Fox River kindling Bandara et al Summary Data
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This study looked at functional endpoints in adult offspring of rats exposed in utero and postnatally to an environmentally relevant mixture of PCBs, Fox River blend. A model of neural plasticity and epilepsy, electrical kindling, was examined. Animals exposed to PCBs had slower kindling rates suggesting impaired plasticity mechanisms, consistent with previous work with PCBs where deficits were seen in another plasticity model, long-term potentiation. This dataset is associated with the following publication: Bandara, S., R. Sadowski, S. Schantz, and M. Gilbert. Developmental Exposure to an Environmental PCB Mixture Delays the Propagation of Kindling in the Amygdala. NEUROTOXICOLOGY. Elsevier B.V., Amsterdam, NETHERLANDS, n/a, (2016).
Dataset for Chemical Signatures of neurodevelopmental disorders
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This dataset contains the data, code and associated files for the manuscript Authored by Marable et al. This dataset is associated with the following publication: Marable, C., C. Frank, R. Seim, S. Hester, M. Henderson, B. Chorley, and T. Shafer. Integrated Omic Analyses Identify Pathways and Transcriptomic Regulators Associated with Chemical Alterations of in vitro Neural Network Formation. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 186(1): 118-133, (2022).
Final Prenatal Dataset
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Full data tables presented in the Supplemental Information in Excel format. This dataset is associated with the following publication: Nilsen, F., J. Frank, and N. Tulve. A systematic review and meta-analysis investigating the relationship between exposures to chemical and non-chemical stressors during prenatal development and childhood externalizing behaviors. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 17(7): 2361, (2020).
O'Shaughnessy et al. 2023
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Data for O'Shaughnessy et al. 2023 - Bypassing the Brain Barriers: Upregulation of Serum miR-495 and miR-543-3p Reflects Thyroid-Mediated Developmental Neurotoxicity in the Rat. This dataset is associated with the following publication: O'Shaughnessy, K., A. Sasser, K. Bell, C. Riutta, J. Ford, R. Grindstaff, and M. Gilbert. Bypassing the Brain Barriers: Upregulation of Serum miR-495 and miR-543-3p Reflects Thyroid-Mediated Developmental Neurotoxicity in the Rat. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 198(1): 128-140, (2024).
Raw data presented in manuscript "The Pollutant Perfluorohexane Sulfonate (PFHxS) Reduces Serum Thyroxine but Does Not Alter Thyroid Hormone Action in the Postnatal Rat Brain" by O'Shaughnessy et al. 2024.
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Raw data to accompanying manuscript "The Pollutant Perfluorohexane Sulfonate (PFHxS) Reduces Serum Thyroxine but Does Not Alter Thyroid Hormone Action in the Postnatal Rat Brain". This dataset is associated with the following publication: O'Shaughnessy, K., K. Bell, A. Sasser, M. Gilbert, C. Riutta, J. Ford, J. McCord, and C. Wood. The Pollutant Perfluorohexane Sulfonate (PFHxS) Reduces Serum Thyroxine but Does Not Alter Thyroid Hormone Action in the Postnatal Rat Brain. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 190: 108838, (2024).
Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening
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Dataset for article ‘Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening’ published 02/16/2022 in Neurotoxicology, a section of the journal Frontiers in Toxicology, part of the Special Research Topic: Methods and Protocols in Neurotoxicology. The zip data file contains 10 files; a 'Data for hNP1 Methods Paper' Word document, 7 Figure files in Excel, and 2 Table files in Excel. This dataset is associated with the following publication: Culbreth, M., J. Nyffeler, C. Willis, and J. Harrill. Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening (Frontiers in Toxicology). Frontiers in Toxicology. Frontiers, Lausanne, SWITZERLAND, 3: 803987, (2021).
Data for Brown et al MEA Developmental Neurotoxicity Screening Manuscript
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These data are the individual parameter and well-level data that were support the conclusions in Brown et al. Note: the parameters CVtime and CVnetwork were not used. This dataset is associated with the following publication: Brown, J., D. Hall, C. Frank, K. Wallace, W. Mundy, and T. Shafer. Editor's highlight: Evaluation of a Microelectrode Array-based Assay for Neural Network Ontogeny using Training Set Chemicals. TOXICOLOGICAL SCIENCES. Society of Toxicology, 154(1): 126-139, (2016).
Data for Tipping Point determinations
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The attached zip file contains all of the source data, intermediate outputs and R-scripts used to calculate the tipping points reported in the Frank et al manuscript. This dataset is associated with the following publication: Christopher, F., J. Brown, K. Wallace, J. Wambaugh, I. Shah, and T. Shafer. Defining toxicological tipping points in neuronal network development. TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 354: 81-93, (2018).
Ramjoh PFHxS Data
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File contains data on body, liver, thyroid weights from dams and exposed offspring, serum thyroid hormones, gland and cortical gene expression, results of cognitive function tests. This dataset is associated with the following publication: Ramhoj, L., U. Haas, M. Gilbert, C. Wood, T. Svingen, D. Usai, A.M. Vinggaard, K. Mandrup, and M. Axelstad. Evaluating thyroid hormone disruption: Investigations of long-term neurodevelopmental effects in rats after perinatal exposure to perfluorohexane sulfonate (PFHxS). Scientific Reports. Nature Publishing Group, London, UK, 10(1): 2672, (2020).
Biomarkers.dataset
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The publicly available data from other published papers is in the published manuscript (DOI provided). This dataset is associated with the following publication: Kopylev, L., M. Dzierlenga, Y. Lin, B. Nachman, E. Radke-Farabaugh, H. Ru, and D. Segal. Which prenatal biomarker is most appropriate for methylmercury dose-response for neurodevelopmental effects?. RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA, 1-10, (2024).