ArticleComputational toxicology (Amsterdam, Netherlands)2019
Time-dependent behavioral data from zebrafish reveals novel signatures of chemical toxicity using point of departure analysis.
Article in Computational toxicology (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Comparing the Behavioral Impacts of Heavy Metals and Rare Earth Elements on Black Soldier Fly (Toxics · 2026Article
- Review
- bmdrc: Python package for quantifying phenotypes from chemical exposures with benchmark dose modeling.PLoS computational biology · 2025Article
- A data analysis approach for locomotor behavioral responses in developmentally exposed zebrafish.NAM journal · 2025Article
- A novel multitask learning algorithm for tasks with distinct chemical space: zebrafish toxicity prediction as an example.Journal of cheminformatics · 2024Article
- The Superfund Research Program Analytics Portal: linking environmental chemical exposure to biological phenotypes.Scientific data · 2023Article
- Exploring the Influence of Experimental Design on Toxicity Outcomes in Zebrafish Embryo Tests.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- Grouping of chemicals into mode of action classes by automated effect pattern analysis using the zebrafish embryo toxicity test.Archives of toxicology · 2022Article
- The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity.Reproductive toxicology (Elmsford, N.Y.) · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
High-content imaging of larval zebrafish behavior can be used as a screening approach to rapidly evaluate the relative potential for chemicals to cause toxicity. However, most statistical methods applied to these data transform movement values to incidence-based "hits" and calculate lowest effect levels (LELs), which loses individual fish resolution of behavior and defies hazard ranking due to reliance on applied dose levels. We developed a parallelizable workflow to calculate benchmark dose (BMD) values from dynamic, high-content zebrafish behavior data that scales for high-throughput chemical screening. To capture the zebrafish movement response from light to dark stimulus, we summarized time-dependent data using both area under the curve and the immediate change at the transition point into two novel metrics that characterized abnormal behavior as a function of chemical concentration. The BMD workflow was applied to calculate BMD
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Registered trials
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