Gene array data files compared gene expression profiles in liver samples from young (21-45 years) and old (69+ years) men and women to determine changes in the expression of xenobiotic metabolism enzymes and transporters. We identified genes that were differentially expressed in males only, females only, or in all individuals between the young and old using microarray. This dataset is associated with the following publication: Corton, J., J. Lee, J. Liu, H. Ren, B. Vallanat, and M. Devito. Determinants of Gene Expression in the Human Liver: Impact of Aging and Sex on Xenobiotic Metabolism. Experimental Gerontology. Elsevier Science Ltd, New York, NY, USA, 169: 111976, (2022).

This is the data presented in https://pubs.acs.org/doi/10.1021/acs.chemrestox.5c00236, Identification of Anatoxin-a and Related Metabolites in Exposed Mice Samples with a High-Resolution Mass Spectrometry Discovery Workflow

Datasets used in ORD-023408: A Gene Expression Biomarker Identifies Chemicals and Other Factors That Modulate Sterol Regulatory Element Binding Protein (SREBP) Highlighting Differences in Targeted Regulation of Cholesterogenic and Lipogenic Genes. This dataset is associated with the following publication: Rooney, J., B. Chorley, and C. Corton. A gene expression biomarker identifies factors that modulate sterol regulatory element binding protein. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 10: 63-77, (2019).

Dataset for S. Sakamuru, et al., 'Profiling the Tox21 Compound Library for Their Inhibitory Effects on Cytochrome P450 Enzymes' published in Int'l Journal of Molecular Sciences, DOI https://doi.org/10.3390/ijms26114976 The screening data are available at https://tripod.nih.gov/pubdata/ and in PubChem at https://pubchem.ncbi.nlm.nih.gov/ (PubChem Assay IDs for CYP assays are 1671199, 1671198, 1671197, 1671196, and 1671201 and for Luciferase assay is 1224835).

These spreadsheets contain the underlying data, calculations, and R code for the figures of the manuscript "Persistent gene expression and DNA methylation alterations linked to carcinogenic effects of dichloroacetic acid". The first tab of every spreadsheet contains descriptions of the data (metadata). For clarifying questions regarding the data, please contact Dr. Brian Chorley (EPA-ORD) at chorley.brian@epa.gov. If you require a review token for the sequencing datasets located in the GEO links (RNAseq and RRBS), please contact Dr. Chorley. This dataset is associated with the following publication: Carswell, G., J. Chamberlin, B. Bennett, P. Bushel, and B. Chorley. Persistent gene expression and DNA methylation alterations linked to carcinogenic effects of dichloroacetic acid. Frontiers in Oncology. Frontiers, Lausanne, SWITZERLAND, 14: 1389634, (2024).

The data include sequences, qPCR, RT-qPCR, water nutrients and cyanotoxins.

Dataset used in ORD-040059: Identification of Chemical Modulators of NF-κB Using a Gene Expression Biomarker Approach that includes publicaly available microarray datasets. This dataset is associated with the following publication: Korunes, K., J. Liu, R. Huang, M. Xia, K. Houck, and C. Corton. A gene expression biomarker for predictive toxicology to identify chemical modulators of NF-κB. PLOS ONE. Public Library of Science, San Francisco, CA, USA, 17(2): e0261854, (2022).

Dataset for Sakamuru, S., Ma, D., Pierro, J. D., Baker, N. C., Kleinstreuer, N., Cali, J. J., Knudsen, T. B., & Xia, M. (2024). Development and validation of CYP26A1 inhibition assay for high-throughput screening. Biotechnology Journal, 19, e2300659. https://doi.org/10.1002/biot.202300659. This dataset is not publicly accessible because: Non-EPA generated data, cross partner project with the National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD (NCATS) and National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods, National Institute of Environmental Health Sciences, National Institutes of Health, RTP NC. The data were generated by NCATS. It can be accessed through the following means: Data will be made available upon request from Menghang Xia (NCATS, National Institutes of Health) email mxia@mail.nih.gov. Format: Not available. This dataset is associated with the following publication: Sakamuru, S., D. Ma, J. Pierro, N. Baker, N. Kleinstreuer, J. Cali, T. Knudsen, and M. Xia. Development and Validation of CYP26A1 Inhibition Assay for High-Throughput Screening. Biotechnology Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 19(6): 2300659, (2024).

Dataset includes summary statistics (mean, standard error, sample size) for all endpoints measured and reported in the experiments described in the published manuscript. This dataset is associated with the following publication: Conley, J., C. Lambright, N. Evans, A. Farraj, J. Smoot, R. Grindstaff, D. Jenkins-Hill, J. McCord, E. Medlock Kakaley, A. Dixon, E. Hines, and L. Gray. Dose additive maternal and offspring effects of oral maternal exposure to a mixture of three PFAS (HFPO-DA, NBP2, PFOS) during pregnancy in the Sprague-Dawley rat. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 892: 164609, (2023).