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A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling

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High-Throughput Screening Assays in Toxicology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1473))

Abstract

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.

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Authors and Affiliations

  1. National Center for Advancing Translational Sciences, National Institutes of Health, Building B, MSC: 3370, 9800 Medical Center Drive, Bethesda, MD, 20892, USA

    Ruili Huang

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  1. Ruili Huang
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Correspondence to Ruili Huang .

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Editors and Affiliations

  1. Department of Chemistry Rutgers Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey, USA

    Hao Zhu

  2. National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA

    Menghang Xia

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Huang, R. (2016). 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 1473. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6346-1_12

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  • DOI: https://doi.org/10.1007/978-1-4939-6346-1_12

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6344-7

  • Online ISBN: 978-1-4939-6346-1

  • eBook Packages: Springer Protocols

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