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The establishment of soil pollution estimation method by gene profiling

基于基因谱的土壤污染估算方法的建立

基本信息

批准号：
15201007
负责人：
ARIZONO Koji
金额：
$ 27.12万
依托单位：
Prefectural University of Kumamoto
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15201007/
关键词：
C.elegans Macroarray Yeast Macroarray Metal Influence Soil Pollution Evaluation Bioassay Custom Tip Medaka バイオアツセイ

项目摘要

Various bioassays targeting different endpoints have been applied to assess the soil containing various chemicals and metals. However, the cellular responses to chemicals are regulated in complicated manner and the soil is often a complex mixture of variety of chemicals. Therefore, method for global analysis is required to elucidate toxic mode of action for chemicals or complex mixture such as polluted soils on whole cells or organisms. Recently developed DNA microarray enables us to simultaneously measure the expression of hundreds to thousands of genes, providing significant advances in the comprehensive understanding and prediction of toxicity compared with classical toxicology approaches. The genome-wide responses of yeast cells to polluted soils were analyzed to elucidate the toxic mode of action. We also attempted to establish a novel bioassay to detect environmental chemicals using expression pattern in C.elegans. In this study, we analyzed about 9000 genes to observe the gene expression pattern change by the effect of heavy metal using DNA microarray, and determined the specific response genes by cluster and statistic methods.

针对不同终点的各种生物测定已被应用于评估含有各种化学物质和金属的土壤。然而，细胞对化学物质的反应受到复杂的调节，土壤往往是多种化学物质的复杂混合物。因此，需要一种全局分析的方法来阐明化学物质或复杂混合物（如受污染的土壤）对整个细胞或生物体的毒性作用模式。最近开发的DNA微阵列使我们能够同时测量数百到数千个基因的表达，与经典毒理学方法相比，在全面理解和预测毒性方面取得了重大进展。分析了酵母细胞对污染土壤的全基因组反应，以阐明其毒性作用模式。我们还尝试建立一种新的生物测定方法，利用秀丽隐杆线虫的表达模式来检测环境化学物质。本研究利用DNA芯片分析了约9000个基因，观察了重金属对基因表达模式的影响，并通过聚类和统计方法确定了特定的应答基因。