A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans

DOI :

10.3791/59082-v

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March 14th, 2019

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7,028 Views

Shan Gao^1*, Weiyang Chen^2*, Nan Zhang¹, Chi Xu³, Haiming Jing^1,4, Wenjing Zhang^1,4, Gaochao Han^1,4, Matthew Flavel⁵, Markandeya Jois⁵, Yingxin Zeng¹, Jing-Dong J. Han³, Bo Xian³, Guojun Li^1,4

¹Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control/Beijing Center of Preventive Medicine Research, China, ²College of Computer Science and Technology, Qilu University of Technology(Shandong Academy of Sciences), China, ³Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China, ⁴Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, China, ⁵School of Life Sciences, La Trobe University, Australia

Chapters

A quantitative method has been developed to identify and predict the acute toxicity of chemicals by automatically analyzing the phenotypic profiling of Caenorhabditis elegans. This protocol describes how to treat worms with chemicals in a 384-well plate, capture videos, and quantify toxicological related phenotypes.

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