Related Experiment Video
Updated: Apr 14, 2026
09:44
High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
Published on: March 3, 2015
10.1K
A Data Analysis Pipeline Accounting for Artifacts in Tox21 Quantitative High-Throughput Screening Assays
Jui-Hua Hsieh1, Alexander Sedykh2, Ruili Huang3
1Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA jui-hua.hsieh@nih.gov.
Journal of Biomolecular Screening
|April 24, 2015
Summary
This study introduces a new data analysis pipeline for the Tox21 program to improve the accuracy of high-throughput screening (HTS) results. The weighted area under the curve (wAUC) method offers superior reproducibility for profiling compound activity.
Area of Science:
- Toxicology
- Biochemistry
- Computational Biology
Background:
- The U.S. Tox21 program aims to profile a 10,000-compound library using quantitative high-throughput screening (qHTS).
- Assay artifacts like nonreproducible signals and interference (e.g., autofluorescence) hinder accurate interpretation of compound activity.
- A robust data analysis pipeline is crucial for reliable compound profiling in HTS.
Purpose of the Study:
- To develop and validate a data analysis pipeline addressing artifacts in Tox21 qHTS data.
- To enhance the interpretation of compound activity by improving signal quantification and artifact detection.
- To establish a more reproducible method for assessing chemical compound activity in biological assays.
Main Methods:
- Developed a data analysis pipeline incorporating an updated signal noise-filtering/curation protocol and an assay interference flagging system.
- Utilized a weighted area under the curve (wAUC) to quantify compound activity across the concentration range.
- Compared wAUC with point-of-departure (POD) and half-maximal activity concentration (AC50) for reproducibility using Pearson's r correlation.
- Characterized common assay artifacts, focusing on cytotoxicity and autofluorescence.
Main Results:
- The developed pipeline effectively filters noise and flags assay interference.
- Signal profiling using wAUC demonstrated superior reproducibility (Pearson's r = 0.91) compared to POD (0.82) or AC50 (0.81).
- Cytotoxicity was identified as the primary confounding factor, affecting approximately 8% of compounds, while autofluorescence affected less than 0.5%.
Conclusions:
- The wAUC method provides a more reproducible metric for quantifying compound activity in qHTS compared to traditional methods.
- The new data analysis pipeline and artifact flagging system enhance the reliability of Tox21 compound profiling.
- Implemented graphical user interface applications facilitate rapid evaluation of in vitro compound activity, aiding toxicological research.
