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Developmental NeuroToxicity Data Integration and Visualization Enabling Resource (DNT-DIVER)

National Toxicology Program. 2018. Data Release: Developmental NeuroToxicity Data Integration and Visualization Enabling Resource (DNT-DIVER). Last Updated: December 3, 2018.
DOI: https://doi.org/10.22427/NTP-DATA-002-00062-0001-0000-1

NOTE: Files in Data Release.zip were replaced on 26 Feb 2020 due to inconsistent data

Benchmark Dose data added on 10 March 2022

Publication

Introduction

NTP is investigating new and rapid screening approaches to identify environmental compounds that may be linked with neurodevelopmental disorders. Our ultimate goals are to protect public health by early identification of environmental chemicals with DNT potential, prioritize for further in vivo testing, and provide timely information to stakeholders for regulatory decision making. These efforts are built on proceedings from a collaborative workshop hosted by NTP in September 2017.

An Interactive Application

NTP developed a web-application tool known as Developmental NeuroToxicity Data Integration and Visualization Enablling Resource (DNT-DIVER) to compare data across divergent assays. Comparisons are organized on different tabs including experimental design summary, quality control, chemical-specific concentration response curves, ranking of chemical toxicity per lab/assay, and comparison of results across assays.

DNT-DIVER is publicly available at the following URL: https://www.niehs.nih.gov/research/atniehs/dtt/tools/dnt-diver

Data Release

All the participants of the workshop graciously consented to their data being made publicly available to foster scientific discussions and further the field. There is a data archive which includes data in Excel, and tab-separated value formats, along with a Readme to describe the data.

To cite these data, please use the following citation: National Toxicology Program. (2018). Data Release: Developmental NeuroToxicity Data Integration and Visualization Enablling Resource (DNT-DIVER). Last Updated: December 3, 2018. doi: https://doi.org/10.22427/NTP-DATA-002-00062-0001-0000-1

Several primary publications related to this work can be found under ToxSci Collection at: https://academic.oup.com/toxsci/pages/ntp_collection

Previous Data Release version located at: ftp://anonftp.niehs.nih.gov/ntp-cebs/datatype/DNT-DIVER/

Disclaimer: The results in the publications listed below may vary from the results on this website since different methods of analysis were used.

Related Publications

1) Ash PEA, Dhawan U, Boudeau S, Lei S, Carlomagno Y, Knobel M, Al Mohanna LFA, Boomhower SR, Newland MC, Sherr DH, Wolozin B. (2018). Heavy metal neurotoxicants induce ALS-linked TDP-43 pathology. Toxicol Sci. doi: https://doi.org/10.1093/toxsci/kfy267.

2) Behl M, Ryan K, Hsieh J-H, Parham F, Shapiro AJ, Collins BJ, Sipes NS, Birnbaum LS, Bucher JR, Foster PMD, Walker NJ, Paules RS, Tice RR. (2018) Screening for Developmental Neurotoxicity at the National Toxicology Program: The Future is Here. Toxicol Sci. doi: https://doi.org/10.1093/toxsci/kfy278

3) Dach K,Yaghoobi B, Schmuck MR, Carty DR, Morales KK, Harvey DJ, Lein PJ. (2018) Teratological and behavioral screening of the National Toxicology Program 91-compound library in zebrafish (Danio rerio). Tox. Sci. doi:https://doi.org/10.1093/toxsci/kfy266.

4) Hagstrom D, Truong L, Zhang S, Tanguay R, Collins EM. (2018). Comparative analysis of zebrafish and planarian model systems for developmental neurotoxicity screens using an 87-compound library doi: https://doi.org/10.1093/toxsci/kfy180

5) Hsieh J-H, Ryan K, Sedykh A, Lin J-A, Shapiro A.J., Parham F, Behl M (2018) Application of benchmark concentration (BMC) analysis on zebrafish data – a new perspective for quantifying toxicity in alternative animal models. Toxicol. Sci., doi: https://doi.org/10.1093/toxsci/kfy258

6) Quevedo C, Behl M, Ryan K, Alday A, Muriana M, Alzualde A. (2018). Detection and prioritization of developmentally neurotoxic and/or neurotoxic compounds using zebrafish. Tox. Sci., doi: https://doi.org/10.1093/toxsci/kfy291

7) Sachana M, Bal-Price A, Crofton KM, Bennekou SH, Shafer TJ, Behl M, Terron A. (2018) International regulatory and scientific effort for improved developmental neurotoxicity testing Tox. Sci. doi: https://doi.org/10.1093/toxsci/kfy211

8) Sirenko O, Parham F, Dea S, Sodhi N, Biesmans S, Mora S, Ryan K, Behl M, Chandy G, Crittenden C, Vargas-Hurlston S, Guicherit O, Gordon R, Zanella F, Carromeu C. (2018) Functional and mechanistic neurotoxicity profiling using human iPSC–derived neuronal 3D cultures. doi: https://doi.org/10.1093/toxsci/kfy218.

9) Zhang S, Hagstrom D, Hayes P, Graham A, Collins EM. (2018). Multi-behavioral endpoint testing of an 87-chemical compound library in freshwater planarians. Tox. Sci. doi: https://doi.org/10.1093/toxsci/kfy145

10) Ryan KR, Sirenko O, Parham F, Hsieh JH, Cromwell EF, Tice RR, Behl M. (2016). Neurite outgrowth in human induced pluripotent stem cell-derived neurons as a high-throughput screen for developmental neurotoxicity or neurotoxicity. Neurotoxicology. 2016 Mar;53:271-281. doi: https://doi.org/10.1016/j.neuro.2016.02.003

11) Nyffeler J, Dolde X, Krebs A, Pinto-Gil K, Pastor M, Behl M, Waldmann T, Leist M. (2017). Combination of multiple neural crest migration assays to identify environmental toxicants from a proof-of-concept chemical library. Arch Toxicol. Nov;91(11):3613-3632. doi: https://doi.org/10.1007/s00204-017-1977-y