Literature DB >> 21251949

Activity profiles of 309 ToxCast™ chemicals evaluated across 292 biochemical targets.

Thomas B Knudsen1, Keith A Houck, Nisha S Sipes, Amar V Singh, Richard S Judson, Matthew T Martin, Arthur Weissman, Nicole C Kleinstreuer, Holly M Mortensen, David M Reif, James R Rabinowitz, R Woodrow Setzer, Ann M Richard, David J Dix, Robert J Kavlock.   

Abstract

Understanding the potential health risks posed by environmental chemicals is a significant challenge elevated by the large number of diverse chemicals with generally uncharacterized exposures, mechanisms, and toxicities. The present study is a performance evaluation and critical analysis of assay results for an array of 292 high-throughput cell-free assays aimed at preliminary toxicity evaluation of 320 environmental chemicals in EPA's ToxCast™ project (Phase I). The chemicals (309 unique, 11 replicates) were mainly precursors or the active agent of commercial pesticides, for which a wealth of in vivo toxicity data is available. Biochemical HTS (high-throughput screening) profiled cell and tissue extracts using semi-automated biochemical and pharmacological methodologies to evaluate a subset of G-protein coupled receptors (GPCRs), CYP450 enzymes (CYPs), kinases, phosphatases, proteases, HDACs, nuclear receptors, ion channels, and transporters. The primary screen tested all chemicals at a relatively high concentration 25 μM concentration (or 10 μM for CYP assays), and a secondary screen re-tested 9132 chemical-assay pairs in 8-point concentration series from 0.023 to 50 μM (or 0.009-20 μM for CYPs). Mapping relationships across 93,440 chemical-assay pairs based on half-maximal activity concentration (AC50) revealed both known and novel targets in signaling and metabolic pathways. The primary dataset, summary data and details on quality control checks are available for download at http://www.epa.gov/ncct/toxcast/.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21251949     DOI: 10.1016/j.tox.2010.12.010

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  46 in total

1.  Caenorhabditis elegans as a model in developmental toxicology.

Authors:  Windy A Boyd; Marjolein V Smith; Jonathan H Freedman
Journal:  Methods Mol Biol       Date:  2012

Review 2.  Obesogens, stem cells and the developmental programming of obesity.

Authors:  A Janesick; B Blumberg
Journal:  Int J Androl       Date:  2012-02-28

3.  Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor.

Authors:  Richard S Judson; Felicia Maria Magpantay; Vijay Chickarmane; Cymra Haskell; Nessy Tania; Jean Taylor; Menghang Xia; Ruili Huang; Daniel M Rotroff; Dayne L Filer; Keith A Houck; Matthew T Martin; Nisha Sipes; Ann M Richard; Kamel Mansouri; R Woodrow Setzer; Thomas B Knudsen; Kevin M Crofton; Russell S Thomas
Journal:  Toxicol Sci       Date:  2015-08-13       Impact factor: 4.849

Review 4.  Reducing safety-related drug attrition: the use of in vitro pharmacological profiling.

Authors:  Joanne Bowes; Andrew J Brown; Jacques Hamon; Wolfgang Jarolimek; Arun Sridhar; Gareth Waldron; Steven Whitebread
Journal:  Nat Rev Drug Discov       Date:  2012-12       Impact factor: 84.694

5.  In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning.

Authors:  Qingda Zang; Kamel Mansouri; Antony J Williams; Richard S Judson; David G Allen; Warren M Casey; Nicole C Kleinstreuer
Journal:  J Chem Inf Model       Date:  2017-01-09       Impact factor: 4.956

6.  An "EAR" on Environmental Surveillance and Monitoring: A Case Study on the Use of Exposure-Activity Ratios (EARs) to Prioritize Sites, Chemicals, and Bioactivities of Concern in Great Lakes Waters.

Authors:  Brett R Blackwell; Gerald T Ankley; Steven R Corsi; Laura A DeCicco; Keith A Houck; Richard S Judson; Shibin Li; Matthew T Martin; Elizabeth Murphy; Anthony L Schroeder; Edwin R Smith; Joe Swintek; Daniel L Villeneuve
Journal:  Environ Sci Technol       Date:  2017-07-18       Impact factor: 9.028

7.  In vitro models for liver toxicity testing.

Authors:  Valerie Y Soldatow; Edward L Lecluyse; Linda G Griffith; Ivan Rusyn
Journal:  Toxicol Res (Camb)       Date:  2012-11-23       Impact factor: 3.524

8.  Comparing Machine Learning Models for Aromatase (P450 19A1).

Authors:  Kimberley M Zorn; Daniel H Foil; Thomas R Lane; Wendy Hillwalker; David J Feifarek; Frank Jones; William D Klaren; Ashley M Brinkman; Sean Ekins
Journal:  Environ Sci Technol       Date:  2020-11-19       Impact factor: 9.028

9.  Evaluating the Impact of Uncertainties in Clearance and Exposure When Prioritizing Chemicals Screened in High-Throughput Assays.

Authors:  Jeremy A Leonard; Ashley Sobel Leonard; Daniel T Chang; Stephen Edwards; Jingtao Lu; Steven Scholle; Phillip Key; Maxwell Winter; Kristin Isaacs; Yu-Mei Tan
Journal:  Environ Sci Technol       Date:  2016-05-12       Impact factor: 9.028

10.  Editor's Highlight: Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space.

Authors:  Richard Judson; Keith Houck; Matt Martin; Ann M Richard; Thomas B Knudsen; Imran Shah; Stephen Little; John Wambaugh; R Woodrow Setzer; Parth Kothiya; Jimmy Phuong; Dayne Filer; Doris Smith; David Reif; Daniel Rotroff; Nicole Kleinstreuer; Nisha Sipes; Menghang Xia; Ruili Huang; Kevin Crofton; Russell S Thomas
Journal:  Toxicol Sci       Date:  2016-05-20       Impact factor: 4.849

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