데이터셋 상세
미국
Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network
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).
데이터 정보
연관 데이터
Integrating Data From In Vitro New Approach Methodologies for Developmental Neurotoxicity
공공데이터포털
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).
Data for Harrill et al, Testing for developmental neurotoxicity using a suite of assays for key cellular events in neurodevelopment
공공데이터포털
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).
Data for Harrill et al, Testing for developmental neurotoxicity using a suite of assays for key cellular events in neurodevelopment
공공데이터포털
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).
Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening
공공데이터포털
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).
PBPK modeloutputs readme
공공데이터포털
Contains values from pbpk models for each study on n-butanol effects. This dataset is associated with the following publication: Segal, D., A. Bale, L. Phillips, A. Sasso, P. Schlosser, C. Starkey, and S. Makris. Issues in Assessing the Health Risks of n-Butanol. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 40(1): 72-86, (2020).
PBPK modeloutputs readme
공공데이터포털
Contains values from pbpk models for each study on n-butanol effects. This dataset is associated with the following publication: Segal, D., A. Bale, L. Phillips, A. Sasso, P. Schlosser, C. Starkey, and S. Makris. Issues in Assessing the Health Risks of n-Butanol. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 40(1): 72-86, (2020).
An ontology for developmental processes and toxicities of neural tube closure
공공데이터포털
The systems map described in this manuscript for neurulation will set the stage for constructing mathematical models and computer simulation of neural tube closure for human-relevant AOPs and predictive toxicology of neural tube defects such as spina bifida. This dataset is not publicly accessible because: The data for the systems map has been obtained from comprehensive literature review. It can be accessed through the following means: Contact the corresponding author Harm J. Heusinkveld, Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), P.O.Box 1, 3720BA, Bilthoven, The Netherlands. Email: harm.heusinkveld@rivm.nl. Format: Not availabie. This dataset is associated with the following publication: Heusinkveld, H., Y. Staal, N. Baker, G. Daston, T. Knudsen, and A. Piersma. An ontology for developmental processes and toxicities of neural tube closure. REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 99: 160-167, (2021).
An ontology for developmental processes and toxicities of neural tube closure
공공데이터포털
The systems map described in this manuscript for neurulation will set the stage for constructing mathematical models and computer simulation of neural tube closure for human-relevant AOPs and predictive toxicology of neural tube defects such as spina bifida. This dataset is not publicly accessible because: The data for the systems map has been obtained from comprehensive literature review. It can be accessed through the following means: Contact the corresponding author Harm J. Heusinkveld, Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), P.O.Box 1, 3720BA, Bilthoven, The Netherlands. Email: harm.heusinkveld@rivm.nl. Format: Not availabie. This dataset is associated with the following publication: Heusinkveld, H., Y. Staal, N. Baker, G. Daston, T. Knudsen, and A. Piersma. An ontology for developmental processes and toxicities of neural tube closure. REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 99: 160-167, (2021).
Chemical agnostic hazard prediction: Statistical inference of toxicity pathways - data for Figure 2
공공데이터포털
This dataset comprises one SigmaPlot 13 file containing measured survival data and survival data predicted from the model coefficients selected by the LASSO procedure. This dataset is associated with the following publication: Ross, J., B. George, M. Bruno, and Y. Ge. Chemical-agnostic hazard prediction: statistical inference of in vitro toxicity pathways from proteomics responses to chemical mixtures. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 39-44, (2017).
Moser NTT 52:2015
공공데이터포털
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).
목록