Science Inventory

CONCEPTUAL FRAMEWORK FOR THE CHEMICAL EFFECTS IN BIOLOGICAL SYSTEMS (CEBS) TOXICOGENOMICS KNOWLEDGE BASE

Citation:

Waters, M D., C. Afshari, R. Amin, G. A. Boorman, P. Bushel, M. Cunningham, H. Hamadeh, R. M. Irwin, L. Li, A. Merrick, C. Miller, R. S. Paules, J. Selkirk, AND R. Tennant. CONCEPTUAL FRAMEWORK FOR THE CHEMICAL EFFECTS IN BIOLOGICAL SYSTEMS (CEBS) TOXICOGENOMICS KNOWLEDGE BASE. Presented at AAAS-MGED IV, Boston, MA, 2/13-16/02.

Description:

Conceptual Framework for the Chemical Effects in Biological Systems (CEBS) T oxicogenomics Knowledge Base

Abstract
Toxicogenomics studies how the genome is involved in responses to environmental stressors or toxicants. It combines genetics, genome-scale mRNA expression, cell and tissue-wide protein expression, and bioinformatics to understand the gene-environment interactions in disease. CEBS is planned as the first public toxicogenomics database combining datasets from genomics, proteomics, metabonomics and toxicology with pathway and network information relevant to environmental exposures and human disease. Standardized procedures, protocols, data formats and assessment tools will be used to assemble high quality datasets to support the design heir entirety. Dictionaries and metadata will introduce and guide interpretation of cogenomics datasets. CEBS will create the capability to assess the global genomic responses of biological systems to environmental stressors and to relationally link genomic data to effects data as a function of dose, time, and target cell/tissue type. CEBS will access other toxicology,
biochemical pathway, genomics/proteomics resources and databases to provide information and documentation for toxicogenomics and molecular biology. It will develop relational and descriptive compendia on toxicologically important genes, groups of genes, SNPs, mutants and their functional phenotypes that are relevant to human health and environmental disease. It will enable query by compound/ structure/class, toxic/pathologic effects, gene annotation, gene
groups, pathways and networks. CEBS will ultimately become a knowledge base to support hypothesis-driven research.

This is a proposed presentation and does not necessarily reflect EPA or NIEHS policy.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ ABSTRACT)
Product Published Date:02/15/2002
Record Last Revised:06/06/2005
Record ID: 61956