Abstract
The U.S. 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 100 million data points to date. Counterscreens are also employed to minimize interferences from non–target-specific assay artifacts, such as compound autofluorescence 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 counterscreens to produce a final call on on-target compound activity.
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Huang, R. (2022). A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling. In: Zhu, H., Xia, M. (eds) High-Throughput Screening Assays in Toxicology. Methods in Molecular Biology, vol 2474. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2213-1_13
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DOI: https://doi.org/10.1007/978-1-0716-2213-1_13
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