Annual Meeting of the Japanese Society of Toxicology
The 50th Annual Meeting of the Japanese Society of Toxicology
Session ID : S2-4
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Symposium 2: ToxicoEpigenetics as a leading edge of Toxicomics and the role of AI to its deployment
Comparative analysis of gene expression profiles induced by PPAR alpha ligands
*Yayoi NATSUME-KITATANIKen-ichi AISAKISatoshi KITAJIMAJun KANNO
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Abstract

The Percellome database [1], which enables quantitative comparisons of gene expression profiles (microarray data) induced by toxic chemicals by the process of estimating the number of mRNA copies per cell, is a useful resource for inferring the molecular mechanisms of toxicity caused by chemical exposure. The database contains gene expression levels (the number of mRNA copies per cell estimated by the above process) for each exposure dose and time in mice. By quantitatively capturing the dynamic changes in gene expression, it is possible to extract "what kind of molecular network changes can be linked to toxicity expression due to chemical exposure. We selected known PPAR alpha (Peroxisome Proliferator Activated Receptor Alpha) ligands and chemicals that have been implied to be PPAR alpha ligands based on our previous research results (clofibrate, valproic acid, estragole, DEHP (di(2-ethylhexyl)phthalate) and PB (phenobarbital)) for our analysis. We compared the patterns of dynamic changes in gene expression levels of these five chemicals, and detected common and unique patterns among them. In this presentation, a wide variety of biological responses induced by thesechemical exposures will be reported and useful analytical tools will be introduced.

[1] Kanno J. et al., J. Toxicol. Sci. 2013;38(4): 643-654

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