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논문 기본 정보

자료유형
학술저널
저자정보
Kim, Seung-Jun (Department of Biochemistry, Hanyang University) Park, Hye-Won (GenoCheck Co. Ltd.) Yu, So-Yeon (GenoCheck Co. Ltd.) Kim, Jun-Sub (GenoCheck Co. Ltd.) Ha, Jung-Mi (GenoCheck Co. Ltd.) Youn, Jong-Pil (GenoCheck Co. Ltd.) An, Yu-Ri (Department of Biochemistry, Hanyang University) Oh, Moon-Ju (GenoCheck Co. Ltd.) Kim, Youn-Jung (Cellular and Molecular Toxicology Laboratory, Korea Institute of Science & Technology) Ryu, Jae-Chun (Cellular and Molecular Toxicology Laboratory, Korea Institute of Science & Technology) Hwang, Seung-Yong (Department of Biochemistry, Hanyang University)
저널정보
대한독성유전단백체학회 Molecular & cellular toxicology Molecular & cellular toxicology 제5권 제4호
발행연도
2009.1
수록면
310 - 316 (7page)

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Some environmental chemicals have been shown to cause liver-toxicity as the result of bioaccumulation. Particularly, fungicides have been shown to cause varying degrees of hepatictoxicity and to disrupt steroid hormone homeostasis in in vivo models. The principal objective of this study was to evaluate the liver-toxic responses of environmental chemicals-in this case selected fungicides and parasiticides-in order to determine whether or not this agent differentially affected its toxicogenomic activities in hepatic tumor cell lines. To determine the gene expression profiles of 3 fungicides (triadimefon, myclobutanil, vinclozolin) and 1 parasiticide (dibutyl phthalate), we utilized a modified HazChem human array V2. Additionally, in order to observe the differential alterations in its time-dependent activities, we conducted two time (3 hr, 48 hr) exposures to the respective IC20 values of four chemicals. As a result, we analyzed the expression profiles of a total of 1638 genes, and we identified 70 positive significant genes and 144 negative significant genes using four fungicidic and parasiticidic chemicals, using SAM (Significant Analysis of Microarray) methods (q-value<0.5%). These genes were analyzed and identified as being related to apoptosis, stress responses, germ cell development, cofactor metabolism, and lipid metabolism in GO functions and pathways. Additionally, we found 120 genes among those time-dependently differentially expressed genes, using 1-way ANOVA (P-value<0.05). These genes were related to protein metabolism, stress responses, and positive regulation of apoptosis. These data support the conclusion that the four tested chemicals have common toxicogenomic effects and evidence respectively differential expression profiles according to exposure time.

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