Data submission for A-gf27
공공데이터포털
Biomarker genes used to predict AhR activity; accession numbers of microarray datasets used in the study. This dataset is associated with the following publication: Oshida, K., N. Vasani, W. Ward , R. Thomas , D. Applegate, F. Gonzalez, L. Aleksunes, C. Klaassen, and C. Corton. Screening a mouse liver gene expression Compendium Identifies Effectors of the Aryl Hydrocarbon reeptors (AhR). TOXICOLOGICAL SCIENCES. Society of Toxicology, 336: 99-112, (2015).
Dataset for ORD-033344: A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-Term Assays
공공데이터포털
Microarray experiments used in the study. This dataset is associated with the following publication: Corton, J., T. Hill, J. Sutherland, J. Stevens, and J. Rooney. A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-Term Assays. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 177(1): 11-26, (2020).
Dataset for ORD-033344: A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-Term Assays
공공데이터포털
Microarray experiments used in the study. This dataset is associated with the following publication: Corton, J., T. Hill, J. Sutherland, J. Stevens, and J. Rooney. A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-Term Assays. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 177(1): 11-26, (2020).
Dataset for ORD-033373: Gene Expression Thresholds Are Predictive of Rat Liver Tumorigens in Short-Term Assays
공공데이터포털
The microarray experiments used in the study. This dataset is associated with the following publication: Hill, T., J. Rooney, J. Abedini, H. El-Masri, C. Wood, and J. Corton. Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 177(1): 41-59, (2020).
Dataset for ORD-033373: Gene Expression Thresholds Are Predictive of Rat Liver Tumorigens in Short-Term Assays
공공데이터포털
The microarray experiments used in the study. This dataset is associated with the following publication: Hill, T., J. Rooney, J. Abedini, H. El-Masri, C. Wood, and J. Corton. Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 177(1): 41-59, (2020).
Summary dataset for biomarkers, PCB congeners, and microRNAs measured in serum and associations of these data for the Anniston Community Health Survey I (ACHS-I).
공공데이터포털
These data are summaries of pro-inflammatory cytokine and insulin resistance serum biomarkers; necrotic liver disease defined by serum keratin 18 (K18) biomarkers. Associations were determined between exposure biomarkers (thirty-five ortho-substituted PCB congeners) and disease biomarkers (miRs); and Ingenuity Pathway Analysis was performed. Note to protect individual molecular information, only summaries of the data are presented. This dataset is associated with the following publication: Cave, M., C. Pinkston, S. Rai, B. Wahlang, M. Pavuk, K. Head, G. Carswell, G. Nelson, C. Klinge, D. Bell, L. Birnbaum, and B. Chorley. Circulating MicroRNAs, Polychlorinated Biphenyls, and Environmental Liver Disease in the Anniston Community Health Survey. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 130(1): 017003, (2022).
PPARα-independent transcriptional targets of perfluoroalkyl acids revealed by transcript profiling
공공데이터포털
Microarray datasets used in the analysis. This dataset is associated with the following publication: Rosen, M., K. Das, J. Rooney, B. Abbott, C. Lau, and C. Corton. PPARα-independent transcriptional targets of perfluoroalkyl acids revealed by transcript profiling. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 387: 95-107, (2017).
PPARα-independent transcriptional targets of perfluoroalkyl acids revealed by transcript profiling
공공데이터포털
Microarray datasets used in the analysis. This dataset is associated with the following publication: Rosen, M., K. Das, J. Rooney, B. Abbott, C. Lau, and C. Corton. PPARα-independent transcriptional targets of perfluoroalkyl acids revealed by transcript profiling. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 387: 95-107, (2017).