Toxicological sciences : an official journal of the Society of Toxicology · 2005
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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Fostel Jennifer, Choi Danielle, Zwickl Craig, Morrison Norman, Rashid Asif, Hasan Atif, Bao Wenjun, Richard Ann, Tong Weida, Bushel Pierre R, Brown Roger, Bruno Maribel, Cunningham Michael L, Dix David, Eastin William, Frade Carlos, Garcia Alex, Heinloth Alexandra, Irwin Rick, Madenspacher Jennifer, Merrick B Alex, Papoian Thomas, Paules Richard, Rocca-Serra Philippe, Sansone Assunta-Susanna, Stevens James, Tomer Kenneth, Yang Chihae, Waters Michael
Аннотация
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 observed in 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).