Open TG-GATEs: a large-scale toxicogenomics database
Toxicogenomics focuses on assessing the safety of compounds using gene expression profiles. Gene expression signatures from large toxicogenomics databases are expected to perform better than small databases in identifying biomarkers for the prediction and evaluation of drug safety based on a compoun...
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| Veröffentlicht in: | Nucleic acids research 2015-01, Vol.43 (Database issue), p.D921-D927 |
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| container_end_page | D927 |
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| container_issue | Database issue |
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| container_title | Nucleic acids research |
| container_volume | 43 |
| creator | Igarashi, Yoshinobu Nakatsu, Noriyuki Yamashita, Tomoya Ono, Atsushi Ohno, Yasuo Urushidani, Tetsuro Yamada, Hiroshi |
| description | Toxicogenomics focuses on assessing the safety of compounds using gene expression profiles. Gene expression signatures from large toxicogenomics databases are expected to perform better than small databases in identifying biomarkers for the prediction and evaluation of drug safety based on a compound's toxicological mechanisms in animal target organs. Over the past 10 years, the Japanese Toxicogenomics Project consortium (TGP) has been developing a large-scale toxicogenomics database consisting of data from 170 compounds (mostly drugs) with the aim of improving and enhancing drug safety assessment. Most of the data generated by the project (e.g. gene expression, pathology, lot number) are freely available to the public via Open TG-GATEs (Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System). Here, we provide a comprehensive overview of the database, including both gene expression data and metadata, with a description of experimental conditions and procedures used to generate the database. Open TG-GATEs is available from http://toxico.nibio.go.jp/english/index.html. |
| doi_str_mv | 10.1093/nar/gku955 |
| format | Article |
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Gene expression signatures from large toxicogenomics databases are expected to perform better than small databases in identifying biomarkers for the prediction and evaluation of drug safety based on a compound's toxicological mechanisms in animal target organs. Over the past 10 years, the Japanese Toxicogenomics Project consortium (TGP) has been developing a large-scale toxicogenomics database consisting of data from 170 compounds (mostly drugs) with the aim of improving and enhancing drug safety assessment. Most of the data generated by the project (e.g. gene expression, pathology, lot number) are freely available to the public via Open TG-GATEs (Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System). Here, we provide a comprehensive overview of the database, including both gene expression data and metadata, with a description of experimental conditions and procedures used to generate the database. 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| ispartof | Nucleic acids research, 2015-01, Vol.43 (Database issue), p.D921-D927 |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Oxford Journals Open Access Collection; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Animals Biomarkers - metabolism Database Issue Databases, Genetic Genomics Humans Internet Kidney - drug effects Kidney - metabolism Kidney - pathology Liver - drug effects Liver - metabolism Liver - pathology Male Rats Rats, Sprague-Dawley Toxicogenetics Transcriptome - drug effects |
| title | Open TG-GATEs: a large-scale toxicogenomics database |
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