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Data for Harrill et al, Testing for developmental neurotoxicity using a suite of assays for key cellular events in neurodevelopment
This file contains the data on apoptosis, neurite outgrowth, synaptogenesis and proliferation. This dataset is associated with the following publication: Harrill, J., T. Freudenrich, K. Wallace, K. Ball, T. Shafer, and W. Mundy. Testing for developmental neurotoxicity using a battery of in vitro assays for key cellular events in neurodevelopment. TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 354(1): 24-39, (2018).
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Integrating Data From In Vitro New Approach Methodologies for Developmental Neurotoxicity
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This dataset consists of data from in vitro developmental neurotoxicity new approach methodologies (DNT-NAMs). Assays include evaluations of proliferation, apoptosis, viability, neurite outgrowth, synaptogenesis and network formation. A variety of cell models are utilized depending on the assay, and each assay may have multiple endpoints. Data have been collected and evaluated using the ToxCast PipeLine (tcpl). This dataset is associated with the following publication: Carstens, K., A. Carpenter, M. Martin, J. Harrill, T. Shafer, and K. Friedman. Integrating Data From In Vitro New Approach Methodologies for Developmental Neurotoxicity. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 187(1): 62-79, (2022).
Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network
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Table of contents Table S1 DNT inventory List of sources and associated data collected for the development of the Bayesian hierarchical model. Table S2 Data collection It contains the compiled raw data. Table S3 Final dataset It contains data after curation agreed to be included in the Bayesian hierarchical model. Table S4 List of encoders Machine readable format used to encode the data. Table S5 Machine readable The final dataset translated into a machine readable file using the encoders listed above. Table S6 Results for DNT Based on the cut-offs derived from the results themselves, three classes of DNT are proposed (low, medium and high predicted probability). Results are summarised accordingly. This dataset is associated with the following publication: Spinu, N., M. Cronin, J. Lao, A. Bal-Price, I. Campia, S. Enoch, J. Madden, L. Lagares, M. Novic, D. Pamies, S. Scholz, D. Villeneuve, and A. Worth. Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 21: 100206, (2022).
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 Brown et al MEA Developmental Neurotoxicity Screening Manuscript
공공데이터포털
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).
Provides an overview of the analysis and associated files, scripts and datasets
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This dataset contains the files, scripts and data that were used to run the simulations and data analyses for the manuscript. This dataset is associated with the following publication: Ball, K., C. Grant, W. Mundy, and T. Shafer. A multivariate extension of mutual information for growing neural networks.. Neural Networks. Elsevier B.V., Amsterdam, NETHERLANDS, 95: 29-43, (2017).
Provides an overview of the analysis and associated files, scripts and datasets
공공데이터포털
This dataset contains the files, scripts and data that were used to run the simulations and data analyses for the manuscript. This dataset is associated with the following publication: Ball, K., C. Grant, W. Mundy, and T. Shafer. A multivariate extension of mutual information for growing neural networks.. Neural Networks. Elsevier B.V., Amsterdam, NETHERLANDS, 95: 29-43, (2017).
Moser NTT 52:2015
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data supporting manuscript figures. This dataset is associated with the following publication: Moser , V.C., P. Phillips , J. Hedge , and K. Mcdaniel. Neurotoxicological and thyroid evaluations of rats developmentally exposed to tris(1,3-dichloro-2-propyl)phosphate (TDICPP) and tris(2-chloro-2-ethyl)phosphate(TCEP). NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 52: 236-247, (2015).
Moser NTT 52:2015
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data supporting manuscript figures. This dataset is associated with the following publication: Moser , V.C., P. Phillips , J. Hedge , and K. Mcdaniel. Neurotoxicological and thyroid evaluations of rats developmentally exposed to tris(1,3-dichloro-2-propyl)phosphate (TDICPP) and tris(2-chloro-2-ethyl)phosphate(TCEP). NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 52: 236-247, (2015).
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).
Neurite outgrowth in human iPSC-derived neurons
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Data on morphology of rat and human neurons in cell culture. This dataset is associated with the following publication: Druwe, I., T. Freudenrich , K. Wallace , T. Shafer , and W. Mundy. Comparison of Human Induced PluripotentStem Cell-Derived Neurons and Rat Primary CorticalNeurons as In Vitro Models of Neurite Outgrowth. Applied In vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 2(1): 26-36, (2016).