A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling
A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling
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DOI：
10.1007/978-1-4939-6346-1_12
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发表时间：
2016-01-01
期刊：
影响因子：
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通讯作者：
Huang, Ruili
中科院分区：
文献类型：
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作者：
Huang, Ruili
美国Tox21计划已经开发了体外分析方法，以定量高通量筛选(QHTS)的形式测试大量环境化学物质，使用三重15剂量滴定迄今产生了超过5000万个数据点。计数器筛选也被用来最大限度地减少非靶标特异性分析伪影的干扰，如化合物自动荧光和细胞毒性。需要新的数据分析方法来整合这些数据并描述从这些分析中观察到的活动。在这里，我们描述了一个完整的分析管道，从信号重现性的角度评估这些qHTS数据的技术质量。我们集成来自重复分析运行、初级读数和计数器屏幕的信号，以产生对靶标化合物活性的最终呼吁。
The US Tox21 program has developed in vitro assays to test large collections of environmental chemicals in a quantitative high-throughput screening (qHTS) format, using triplicate 15-dose titrations to generate over 50 million data points to date. Counter screens are also employed to minimize interferences from non-target-specific assay artifacts, such as compound auto fluorescence and cytotoxicity. New data analysis approaches are needed to integrate these data and characterize the activities observed from these assays. Here, we describe a complete analysis pipeline that evaluates these qHTS data for technical quality in terms of signal reproducibility. We integrate signals from repeated assay runs, primary readouts, and counter screens to produce a final call on on-target compound activity.