Chemical Genomics Profiling of Environmental Chemical Modulation of Human Nuclear Receptors

被引:164
作者
Huang, Ruili [1 ]
Xia, Menghang [1 ]
Cho, Ming-Hsuang [1 ]
Sakamuru, Srilatha [1 ]
Shinn, Paul [1 ]
Houck, Keith A. [2 ]
Dix, David J. [2 ]
Judson, Richard S. [2 ]
Witt, Kristine L. [3 ]
Kavlock, Robert J. [2 ]
Tice, Raymond R. [3 ]
Austin, Christopher P. [1 ]
机构
[1] NIH, Chem Genom Ctr, Dept Hlth & Human Serv, Bethesda, MD 20892 USA
[2] US EPA, Natl Ctr Computat Toxicol, Off Res & Dev, Res Triangle Pk, NC 27711 USA
[3] Natl Inst Environm Hlth Sci, Natl Toxicol Program, NIH, Dept Hlth & Human Serv, Res Triangle Pk, NC USA
基金
美国国家卫生研究院;
关键词
assay performance; chemical genomics; cytotoxicity; nuclear receptors; qHTS; Tox21; IN-VITRO; ESTROGEN-RECEPTOR; TOXICITY; IDENTIFICATION; DISEASE; HEALTH; ASSAYS; SUPERFAMILY; ANTAGONISM; EVOLUTION;
D O I
10.1289/ehp.1002952
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
BACKGROUND: The large and increasing number of chemicals released into the environment demands more efficient and cost-effective approaches for assessing environmental chemical toxicity. The U.S. Tox21 program has responded to this challenge by proposing alternative strategies for toxicity testing, among which the quantitative high-throughput screening (qHTS) paradigm has been adopted as the primary tool for generating data from screening large chemical libraries using a wide spectrum of assays. OBJECTIVES: The goal of this study was to develop methods to evaluate the data generated from these assays to guide future assay selection and prioritization for the Tox21 program. METHODS: We examined the data from the Tox21 pilot-phase collection of approximately 3,000 environmental chemicals profiled in qHTS format against a panel of 10 human nuclear receptors (AR, ER alpha, FXR, GR, LXR beta, PPAR gamma, PPAR delta, RXR alpha, TR beta, and VDR) for reproducibility, concordance of biological activity profiles with sequence homology of the receptor ligand binding domains, and structure-activity relationships. RESULTS: We determined the assays to be appropriate in terms of biological relevance. We found better concordance for replicate compounds for the agonist-mode than for the antagonist-mode assays, likely due to interference of cytotoxicity in the latter assays. This exercise also enabled us to formulate data-driven strategies for discriminating true signals from artifacts, and to prioritize assays based on data quality. CONCLUSIONS: The results demonstrate the feasibility of qHTS to identify the potential for environmentally relevant chemicals to interact with key toxicity pathways related to human disease induction.
引用
收藏
页码:1142 / 1148
页数:7
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