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Um ensaio de alta produtividade para a predição da toxicidade química por Automated Caracterização fenotípica de Caenorhabditis elegans
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Um ensaio de alta produtividade para a predição da toxicidade química por Automated Caracterização fenotípica de Caenorhabditis elegans

Article DOI: 10.3791/59082-v • 09:01 min • March 14th, 2019
March 14th, 2019 •
*1, *2, 1, 3, 1,4, 1,4, 1,4, 5, 5, 1, 3, 3, 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
* These authors contributed equally

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Um método quantitativo foi desenvolvido para identificar e prever a toxicidade aguda de substâncias químicas, analisando automaticamente a caracterização fenotípica de Caenorhabditis elegans. Este protocolo descreve como tratar vermes com produtos químicos em uma placa de 384, capturar vídeos e quantificar toxicológicos fenótipos relacionados.

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Ciências do ambiente edição 145 produtos químicos toxicidade Caenorhabditis elegans análise de imagem fenótipo quantificação
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