Literature DB >> 20118632

Profiles of Chemical Effects on Cells (pCEC): a toxicogenomics database with a toxicoinformatics system for risk evaluation and toxicity prediction of environmental chemicals.

Hideko Sone1, Masahiro Okura, Hiroko Zaha, Wataru Fujibuchi, Takeaki Taniguchi, Hiromi Akanuma, Reiko Nagano, Seiichiro Ohsako, Junzo Yonemoto.   

Abstract

Profiles of Chemical Effects on Cells (pCEC) is a toxicogenomics database with a system of classifying chemicals that have effects on human health. This database stores and handles gene expression profiling information and categories of toxicity data. Chemicals are classified according to the specific tissues and cells they affect, the gene expression changes they induce, their toxicity and biological functions in this database system. The pCEC system also analyzes relationships between chemicals and the genes they affect in specific tissues and cells. The reason why we developed pCEC is to support decision-making within the context of environmental regulation. Especially, exposure to environmental chemicals during fetal and newborn development may result in a predisposition to various disorders such as cancer, learning disabilities and allergies later in life. The identification and prediction of hazardous chemicals using limited information are important issues in human health risk management. Therefore, various toxicity information including lethal dose 50 (LD50), toxicity pathways and pathological data were loaded into pCEC. pCEC is also a facility for query, analysis and prediction of unknown toxicochemical reaction pathways and biomarkers which are based on toxicoinformatical data mining approaches. This database is available online at http://project.nies.go.jp/eCA/cgi-bin/index.cgi. The current version of the database has information on the hepatotoxicity, reproductive toxicity and embryotoxicity of chemicals.

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Year:  2010        PMID: 20118632     DOI: 10.2131/jts.35.115

Source DB:  PubMed          Journal:  J Toxicol Sci        ISSN: 0388-1350            Impact factor:   2.196


  2 in total

Review 1.  The role of molecular biology in the biomonitoring of human exposure to chemicals.

Authors:  Balam Muñoz; Arnulfo Albores
Journal:  Int J Mol Sci       Date:  2010-11-12       Impact factor: 5.923

2.  Multi-parametric profiling network based on gene expression and phenotype data: a novel approach to developmental neurotoxicity testing.

Authors:  Reiko Nagano; Hiromi Akanuma; Xian-Yang Qin; Satoshi Imanishi; Hiroyoshi Toyoshiba; Jun Yoshinaga; Seiichiroh Ohsako; Hideko Sone
Journal:  Int J Mol Sci       Date:  2011-12-23       Impact factor: 5.923

  2 in total

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