A Quantitative Toxicogenomics Assay for High-throughput and Mechanistic Genotoxicity Assessment and Screening of Environmental Pollutants

被引:37
|
作者
Lan, Jiaqi [1 ]
Gou, Na [1 ]
Rahman, Sheikh Moklies [1 ]
Gao, Ce [1 ]
He, Miao [2 ]
Gu, April Z. [1 ]
机构
[1] Northeastern Univ, Dept Civil & Environm Engn, 360 Huntington Ave, Boston, MA 02115 USA
[2] Tsinghua Univ, Sch Environm, Environm Simulat & Pollut Control ESPC State Key, Beijing 100084, Peoples R China
基金
美国国家科学基金会;
关键词
NUCLEOTIDE EXCISION-REPAIR; GENE-EXPRESSION PROFILE; OXIDATIVE DNA-DAMAGE; IN-VITRO METHODS; DRINKING-WATER; HYDROGEN-PEROXIDE; COMET ASSAY; CELLS; TOXICITY; ACID;
D O I
10.1021/acs.est.5b05097
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The ecological and health concern of mutagenicity and carcinogenicity potentially associated with an overwhelmingly large and ever-increasing number of chemicals demands for cost-effective and feasible method for genotoxicity screening and risk assessment. This study proposed a genotoxicity assay using GFP-tagged yeast reporter strains, covering 38 selected protein biomarkers indicative of all the seven known DNA damage repair pathways. The assay was applied to assess four model genotoxic chemicals, eight environmental pollutants and four negative controls across six concentrations. Quantitative molecular genotoxicity end points were derived based on dose response modeling of a newly developed integrated molecular effect quantifier, Protein Effect Level Index (PELI). The molecular genotoxicity end points were consistent with multiple conventional in vitro genotoxicity assays, as well as with in vivo carcinogenicity assay results. Further more, the proposed genotoxicity end point PELI values quantitatively correlated with both comet assay in human cell and carcinogenicity potency assay in mice, providing promising evidence for linking the molecular disturbance measurements to adverse outcomes at a biological relevant level. In addition, the high-resolution DNA damaging repair pathway alternated protein expression profiles allowed for chemical clustering and classification. This toxicogenomics-based assay presents a promising alternative for fast, efficient and mechanistic genotoxicity screening and assessment of drugs, foods, and environmental contaminants.
引用
收藏
页码:3202 / 3214
页数:13
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