Session 1 Chair Jun Kanno
Japan Bioassay Research Center
Toxicology is a study to analyze interaction between living organisms and xenobiotics, and its final goal is to secure the safety of humans and environment in modern life. To modernize the toxicology and improve the accuracy of safety assessments, an attempting to describe and understand the organism-xenobiotics interaction at the molecular levels has been performed worldwide by various approaches. As a rule, a major prerequisite is that the Toxicology must be prepared for any unexpected responses. Thus, the approach must be comprehensive. Using the whole-genome cDNA microarray system, the Percellome Toxicogenomics Project has been launched to develop the comprehensive gene regulatory network database and its informatics for the mechanism-based predictive toxicology. Up to now, the time- and dose-dependent alternations of gene expression induced in mouse liver (4 time points X 4 dose levels, triplicate, 48 per chemical) are monitored on more than 140 chemicals. Data from Affymetrix MOE430 2.0 GeneChip are visualized as 3-D graphs (time x dose x copy number per cell).
Now the project has expanded both in data acquisition and data analysis. In this session, three topics, one on data acquisition and two on analysis will be presented. First talk is about the new series of data on interaction between lung/liver and brain (hippocampus) at low dose inhalation exposure levels. Second and third talk will be on advanced Percellome data analysis under the “open” environment including “Garuda” platform.
It is hoped that this session would indicate the direction of toxicogenomics towards real application to the chemical hazard assessment/ risk assessment