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一种
用自动表型分析预测线虫化学毒性的高通量测定
JoVE Journal
Environment
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Environment
A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of
Caenorhabditis elegans
Please note that all translations are automatically generated.
Click here for the English version.
一种
用自动表型分析预测线虫化学毒性的高通量测定
DOI:
10.3791/59082-v
•
09:01 min
•
March 14, 2019
•
Shan Gao*
1
,
Weiyang Chen*
2
,
Nan Zhang
,
Chi Xu
,
Haiming Jing
4
,
Wenjing Zhang
4
,
Gaochao Han
4
,
Matthew Flavel
,
Markandeya Jois
,
Yingxin Zeng
,
Jing-Dong J. Han
,
Bo Xian
,
Guojun Li
4
1
Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning
,
Beijing Center for Disease Prevention and Control/Beijing Center of Preventive Medicine Research, China
,
2
College of Computer Science and Technology
,
Qilu University of Technology(Shandong Academy of Sciences), China
,
3
Key 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
,
4
Beijing Key Laboratory of Environmental Toxicology, School of Public Health
,
Capital Medical University, China
,
5
School of Life Sciences
,
La Trobe University, Australia
Chapters
00:04
Title
01:38
Chemical Preparation
02:28
Worm Preparation
04:55
Chemical Treatment and Experiment Video Processing
06:47
Results: Mortality and Motility After Chemical Treatment
08:10
Conclusion
Summary
Automatic Translation
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Automatic Translation
通过对
线虫
表型分析的自动分析, 提出了一种定量鉴别和预测化学品急性毒性的方法。该协议描述了如何在384孔板中使用化学物质处理蠕虫, 捕获视频, 并量化与毒理学相关的表型。
Tags
C. Elegans
Toxicity Assay
High-throughput
Automated Phenotypic Profiling
Chemical Toxicity Prediction
384-well Plate
Video Capture
Quantitative Analysis
Rapid Toxicity Assessment
Cadmium Chloride
E. Coli OP50
NGM Plates
Article
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