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

Ruili Huang1

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

Methods in Molecular Biology (Clifton, N.J.)
|August 13, 2016
PubMed
Summary
This summary is machine-generated.

The US Tox21 program developed quantitative high-throughput screening (qHTS) assays for environmental chemicals. A new analysis pipeline integrates assay data, including counter screens, to ensure reliable identification of on-target compound activity.

Keywords:
Activity profileConcentration responseHTSIn vitro assayTox21

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Area of Science:

  • Toxicology
  • Chemical screening
  • Assay development

Background:

  • The US Tox21 program utilizes in vitro assays for environmental chemical testing.
  • Quantitative high-throughput screening (qHTS) generates extensive chemical activity data.
  • Assay artifacts like autofluorescence and cytotoxicity require careful management.

Purpose of the Study:

  • To develop a comprehensive data analysis pipeline for qHTS data.
  • To evaluate the technical quality and signal reproducibility of assay results.
  • To integrate primary assay readouts and counter screen data for accurate activity calls.

Main Methods:

  • Implementation of a complete analysis pipeline for qHTS data.
  • Evaluation of signal reproducibility across triplicate 15-dose titrations.
  • Integration of data from repeated assay runs and counter screens.
  • Application of data analysis to identify on-target compound activity.

Main Results:

  • The pipeline successfully evaluates technical quality and signal reproducibility.
  • Integration of multiple data sources enhances the reliability of activity calls.
  • Over 50 million data points have been generated to date.
  • The approach minimizes interferences from non-target-specific assay artifacts.

Conclusions:

  • A robust analysis pipeline is essential for interpreting large-scale qHTS data.
  • The described pipeline ensures accurate characterization of chemical activities.
  • This method supports reliable identification of on-target compound effects in environmental chemical testing.