report Year Document Sources
Journal Article Lan J, Gou N, Rahman SM, Gao C, He M, Gu AZ. A quantitative toxicogenomics assay for high-throughput and mechanistic genotoxicity assessment and screening of environmental pollutants. Environmental Science & Technology 2016;50(6):3202-3214. R836155 (2020)
R836155C002 (2016)
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Presentation Gou N, Gu AZ. Link quantitative toxicogenomics endpoints to conventional toxicity endpoints-phenotypic anchoring and cross species extrapolation. Presented at the Society of Environmental Toxicology and Chemistry (SETAC) North America 36th Annual Meeting, Salt Lake City, UT, November 1-5, 2015. R836155 (2020)
R836155C002 (2016)
not available
Presentation Gou N, Hu M, Jia A, Lan J, Snyder SA, Gu AZ. Quantitative toxicogenomics assay revealed the impact of disinfection technologies on effluent toxicity. Presented at the Society of Environmental Toxicology and Chemistry (SETAC) North America 37th Annual Meeting, Orlando, FL, November 6-10, 2016. R836155 (2020)
R836155C002 (2017)
not available
Presentation Gu AZ. Development of a novel, feasible, and cost-effective quantitative toxicogenomics assay for high-throughput and effective chemical hazardous identification and environmental toxicity monitoring. Presented at the National Institute of Environmental Health Sciences (NIEHS) Superfund Research Program (SRP) Risk e-Learning webinar, Research Triangle Park, NC, April 17, 2017. R836155 (2020)
R836155C002 (2017)
not available
Presentation Hu M, Wen X, Larese-Casanova P, Schreiber ME, Williams B, Gu AZ. Assessment of potential ecological and health impact of coal ash spill in Dan River, North Carolina. Poster presented at the Society of Environmental Toxicology and Chemistry (SETAC) North America 36th Annual Meeting, Salt Lake City, UT, November 1-5, 2015. R836155 (2020)
R836155C002 (2016)
not available
Presentation Hu M, Wen X, Larese-Casanova P, Schreiber ME, Williams B, Gu AZ. Assessment of potential ecological and health impact of coal ash spill in Dan River, North Carolina. Poster presented at the NIEHS Superfund Research Program (SRP) Annual Meeting, San Juan, Puerto Rico, November 18-20, 2015. R836155 (2020)
R836155C002 (2016)
not available
Presentation Jiang T, Gou N, Wen X, Vulpe C, Fasullo M, Gu AZ. Enhanced and differential genotoxicity of titanium dioxide nanoparticles by expression of human CYP genes in yeast cells. Poster presented at the Society of Environmental Toxicology and Chemistry (SETAC) North America 37th Annual Meeting, Orlando, FL, November 6-10, 2016. R836155 (2020)
R836155C002 (2017)
not available
Presentation Lan J, Hu M, Gao C, Alshawabkeh A, Gu AZ. Toxicity assessment of 4-Methyl-1-cyclohexanemethanol and its metabolites in response to a recent chemical spill in West Virginia, USA. Poster presented at the NIEHS Superfund Research Program (SRP) Annual Meeting, San Juan, Puerto Rico, November 18-20, 2015. R836155 (2020)
R836155C002 (2016)
not available
Presentation Lan J, Wen X, Hu M, Rahman SM, Kakarla S, Gu AZ. Application of toxicogenomics assay for assessment of potential environmental and health impact of coal ash spill in Dan River, North Carolina. Presented at the Society of Environmental Toxicology and Chemistry (SETAC) North America 37th Annual Meeting, Orlando, FL, November 6-10, 2016. R836155 (2020)
R836155C002 (2017)
not available
Presentation Rahman SM, Gou N, Chang Y, Dy JG, Gu AZ. Auto regressive moving average model represents temporal toxicogenomic data and improves clustering performance. Poster presented at the Society of Environmental Toxicology and Chemistry (SETAC) North America 36th Annual Meeting, Salt Lake City, UT, November 1-5, 2015. R836155 (2020)
R836155C002 (2016)
not available
Presentation Rahman SM, Gao C, Gou N, Gu AZ. Evaluation of chemical mixture toxicity predictability with high dimensional toxicogenomic data using parallel factor (PARAFAC) analysis. Poster presented at the Society of Environmental Toxicology and Chemistry (SETAC) North America 37th Annual Meeting, Orlando, FL, November 6-10, 2016. R836155 (2020)
R836155C002 (2017)
not available

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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.

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