4.8 Article

Open TG-GATEs: a large-scale toxicogenomics database

Journal

NUCLEIC ACIDS RESEARCH
Volume 43, Issue D1, Pages D921-D927

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gku955

Keywords

-

Funding

  1. Construction of Drug Safety Prediction System byToxicogenomics Technology and Related Basic Research [H14-Toxico-001]
  2. Drug Safety Assessment Based on Toxicity Mechanisms using Toxicogenomics Database [H19-Toxico-001]
  3. Health and Labour Sciences Research Grant, Japanese Ministry of Health, Labour and Welfare [H25-souyaku-008, H24-souyaku_sougou-010, H25-jitsuyouka_saisei-016, H25-Jitsuyouka(saisei)-016]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available