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首页> 外文期刊>Toxicological sciences: An official journal of the Society of Toxicology >Chemical effects in biological systems--data dictionary (CEBS-DD): a compendium of terms for the capture and integration of biological study design description, conventional phenotypes, and 'omics data.
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Chemical effects in biological systems--data dictionary (CEBS-DD): a compendium of terms for the capture and integration of biological study design description, conventional phenotypes, and 'omics data.

机译：生物系统中的化学作用-数据字典（CEBS-DD）：用于生物学研究设计说明，常规表型和'组学数据的捕获和整合的术语汇编。

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摘要

A critical component in the design of the Chemical Effects in Biological Systems (CEBS) Knowledgebase is a strategy to capture toxicogenomics study protocols and the toxicity endpoint data (clinical pathology and histopathology). A Study is generally an experiment carried out during a period of time for the purpose of obtaining data, and the Study Design Description captures the methods, timing, and organization of the Study. The CEBS Data Dictionary (CEBS-DD) has been designed to define and organize terms in an attempt to standardize nomenclature needed to describe a toxicogenomics Study in a structured yet intuitive format and provide a flexible means to describe a Study as conceptualized by the investigator. The CEBS-DD will organize and annotate information from a variety of sources, thereby facilitating the capture and display of toxicogenomics data in biological context in CEBS, i.e., associating molecular events detected in highly-parallel data with the toxicology/pathology phenotype as observedin the individual Study Subjects and linked to the experimental treatments. The CEBS-DD has been developed with a focus on acute toxicity studies, but with a design that will permit it to be extended to other areas of toxicology and biology with the addition of domain-specific terms. To illustrate the utility of the CEBS-DD, we present an example of integrating data from two proteomics and transcriptomics studies of the response to acute acetaminophen toxicity (A. N. Heinloth et al., 2004, Toxicol. Sci. 80, 193-202).
机译：生物系统化学效应（CEBS）知识库设计中的关键组成部分是捕获毒物组学研究方案和毒性终点数据（临床病理和组织病理学）的策略。研究通常是在一段时间内为了获取数据而进行的实验，研究设计说明捕获研究的方法，时间和组织。 CEBS数据字典（CEBS-DD）旨在定义和组织术语，以试图以结构化但直观的格式标准化描述毒物组学研究所需的术语，并提供灵活的手段来描述研究者所概念化的研究。 CEBS-DD将组织和注释来自各种来源的信息，从而促进在CEBS生物学背景下捕获和显示毒理基因组学数据，即，将在高度平行的数据中检测到的分子事件与在实验室中观察到的毒理学/病理学表型相关联。个别研究对象，并与实验方法相关联。 CEBS-DD的开发侧重于急性毒性研究，但其设计使其可以通过添加特定领域的术语将其扩展到毒理学和生物学的其他领域。为了说明CEBS-DD的效用，我们提供了一个示例，该示例集成了来自对急性对乙酰氨基酚毒性反应的两项蛋白质组学和转录组学研究的数据（A. N. Heinloth等人，2004，Toxicol。Sci。80，193-202）。

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