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

¹National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA. huangru@mail.nih.gov.

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|March 16, 2022

Summary

This summary is machine-generated.

The Tox21 program uses quantitative high-throughput screening (qHTS) to analyze environmental chemicals. A new data analysis pipeline ensures assay quality and identifies on-target chemical activities.

Keywords:

Activity profile Concentration response HTS In vitro assay Tox21

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Area of Science:

Environmental toxicology
Chemical screening
High-throughput screening

Background:

The U.S. Tox21 program screens environmental chemicals using quantitative high-throughput screening (qHTS).
Over 100 million data points have been generated using triplicate 15-dose titrations.
Counterscreens are used to mitigate assay interferences like autofluorescence and cytotoxicity.

Purpose of the Study:

To develop and describe a comprehensive data analysis pipeline for qHTS data.
To evaluate the technical quality of qHTS data, focusing on signal reproducibility.
To integrate data from multiple sources for accurate activity calls.

Main Methods:

Development of a complete analysis pipeline for qHTS data.
Evaluation of technical quality, including signal reproducibility.
Integration of signals from repeated assay runs, primary readouts, and counterscreens.

Main Results:

The pipeline effectively evaluates qHTS data for technical quality.
Reproducibility of assay signals is a key quality metric.
Integrated data analysis leads to reliable identification of on-target compound activity.

Conclusions:

A robust data analysis pipeline is essential for interpreting large-scale qHTS data.
The described pipeline enhances the reliability of chemical activity assessments.
This approach supports accurate characterization of environmental chemical activities.