Literature DB >> 19773588

Profiling bioactivity of the ToxCast chemical library using BioMAP primary human cell systems.

Keith A Houck1, David J Dix, Richard S Judson, Robert J Kavlock, Jian Yang, Ellen L Berg.   

Abstract

The complexity of human biology has made prediction of health effects as a consequence of exposure to environmental chemicals especially challenging. Complex cell systems, such as the Biologically Multiplexed Activity Profiling (BioMAP) primary, human, cell-based disease models, leverage cellular regulatory networks to detect and distinguish chemicals with a broad range of target mechanisms and biological processes relevant to human toxicity. Here the authors use the BioMAP human cell systems to characterize effects relevant to human tissue and inflammatory disease biology following exposure to the 320 environmental chemicals in the Environmental Protection Agency's (EPA's) ToxCast phase I library. The ToxCast chemicals were assayed at 4 concentrations in 8 BioMAP cell systems, with a total of 87 assay endpoints resulting in more than 100,000 data points. Within the context of the BioMAP database, ToxCast compounds could be classified based on their ability to cause overt cytotoxicity in primary human cell types or according to toxicity mechanism class derived from comparisons to activity profiles of BioMAP reference compounds. ToxCast chemicals with similarity to inducers of mitochondrial dysfunction, cAMP elevators, inhibitors of tubulin function, inducers of endoplasmic reticulum stress, or NFkappaB pathway inhibitors were identified based on this BioMAP analysis. This data set is being combined with additional ToxCast data sets for development of predictive toxicity models at the EPA.

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Year:  2009        PMID: 19773588     DOI: 10.1177/1087057109345525

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  27 in total

Review 1.  Chemical compounds from anthropogenic environment and immune evasion mechanisms: potential interactions.

Authors:  Julia Kravchenko; Emanuela Corsini; Marc A Williams; William Decker; Masoud H Manjili; Takemi Otsuki; Neetu Singh; Faha Al-Mulla; Rabeah Al-Temaimi; Amedeo Amedei; Anna Maria Colacci; Monica Vaccari; Chiara Mondello; A Ivana Scovassi; Jayadev Raju; Roslida A Hamid; Lorenzo Memeo; Stefano Forte; Rabindra Roy; Jordan Woodrick; Hosni K Salem; Elizabeth P Ryan; Dustin G Brown; William H Bisson; Leroy Lowe; H Kim Lyerly
Journal:  Carcinogenesis       Date:  2015-05-22       Impact factor: 4.944

2.  Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms.

Authors:  Nicole C Kleinstreuer; Jian Yang; Ellen L Berg; Thomas B Knudsen; Ann M Richard; Matthew T Martin; David M Reif; Richard S Judson; Mark Polokoff; David J Dix; Robert J Kavlock; Keith A Houck
Journal:  Nat Biotechnol       Date:  2014-05-18       Impact factor: 54.908

3.  Sources, mechanisms, and consequences of chemical-induced mitochondrial toxicity.

Authors:  Joel N Meyer; Sherine S L Chan
Journal:  Toxicology       Date:  2017-06-13       Impact factor: 4.221

4.  From the Cover: An Animal-Free In Vitro Three-Dimensional Testicular Cell Coculture Model for Evaluating Male Reproductive Toxicants.

Authors:  Lei Yin; Hongye Wei; Shenxuan Liang; Xiaozhong Yu
Journal:  Toxicol Sci       Date:  2017-10-01       Impact factor: 4.849

5.  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

6.  Relating Essential Proteins to Drug Side-Effects Using Canonical Component Analysis: A Structure-Based Approach.

Authors:  Tianyun Liu; Russ B Altman
Journal:  J Chem Inf Model       Date:  2015-07-16       Impact factor: 4.956

7.  A novel framework for predicting in vivo toxicities from in vitro data using optimal methods for dense and sparse matrix reordering and logistic regression.

Authors:  Peter A DiMaggio; Ashwin Subramani; Richard S Judson; Christodoulos A Floudas
Journal:  Toxicol Sci       Date:  2010-08-11       Impact factor: 4.849

8.  Evaluation of computational docking to identify pregnane X receptor agonists in the ToxCast database.

Authors:  Sandhya Kortagere; Matthew D Krasowski; Erica J Reschly; Madhukumar Venkatesh; Sridhar Mani; Sean Ekins
Journal:  Environ Health Perspect       Date:  2010-06-17       Impact factor: 9.031

9.  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

10.  Human iPSC-derived endothelial cell sprouting assay in synthetic hydrogel arrays.

Authors:  David G Belair; Michael P Schwartz; Thomas Knudsen; William L Murphy
Journal:  Acta Biomater       Date:  2016-05-13       Impact factor: 8.947

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