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Dataset for ORD-033373: Gene Expression Thresholds Are Predictive of Rat Liver Tumorigens in Short-Term Assays
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).
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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 used in ORD-035008 - A Set of Six Gene Expression Biomarkers and Their Thresholds Identify Rat Liver Tumorigens in Short-Term Assays
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The links provided include the DrugMatrix-Affymetrix study, the TG-GATES study, and the TempO-Seq S1500+ study. This dataset is associated with the following publication: Lewis, R., T. Hill III, and C. Corton. A set of six Gene expression biomarkers and their thresholds identify rat liver tumorigens in short-term assays. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 443: 152547, (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-033294: Mining a human transcriptome database for chemical modulators of NRF2
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Gene Expression Omnibus and ArrayExpress archived study numbers of microarray data used in the study. This dataset is associated with the following publication: Rooney, J., B. Chorley, S. Hiemstra, S. Wink, X. Wang, D. Bell, B. van de Water, and J. Corton. Mining a human transcriptome database for chemical modulators of Nrf2 (PLOS ONE). PLoS ONE. Public Library of Science, San Francisco, CA, USA, 15(9): e0239367, (2020).
Datasets for "Early microRNA responses in rodent liver mediated by furan exposure establish dose thresholds for later adverse outcomes" manuscript
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These data are associated with the figures and tables presented in the manuscript "Early microRNA responses in rodent liver mediated by furan exposure establish dose thresholds for later adverse outcomes". Each spreadsheet contains the data for each Figure and metadata describes each column and/or row of data. For access to the smallRNA-seq files, please follow link provided and supply the reviewer key code "mjsnewymzlollmz".
ORD-037657: Sex-, age-, race-, and disease-dependent variations in NRF2-regulated genes in human livers
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Data was generated at KUMC, not EPA. There is no EPA data that is part of this submission. This dataset is associated with the following publication: Liu, J., J.Y. Cui, Y. Lu, C. Corton, and C. Klaassen. Sex-, Age-, and Race/Ethnicity-Dependent Variations in Drug-Processing and NRF2-Regulated Genes in Human Livers. DRUG METABOLISM AND DISPOSITION. American Society for Pharmacology and Experimental Therapeutics, Bethesda, MD, USA, 49(1): 111-119, (2021).
Datasets used in ORD-023413: Frequent Modulation of the Sterol Regulatory Element Binding Protein (SREBP) by Chemical Exposure in the Livers of Rats
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Datasets used in ORD-023413: Frequent Modulation of the Sterol Regulatory Element Binding Protein (SREBP) by Chemical Exposure in the Livers of Rats. This dataset is associated with the following publication: Corton, C. Frequent modulation of the sterol regulatory element binding protein (SREBP) by chemical exposure in the livers of rats. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 10: 113-129, (2019).
Dataset for ORD-029419: Identification of p53 Activators in a Human Microarray Compendium
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The dataset contains chemicals that were predicted to activate p53 using the biomarker or using a high throughput assay for p53. This dataset is associated with the following publication: Corton, J., K. Witt, and C. Yauk. Identification of p53 Activators in a Human Microarray Compendium. CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 32(9): 1748-1759, (2019).
Supporting data for Hill et al (doi:10.1093/toxsci/kfw195)
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Tables, Figures, and Supplemental Materials. This dataset is associated with the following publication: Hill III, T., M. Nelms, S. Edwards, M. Martin, R. Judson, C. Corton, and C. Wood. Negative Predictors of Carcinogenicity for Environmental Chemicals. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 155(1): 157-169, (2017).
한림대학교산학협력단 - 경도인지장애코호트 유전체검사데이터(2022년)
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경도인지장애 환자들의 혈액 샘플을 이용해 Whole Genome Sequencing, 특정 질병발생과 관련하여 유전적 질병의 위험도를 분석한 데이터(ex: 특정 암에 걸릴 확률)