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Un saggio di High-throughput per la previsione di tossicità chimica di Automated fenotipica profilatura di Caenorhabditis elegans
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Un saggio di High-throughput per la previsione di tossicità chimica di Automated fenotipica profilatura di 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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Un metodo quantitativo è stato sviluppato per identificare e prevedere la tossicità acuta dei prodotti chimici analizzando automaticamente l'analisi fenotipica dei Caenorhabditis elegans. Questo protocollo descrive come trattare vermi con prodotti chimici in una piastra 384 pozzetti, catturare video e quantificare tossicologici fenotipi correlati.

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Scienze ambientali problema 145 sostanze chimiche tossicità elegans di Caenorhabditis analisi dell'immagine fenotipo quantificazione
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