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).
Dataset for ORD-033344: A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-Term Assays
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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
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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).
Liver steatosis study PFAA treated mouse gene array data
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This file contains a link for Gene Expression Omnibus and the GSE designations for the publicly available gene expression data used in the study and reflected in Figures 6 and 7 for the Das et al., 2016 paper. This dataset is associated with the following publication: Das, K., C. Wood, M. Lin, A.A. Starkov, C. Lau, K.B. Wallace, C. Corton, and B. Abbott. Perfluoroalky acids-induced liver steatosis: Effects on genes controlling lipid homeostasis. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 378: 32-52, (2017).
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).
A Biologically Based Model to Quantitatively Assess the Role of the Nuclear Receptors liver X (LXR), and pregnane X (PXR) on Chemically Induced Hepatic Steatosis
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The data used in this manuscript came from published literature. This dataset is associated with the following publication: Bay, C., and H. El-Masri. A biologically based model to quantitatively assess the role of the nuclear receptors liver X (LXR), and pregnane X (PXR) on chemically induced hepatic steatosis. TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 359(15): 46-54, (2022).
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 Extracellular Vesicles altered by Per- and Polyfluoroalkyl Substance Mixtures: In Vitro Dose-Dependent Release, Chemical Content, and MicroRNA Signatures involved in Liver Health.
공공데이터포털
These data represent underlying data generated for the study titled 'Extracellular Vesicles altered by Per- and Polyfluoroalkyl Substance Mixtures: In Vitro Dose-Dependent Release, Chemical Content, and MicroRNA Signatures involved in Liver Health'. Data include extracellular vesicle particle count and size distribution from nanoparticle tracking analysis; microRNA expression data from mRNA sequencing in extracellular vesicles; PFAS signature data from mass spectrometry analysis of isolated HepG2 cell lysates and their secreted extracellular vesicles; in vitro cell viability data. This dataset is associated with the following publication: Carberry, C., J. Bangma, L. Koval, D. Keshava, h. Hartwell, M. Sokolsky, R. Fry, and J. Rager. Extracellular vesicles altered by a per- and polyfluoroalkyl substance mixture: in vitro dose-dependent release, chemical content, and microRNA signatures involved in liver health. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 197(2): 155-169, (2024).