Literature DB >> 35294764

Accounting for Artifacts in High-Throughput Toxicity Assays.

Jui-Hua Hsieh1.   

Abstract

Compound activity identification is the primary goal in high throughput screening (HTS) assays. However, assay artifacts including both systematic (e.g., compound autofluorescence) and nonsystematic (e.g., noise) complicate activity interpretation. In addition, other than the traditional potency parameter, half-maximal effect concentration [EC50], additional activity parameters (e.g., point-of-departure [POD] and weighted area-under-the-curve [wAUC]) could be derived from HTS data for activity profiling. A data analysis pipeline has been developed to handle the artifacts, and to provide compound activity characterization with either binary or continuous metrics. This chapter outlines the steps in the pipeline using Tox21 estrogen receptor (ER) β-lactamase assays, including the formats to identify either agonists or antagonists, as well as the counterscreen assays for identifying artifacts as examples. The steps can be applied to other lower throughput assays with concentration-response data.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Entities:  

Keywords:  Assay artifacts; Concentration–response data; Data analysis pipeline; HTS; Point-of-departure; Tox21; qHTS

Mesh:

Year:  2022        PMID: 35294764     DOI: 10.1007/978-1-0716-2213-1_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  19 in total

1.  A high-throughput screen for aggregation-based inhibition in a large compound library.

Authors:  Brian Y Feng; Anton Simeonov; Ajit Jadhav; Kerim Babaoglu; James Inglese; Brian K Shoichet; Christopher P Austin
Journal:  J Med Chem       Date:  2007-04-21       Impact factor: 7.446

2.  Recommendations for the reduction of compound artifacts in time-resolved fluorescence resonance energy transfer assays.

Authors:  Pierre-Eloi Imbert; Vincent Unterreiner; Daniela Siebert; Hanspeter Gubler; Christian Parker; Daniela Gabriel
Journal:  Assay Drug Dev Technol       Date:  2007-06       Impact factor: 1.738

3.  A Data Analysis Pipeline Accounting for Artifacts in Tox21 Quantitative High-Throughput Screening Assays.

Authors:  Jui-Hua Hsieh; Alexander Sedykh; Ruili Huang; Menghang Xia; Raymond R Tice
Journal:  J Biomol Screen       Date:  2015-04-22

4.  Fluorescence spectroscopic profiling of compound libraries.

Authors:  Anton Simeonov; Ajit Jadhav; Craig J Thomas; Yuhong Wang; Ruili Huang; Noel T Southall; Paul Shinn; Jeremy Smith; Christopher P Austin; Douglas S Auld; James Inglese
Journal:  J Med Chem       Date:  2008-03-26       Impact factor: 7.446

Review 5.  Impact of high-throughput screening in biomedical research.

Authors:  Ricardo Macarron; Martyn N Banks; Dejan Bojanic; David J Burns; Dragan A Cirovic; Tina Garyantes; Darren V S Green; Robert P Hertzberg; William P Janzen; Jeff W Paslay; Ulrich Schopfer; G Sitta Sittampalam
Journal:  Nat Rev Drug Discov       Date:  2011-03       Impact factor: 84.694

6.  CurveP Method for Rendering High-Throughput Screening Dose-Response Data into Digital Fingerprints.

Authors:  Alexander Sedykh
Journal:  Methods Mol Biol       Date:  2016

7.  Quantitative high-throughput screening data analysis: challenges and recent advances.

Authors:  Keith R Shockley
Journal:  Drug Discov Today       Date:  2014-10-23       Impact factor: 7.851

8.  Firefly luciferase in chemical biology: a compendium of inhibitors, mechanistic evaluation of chemotypes, and suggested use as a reporter.

Authors:  Natasha Thorne; Min Shen; Wendy A Lea; Anton Simeonov; Scott Lovell; Douglas S Auld; James Inglese
Journal:  Chem Biol       Date:  2012-08-24

9.  Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity.

Authors:  Alexander Sedykh; Hao Zhu; Hao Tang; Liying Zhang; Ann Richard; Ivan Rusyn; Alexander Tropsha
Journal:  Environ Health Perspect       Date:  2010-10-27       Impact factor: 9.031

Review 10.  Improving the human hazard characterization of chemicals: a Tox21 update.

Authors:  Raymond R Tice; Christopher P Austin; Robert J Kavlock; John R Bucher
Journal:  Environ Health Perspect       Date:  2013-04-19       Impact factor: 9.031

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