Dataset includes summary statistics (mean, standard error, sample size) for all endpoints measured and reported from the the experiments described in the published manuscript. This dataset is associated with the following publication: Conley, J., C. Lambright, N. Evans, J. Bangma, J. Ford, D. Jenkins-Hill, E. Medlock Kakaley, and L. Gray. Maternal and neonatal effects of maternal oral exposure to perfluoro-2-methoxyacetic acid (PFMOAA) during pregnancy and early lactation in the Sprague-Dawley rat. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(2): 1064-1075, (2024).

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).

Data for "Addicks GC, Rowan-Carroll A, Reardon A, Leingartner K, Williams A, Meier MJ, Moffat I, Carrier R, Lorusso L, Wetmore BA, Yauk C, Atlas E. Per- and Polyfluoroalkyl Substances (PFAS) in mixtures show additive effects on transcriptomic points of departure in human liver spheroids. Toxicol Sci. 2023 May 17:kfad044. doi: 10.1093/toxsci/kfad044. Epub ahead of print. PMID: 37195416.". This dataset is associated with the following publication: Addicks, G., A. Rowan-Carroll, A. Reardon, K. Leingartner, A. Williams, M. Meier, I. Moffat, R. Carrier, L. Lorusso, B. Wetmore, C. Yauk, and E. Atlas. Per- and polyfluoroalkyl substances (PFAS) in mixtures show additive effects on transcriptomic points of departure in human liver spheroids. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 194(1): 38-52, (2023).

Data for "Addicks GC, Rowan-Carroll A, Reardon A, Leingartner K, Williams A, Meier MJ, Moffat I, Carrier R, Lorusso L, Wetmore BA, Yauk C, Atlas E. Per- and Polyfluoroalkyl Substances (PFAS) in mixtures show additive effects on transcriptomic points of departure in human liver spheroids. Toxicol Sci. 2023 May 17:kfad044. doi: 10.1093/toxsci/kfad044. Epub ahead of print. PMID: 37195416.". This dataset is associated with the following publication: Addicks, G., A. Rowan-Carroll, A. Reardon, K. Leingartner, A. Williams, M. Meier, I. Moffat, R. Carrier, L. Lorusso, B. Wetmore, C. Yauk, and E. Atlas. Per- and polyfluoroalkyl substances (PFAS) in mixtures show additive effects on transcriptomic points of departure in human liver spheroids. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 194(1): 38-52, (2023).

Data set 1 consists of the experimental data for the Wild Type and PPAR KO animal study and includes data used to prepare Figures 1-4 and Table 1 of 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).

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).

Serum PFAS concentrations, pup weights, liver histopathology measurements, lipid panels, fasting insulin measurements. This dataset is not publicly accessible because: Data is the property of NIH. It can be accessed through the following means: Contact Suzanne Fenton for data (suzane.fenton@nih.gov). Format: Data stored in excel database format. This dataset is associated with the following publication: Cope, H.A., B.E. Blake, C. Love, J. McCord, S.A. Elmore, J.B. Harvey, V.A. Chappell, and S.E. Fenton. Latent, sex-specific metabolic health effects in CD-1 mouse offspring exposed to PFOA or HFPO-DA (GenX) during gestation. Emerging Contaminants. Elsevier B.V., Amsterdam, NETHERLANDS, 7: 219-235, (2021).

Current studies on nontarget analysis and toxicities of PFASs are disconnected, due to the challenges posed by the large numbers (>1,000) and diverse structures of PFASs. The SECC method provides a high-throughput experimental way to tackle the challenge of prioritizing PFASs according to key proteins, especially when their authentic standards are not available. While this study is focused on hL-FABP due to its critical role in regulating the toxicokinetics of PFASs, the protein-centric method could also be adapted to screen PFASs binding to other key proteins, such as PPARs. Computational toxicology is the predominant strategy for high-throughput predictions of toxicities of chemical contaminants. This dataset is not publicly accessible because: Data generated and owned by external academic lab with chemicals provided by the EPA under an MTA. EPA's contribution was assisting in manuscript writing. It can be accessed through the following means: Contact the Corresponding author: Hui Peng, e-mail: hui.peng@utoronto.ca, Department of Chemistry, University of Toronto, Toronto, Ontario, M5S3H6, Canada. Format: Not available. This dataset is associated with the following publication: Yang, D., J. Han, D. Ross Hall, J. Sun, J. Fu, S. Kutarna, K. Houck, C. LaLone, J. Doering, C. Ng, and H. Peng. Nontarget Screening of Per- and Polyfluoroalkyl Substances Binding to Human Liver Fatty Acid Binding Protein. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(9): 5676-5686, (2020).

Current studies on nontarget analysis and toxicities of PFASs are disconnected, due to the challenges posed by the large numbers (>1,000) and diverse structures of PFASs. The SECC method provides a high-throughput experimental way to tackle the challenge of prioritizing PFASs according to key proteins, especially when their authentic standards are not available. While this study is focused on hL-FABP due to its critical role in regulating the toxicokinetics of PFASs, the protein-centric method could also be adapted to screen PFASs binding to other key proteins, such as PPARs. Computational toxicology is the predominant strategy for high-throughput predictions of toxicities of chemical contaminants. This dataset is not publicly accessible because: Data generated and owned by external academic lab with chemicals provided by the EPA under an MTA. EPA's contribution was assisting in manuscript writing. It can be accessed through the following means: Contact the Corresponding author: Hui Peng, e-mail: hui.peng@utoronto.ca, Department of Chemistry, University of Toronto, Toronto, Ontario, M5S3H6, Canada. Format: Not available. This dataset is associated with the following publication: Yang, D., J. Han, D. Ross Hall, J. Sun, J. Fu, S. Kutarna, K. Houck, C. LaLone, J. Doering, C. Ng, and H. Peng. Nontarget Screening of Per- and Polyfluoroalkyl Substances Binding to Human Liver Fatty Acid Binding Protein. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(9): 5676-5686, (2020).

Gene expression data on >20 year-old, paired frozen and archival FFPE liver samples generated using targeted resequencing (TempO-Seq) and whole-genome RNA-sequencing methods. Samples were originally collected from male mice exposed to a reference chemical (dichloroacetic acid, DCA) at 0, 198, 313 and 427 mg/kg-day, (n=6/dose) by drinking water for 6 days. Portions of this dataset are inaccessible because: Including all of these files on ScienceHub would exceed the 1 Gb limit. They can be accessed through the following means: The data is stored on the L: Drive. Information on all of the files and file paths are indicated in the 20210923_Readme.xlsx file uploaded with the data. Format: Excel files, tab delimited files, csv files, and sequencing FASTQ files. This dataset is associated with the following publication: Cannizzo, M., C. Wood, S. Hester, and L. Wehmas. Case study: Targeted RNA-sequencing of aged formalin-fixed paraffin-embedded samples for understanding chemical mode of action. Toxicology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 9: 883-894, (2022).