Data pertaining to a NIS-expressing cell line, hNIS-HEK293T-EPA, and its screening capabilities for determining inhibitors of NIS-mediated iodide uptake. This dataset is associated with the following publication: Hallinger, D., A. Murr, A. Buckalew, S. Simmons, T. Stoker, and S. Laws. Development of a Screening Approach to Detect Thyroid Disrupting Chemicals that Inhibit the Human Sodium/Iodide Symporter (NIS). TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 66-78, (2017).

Data pertaining to a NIS-expressing cell line, FRTL-5 and it's screening capabilities for confirming inhibitors of NIS-mediated iodide uptake. This dataset is associated with the following publication: Buckalew, A., J. Wang, A. Murr, C. Deisenroth, W. Stewart, T. Stoker, and S. Laws. Evaluation of potential sodium-iodide symporter (NIS) inhibitors using a secondary Fischer rat thyroid follicular cell (FRTL-5) radioactive iodide uptake (RAIU) assay. Archives of Toxicology. Springer, New York, NY, USA, 94(3): 873-885, (2020).

This excel file contains 7 tabs, each tabs contains the data for one specific figure in the paper. Description of the data and column names is also provided in each tab. This dataset is associated with the following publication: Wang, J., D. Hallinger, A. Murr, A. Buckalew, S. Simmons, S. Laws, and T. Stoker. High-Throughput Screening and Quantitative Chemical Ranking for Sodium Iodide Symporter Inhibitors in ToxCast Phase 1 Chemical Library. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(9): 5417-5426, (2018).

No novel data were reported in association with this product. This dataset is not publicly accessible because: The associated publication is a review/forum-type article. No novel scientific data are reported. All data cited have been previously published elsewhere. It can be accessed through the following means: Not applicable. Format: This article is a review/forum-type article. No novel scientific data are included. This dataset is associated with the following publication: Knapen, D., E. Stinckens, J. Cavallin, G. Ankley, H. Holbech, D. Villeneuve, and L. Vergauwen. Toward an AOP network-based tiered testing strategy for the assessment of thyroid hormone disruption. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(16): 8491-8499, (2020).

This excel file contains the resultant data from a study on iodotyrosine deiodinase in the model amphibian species, Xenopus laevis. These data include: tadpole growth and development, thyroid hormones in plasma and glands, and expression of thyroid-relevant genes. The initial worksheet tab that provides metadata for each dataset included in the other worksheets that make up the file. This dataset is associated with the following publication: Olker, J., J. Haselman, P. Kosian, K. Donnay, J. Korte, C. Blanksma, M. Hornung, and S. Degitz. Evaluating iodide recycling inhibition as a novel molecular initiating event for thyroid axis disruption in amphibians. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 166(2): 318-331, (2018).

180626 Thyroid Hormone PFOA PFOS Manuscript Data. This dataset is associated with the following publication: Selano, J., V. Richardson, J. Washington, and C. Mazur. Characterization of non-radiolabeled Thyroxine (T4) uptake in cryopreserved rat hepatocyte suspensions: Pharmacokinetic implications for PFOA and PFOS chemical exposure. TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 58: 230-238, (2019).

Data set includes optimized assay parameters and kinetic characterization for xenopus laevis deiodinase type 3 enzyme, and inhibition activity of 352 ToxCast chemicals against this enzyme. This dataset is associated with the following publication: Mayasich, S., J. Korte, J. Denny, P. Hartig, J. Olker, P. Degoey, J. O'Flanagan, S. Degitz, and M. Hornung. Xenopus laevis and human type 3 iodothyronine deiodinase enzyme cross-species sensitivity to inhibition by ToxCast chemicals. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 73: 105141, (2021).

Biomarker Image Cytometry. The cell-level frequency of NK2 Homeobox 1 (NKX2-1), Keratin 7 (KRT7), and Thyroglobulin (TG) protein staining were quantitatively evaluated by high-content imaging across huThyrEC cell line variants (1-4) in two medium formulations (huThyrEC and h7H) for verification of thyroid follicular epithelial cell enrichment. Data are the % positive expression frequency (mean ± SD) of two replicates. This dataset is associated with the following publication: Hopperstad, K., T. Truschel, T. Wahlicht, W. Stewart, A. Eicher, T. May, and C. Deisenroth. Characterization of Novel Human Immortalized Thyroid Follicular Epithelial Cell Lines. Applied In Vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 7(2): 39-49, (2021).

Final Data SeqAPASS v3.0.zip contains datasets from Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool versions 3.0 for all 497 proteins evaluated using Level 1 (primary amino acid sequence comparisons) and Level 2 (functional domain(s) sequence comparisons) to understand conservation of HTS targets across species. Each folder is labeled by the protein accession (identification number and SeqAPASS version), with subfolders containing Level 1 and Level 2 output from the SeqAPASS tool. SeqAPASS v3.0 Data in Assay Groups.zip Contains all SeqAPASS data sorted by ToxCast Assay Group (as described in manuscript materials and methods). The original SeqAPASS data for each assay group are found in the folders titled Cell Adhesion, Cytochrome P450, Cytokine, DNA Binding, Esterase, G protein-coupled receptor, Growth Factor, Hydrolase, Ion Channel, Kinase, Lyase, Methyltransferase, Nuclear Receptor, Oxidoreductase, Phophatase, Protease, Protease Inhibitor, and Transporter. The Data_L1_Output folders and Data_L2_Output folders provide summaries of the Level 1 and Level 2 data comparing across datasets (See manuscript Supplemental Data, Legend for further details). This dataset is associated with the following publication: LaLone, C., D. Villeneuve, J. Doering, B. Blackwell, T. Transue, C. Simmons, J. Swintek, S. Degitz, A. Williams, and G. Ankley. Defining the taxonomic domain of applicability for mammalian-based high-throughput screening assays.. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(23): 13960-13971, (2018).

A diverse data set of 1667 chemicals with AR experimental activity were provided by the U.S. EPA from the oxicity Forecaster (ToxCast) program which generates data using in vitro high-throughput screening (HTS) assays measuring activity of chemicals at multiple points along the androgen receptor (AR) activity pathway. The Endocrine Disruptor Knowledgebase (EDKB) androgen receptor (AR) binding data set (Fang et al., 2003) was downloaded from the FDA website and was produced expressly as a training set designed for developing predictive models. The data is based on a validated assay using recombinant AR. The dataset contains 146 AR binders and 56 non-AR binders. These training set chemicals were selected for both chemical structure diversity and range of activity, both of which are essential to develop robust QSAR and other models (Perkins, 2003). This dataset is associated with the following publication: Manganelli, S., A. Roncaglioni, K. Mansouri, R. Judson, E. Benfenati, A. Manganaro, and P. Ruiz. Development, validation and integration of in silico models to identify androgen active chemicals. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 220: 204-215, (2019).