College of Life Sciences and Biotechnology, Korea University, Seoul 136-701, Republic of Korea.
Aquat Toxicol. 2011 Oct;105(3-4):569-75. doi: 10.1016/j.aquatox.2011.08.019. Epub 2011 Aug 27.
To strengthen the toxicogenomic study, we constructed a library of hepatic cDNA from Japanese medaka under influence of specific chemical mediated stress responses. Gene expression profile analysis of the cDNA microarrays followed by real time RT-PCR assay were conducted to screen particular biomarkers for 17-beta estradiol (E2), nonylphenol (NP) and 2-chlorophenol (2CP). Information of 1509 high-quality ESTs including 260 new ESTs was added onto GenBank and dbEST. The ESTs were clustered and assembled into 159 contigs and 372 singletons. Among them, 128 contigs and 163 singletons (54.8%) were functionally characterized and 13 UniESTs (2.5%) were hypothetical proteins. Ontology analysis resulting in 282 UniESTs which involved with 2102 GOs and 93 sequences associated with 116 enzyme codes. For each test chemical, two specific biomarkers were selected from the gene expression profiling of microarrays. The expression patterns of the marker genes in real time PCR analysis were consistent with the regulated gene expression patterns in microarrays. The tentative biomarkers showed unique gene expression patterns depending on chemical concentration(s) and exposure duration in real time RT-PCR analysis. The analysis accomplished of the hepatic cDNA library and its information added to genetic and genomic resources could be sufficiently valuable specifically for aquatic toxicity studies.
为了加强毒理基因组学研究,我们构建了一个日本青鳉肝脏 cDNA 文库,以研究特定化学物质介导的应激反应。通过 cDNA 微阵列的基因表达谱分析和实时 RT-PCR 检测,筛选出 17-β雌二醇(E2)、壬基酚(NP)和 2-氯苯酚(2CP)的特定生物标志物。在 GenBank 和 dbEST 上添加了 1509 条高质量 EST 的信息,包括 260 条新的 EST。EST 被聚类并组装成 159 个 contigs 和 372 个 singletons。其中,128 个 contigs 和 163 个 singletons(54.8%)具有功能特征,13 个 UniESTs(2.5%)为假定蛋白。通过本体论分析,有 282 个 UniESTs 与 2102 个 GO 和 93 个序列与 116 个酶码相关联。对于每种测试化学物质,从微阵列的基因表达谱中选择了两个特定的生物标志物。实时 PCR 分析中标记基因的表达模式与微阵列中调控基因的表达模式一致。实时 RT-PCR 分析中,试探性生物标志物的表达模式取决于化学浓度和暴露时间。肝脏 cDNA 文库的分析和其遗传和基因组资源信息的添加,对于水生毒性研究具有特殊的价值。