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Updated: Jun 10, 2026

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC
Published on: May 10, 2016
Analytical Quality Evaluation of the Tox21 Compound Library.
Ann M Richard1, Dingyin Tao2, Christopher A LeClair2
1Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency (EPA), Research Triangle Park, North Carolina 27711, United States.
Ensuring compound quality is crucial for accurate high-throughput screening (HTS) results. This study assessed the Tox21 library
Area of Science:
- Analytical Chemistry
- Chemical Biology
- Toxicology
Background:
- High-throughput screening (HTS) relies on the analytical quality of chemical compounds.
- The Tox21 library, comprising over 8900 diverse chemicals, presents quality control (QC) challenges for HTS.
- Accurate compound QC is essential to prevent false positives/negatives in HTS assays.
Purpose of the Study:
- To detail the analytical quality control (QC) methods applied to the Tox21 library.
- To report on the purity, identity, and concentration of Tox21 compounds over time.
- To establish a compound-level QC score to support structure-based analyses and HTS interpretation.
Main Methods:
- Compounds from the Tox21 library were analyzed using liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance (NMR).
- Samples were stored in DMSO at ambient conditions for 0 (T0) and 4 months (T4).
- Expert review of analytical results led to the assignment of QC grades, condensed into quality scores for global analysis.
Main Results:
- Of successfully graded T0 samples, 92% were analyzed, with 76% exceeding 90% purity.
- For samples tested at T4, 89% showed no degradation or loss after 4 months.
- Chemotype analysis identified structural features associated with compound instability and varying quality.
Conclusions:
- The study provides a robust QC framework for the Tox21 library, improving data reliability for HTS.
- A significant majority of compounds maintained high purity and stability over a 4-month period.
- The developed QC metrics and future public browser will enhance HTS interpretation and predictive modeling.
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