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Un análisis de alto rendimiento para la predicción de toxicidad química por perfiles fenotípicos automatizado de Caenorhabditis elegans
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Un análisis de alto rendimiento para la predicción de toxicidad química por perfiles fenotípicos automatizado 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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Se ha desarrollado un método cuantitativo para identificar y predecir la toxicidad de productos químicos, analizando automáticamente los perfiles fenotípicos de Caenorhabditis elegans. Este protocolo describe cómo tratar gusanos con productos químicos en una placa de 384 pozos, capturar videos y cuantificar fenotipos relacionados toxicológicos.

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Ciencias ambientales número 145 productos químicos toxicidad elegans de Caenorhabditis fenotipo análisis de imagen cuantificación
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