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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Reference Type | Reference Title | Journal | Author | Citation | Progress Report Year | Document Sources |
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Journal Article | A quantitative toxicogenomics assay for high-throughput and mechanistic genotoxicity assessment and screening of environmental pollutants. | None | Lan J, Gou N, Rahman SM, Gao C, He M, Gu AZ | 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 | Link quantitative toxicogenomics endpoints to conventional toxicity endpoints - phenotypic anchoring and cross species extrapolation. | None | Gou N, Gu AZ | 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 | Quantitative toxicogenomics assay revealed the impact of disinfection technologies on effluent toxicity. | None | Gou N, Hu M, Jia A, Lan J, Snyder SA, Gu AZ | 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 | Development of a novel, feasible, and cost-effective quantitative toxicogenomics assay for high-throughput and effective chemical hazardous identification and environmental toxicity monitoring. | None | Gu AZ | 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 | Assessment of potential ecological and health impact of coal ash spill in Dan River, North Carolina. | None | Hu M, Wen X, Larese-Casanova P, Schreiber ME, Williams B, Gu AZ | 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 | Assessment of potential ecological and health impact of coal ash spill in Dan River, North Carolina. | None | Hu M, Wen X, Larese-Casanova P, Schreiber ME, Williams B, Gu AZ | 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 | Enhanced and differential genotoxicity of titanium dioxide nanoparticles by expression of human CYP genes in yeast cells. | None | Jiang T, Gou N, Wen X, Vulpe C, Fasullo M, Gu AZ | 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 | Toxicity assessment of 4-Methyl-1-cyclohexanemethanol and its metabolites in response to a recent chemical spill in West Virginia, USA. | None | Lan J, Hu M, Gao C, Alshawabkeh A, Gu AZ | 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 | Application of toxicogenomics assay for assessment of potential environmental and health impact of coal ash spill in Dan River, North Carolina. | None | Lan J, Wen X, Hu M, Rahman SM, Kakarla S, Gu AZ | 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 | Auto regressive moving average model represents temporal toxicogenomic data and improves clustering performance. | None | Rahman SM, Gou N, Chang Y, Dy JG, Gu AZ | 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 | Evaluation of chemical mixture toxicity predictability with high dimensional toxicogenomic data using parallel factor (PARAFAC) analysis. | None | Rahman SM, Gao C, Gou N, Gu AZ | 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 |
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.