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Discriminating the molecular basis of hepatotoxicity using the large-scale characteristic molecular signatures of toxicants by expression profiling analysis

Authors
Eun, Jung WooRyu, So YeonNoh, Ji HeonLee, Min-JaeJang, Ja-JunRyu, Jae ChunJung, Kwang HwaKim, Jeong KyuBae, Hyun JinXie, HongjianKim, Su YoungLee, Sug HyungPark, Won SangYoo, Nam JinLee, Jung YoungNam, Suk Woo
Issue Date
Jul-2008
Publisher
ELSEVIER IRELAND LTD
Keywords
Carcinogen; DNA microarray; Expression profiling; Hepatotoxicity; Non-carcinogen
Citation
TOXICOLOGY, v.249, no.2-3, pp 176 - 183
Pages
8
Journal Title
TOXICOLOGY
Volume
249
Number
2-3
Start Page
176
End Page
183
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65339
DOI
10.1016/j.tox.2008.05.001
ISSN
0300-483X
Abstract
Predicting the potential human health risk posed by chemical stressors; has long been a major challenge for toxicologists, and the use of microarrays to measure responses to toxicologically relevant genes, and to identify selective, sensitive biomarkers of toxicity is a major application of predictive and discovery toxicology. To investigate this possibility, we investigated whether carcinogens (at doses known to induce liver tumors in chronic exposure bioassays) deregulate characteristic sets of genes in mice. Male OH/He mice were dosed with two hepatocarcinogens (vinyl chloride (VC, 50-25 mg/kg), aldrin (AD, 0.8-0.4 mg/kg)), or two non-hepatocarcinogens (copper sulfate (CS, 150-60 mg/kg), 2,4,5-trichlorophenoxyacetic acid (2,4,5T, 150-60 mg/kg)). Large-scale molecular changes elicited by these four hepatotaxicants in liver tissues were analyzed using DNA microarray. Three days after administration, no significant phenotypic changes were induced by these four different hepatotoxicants in terms of histological examination or blood biochemical assay. However, unsupervised hierarchical analysis of gene expressional changes induced by hepatotoxicants resulted in two major gene subclusters on dendrogram, i.e., a carcinogen (VN, AD) and non-carcinogen group (CS, 2,4,5-T), and also revealed that distinct molecular signatures exist. These signatures were founded on well-defined functional gene categories and may differentiate genotoxic and non-genotoxic carcinogens. Furthermore, Venn diagram analysis allowed us to identify carcinogen and non-carcinogen-associated molecular signatures. Using statistical methods, we analyzed outlier genes for four different classes (genotoxic-, non-genotoxic-carcinogen, genotoxic-, non-genotoxic non-carcinogen) in terms of their potential to predict different modes-of-action. In conclusion, the identification of large-scale molecular changes in different hepatocarcinogen exposure models revealed that different types of hepatotoxicants are associated with different epigenetic changes and molecular pathways and that these large-scale characteristic molecular changes could be used as predictable toxicity markers. (C) 2008 Elsevier Ireland Ltd. All rights reserved.
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Kim, Jeong Kyu
자연과학대학 (생명과학과)
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