Burgoon Lyle D
Toxicogenomic Informatics and Solutions, LLC, P.O. Box 27482, Lansing, Michigan 48909, USA.
Toxicol Sci. 2007 Oct;99(2):403-12. doi: 10.1093/toxsci/kfm108. Epub 2007 May 5.
The emergence of the microarray data standards, especially the Minimum Information About a Microarray Experiment (MIAME), has spurred several organizations to develop their own standards for a myriad of technologies, including proteomics and metabolomics. These efforts have facilitated the creation of several large-scale gene expression repositories, including the toxicology-focused Chemical Effects in Biological Systems Knowledgebase at the National Institute of Environmental Health Sciences. Recently, efforts have been moved toward developing toxicogenomic data standards (e.g., MIAME-Tox), and the U.S. Food and Drug Administration and the U.S. Environmental Protection Agency either have developed or are developing regulatory guidance with respect to pharmaco- and toxicogenomics. However, for the toxicology community to be engaged in the process of standards development and approval, there needs to be a more thorough understanding of the terms associated with electronic data sharing and communication, especially with respect to defining the terms "standard," "controlled vocabulary," "object model," "markup language," and "ontology." This review will discuss these terms, especially as they pertain to toxicogenomics, how they relate to one-another, and what current efforts exist that may impact toxicology.
微阵列数据标准的出现，尤其是微阵列实验最小信息规范（MIAME），促使多个组织针对包括蛋白质组学和代谢组学在内的众多技术制定各自的标准。这些努力推动了几个大规模基因表达数据库的建立，包括美国国立环境卫生科学研究所专注于毒理学的生物系统化学效应知识库。最近，工作已转向制定毒理基因组学数据标准（如MIAME-Tox），并且美国食品药品监督管理局和美国环境保护局已经或正在制定关于药物基因组学和毒理基因组学的监管指南。然而，为了让毒理学界参与到标准制定和批准过程中，需要更全面地理解与电子数据共享和通信相关的术语，特别是在定义“标准”“受控词汇表”“对象模型”“标记语言”和“本体论”这些术语方面。本综述将讨论这些术语，尤其是它们与毒理基因组学的关联、它们之间的相互关系，以及当前可能影响毒理学的相关工作。
