Literature DB >> 16150882

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.

Jennifer Fostel1, Danielle Choi, Craig Zwickl, Norman Morrison, Asif Rashid, Atif Hasan, Wenjun Bao, Ann Richard, Weida Tong, Pierre R Bushel, Roger Brown, Maribel Bruno, Michael L Cunningham, David Dix, William Eastin, Carlos Frade, Alex Garcia, Alexandra Heinloth, Rick Irwin, Jennifer Madenspacher, B Alex Merrick, Thomas Papoian, Richard Paules, Philippe Rocca-Serra, Assunta-Susanna Sansone, James Stevens, Kenneth Tomer, Chihae Yang, Michael Waters.   

Abstract

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).

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16150882     DOI: 10.1093/toxsci/kfi315

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  6 in total

Review 1.  The evolution of bioinformatics in toxicology: advancing toxicogenomics.

Authors:  Cynthia A Afshari; Hisham K Hamadeh; Pierre R Bushel
Journal:  Toxicol Sci       Date:  2010-12-22       Impact factor: 4.849

Review 2.  The role of toxicoproteomics in assessing organ specific toxicity.

Authors:  B Alex Merrick; Frank A Witzmann
Journal:  EXS       Date:  2009

3.  Standard reporting requirements for biological samples in metabolomics experiments: microbial and in vitro biology experiments.

Authors:  Mariët J van der Werf; Ralf Takors; Jørn Smedsgaard; Jens Nielsen; Tom Ferenci; Jean Charles Portais; Christoph Wittmann; Mark Hooks; Alberta Tomassini; Marco Oldiges; Jennifer Fostel; Uwe Sauer
Journal:  Metabolomics       Date:  2007-08-20       Impact factor: 4.290

4.  Workshop report: Identifying opportunities for global integration of toxicogenomics databases, 26-27 June 2013, Research Triangle Park, NC, USA.

Authors:  Diana M Hendrickx; Rebecca R Boyles; Jos C S Kleinjans; Allen Dearry
Journal:  Arch Toxicol       Date:  2014-10-19       Impact factor: 5.153

5.  CEBS: a comprehensive annotated database of toxicological data.

Authors:  Isabel A Lea; Hui Gong; Anand Paleja; Asif Rashid; Jennifer Fostel
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

6.  CEBS--Chemical Effects in Biological Systems: a public data repository integrating study design and toxicity data with microarray and proteomics data.

Authors:  Michael Waters; Stanley Stasiewicz; B Alex Merrick; Kenneth Tomer; Pierre Bushel; Richard Paules; Nancy Stegman; Gerald Nehls; Kenneth J Yost; C Harris Johnson; Scott F Gustafson; Sandhya Xirasagar; Nianqing Xiao; Cheng-Cheng Huang; Paul Boyer; Denny D Chan; Qinyan Pan; Hui Gong; John Taylor; Danielle Choi; Asif Rashid; Ayazaddin Ahmed; Reese Howle; James Selkirk; Raymond Tennant; Jennifer Fostel
Journal:  Nucleic Acids Res       Date:  2007-10-25       Impact factor: 16.971

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.