General information of database
|Toxicogenomics Informatics Project|
National Institute of Biomedical Innovation
7-6-8, Saito-asagi, Ibaraki-city, Osaka 567-0085, Japan
|Toxicogenomics Project (TGP) is a government-private companies collaborative project started by the National Institute of Biomedical, the National Institute of Health Sciences, and 15 pharmaceutical companies in 2002. After 5 years of the project, 150 chemicals were administered to rats or exposed to rat and human primary cultured hepatocytes, and the gene expression profiles in the liver and kidney of the animal or in the cultured cells were comprehensively analyzed by microarray. As a result, a high-quality large-scale toxicogenomics database with the systems to analyze the gene expression data and predict the safety of candidate chemicals has been developed (TG-GATEs: Toxicogenomics Project-Genomics Assisted Toxicity Evaluation system）.|
Toxicogenomics Informatics Project (TGP2) is TGP's succeeding project, started by the National Institute of Biomedical, the National Institute of Health Sciences, and 13 pharmaceutical companies in 2007. After 5 years of the project, more than 30 safety biomarkers were develped by using TG-GATEs. In addition, data acquired to test biomarkers and analyse their mechanisms are included in TG-GATEs.
Open TG-GATEs is a toxicogenomics database open to the public for researchers to utilize research results of TGP and TGP2, and releases the data of 170 compounds stored in TG-GATEs. In Open TG-GATEs, it is possible to search toxicogenomics data by compound name or pathological finding. It is also possible to download gene expression data associated with phenotype data such as pathological findings as a CEL file.
CEL is one of the file formats that expresses gene expression data (raw data) generated from Affymetrix GeneChip®.
|Searching toxicogenomics data by compound name or pathological finding.|
Downloading gene expression data associated with phenotype data such as pathological findings as a CEL file.
Original website information
|Toxicogenomics Informatics Project, National Institute of Biomedical Innovation|