Toxygates: interactive toxicity analysis on a hybrid microarray and linked data platform | Zendy

Johan Nyström-Persson | Zendy; Yoshinobu Igarashi | Zendy; Maori Ito | Zendy; Mizuki Morita | Zendy; Noriyuki Nakatsu | Zendy; Hiroshi Yamada | Zendy; Kenji Mizuguchi | Zendy

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Toxygates: interactive toxicity analysis on a hybrid microarray and linked data platform

Author(s) -

Johan Nyström-Persson,

Yoshinobu Igarashi,

Maori Ito,

Mizuki Morita,

Noriyuki Nakatsu,

Hiroshi Yamada,

Kenji Mizuguchi

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt531

Subject(s) - toxicogenomics , computer science , ranking (information retrieval) , transcriptome , microarray analysis techniques , computational biology , bioinformatics , data mining , information retrieval , biology , gene , gene expression , biochemistry

In early stage drug development, it is desirable to assess the toxicity of compounds as quickly as possible. Biomarker genes can help predict whether a candidate drug will adversely affect a given individual, but they are often difficult to discover. In addition, the mechanism of toxicity of many drugs and common compounds is not yet well understood. The Japanese Toxicogenomics Project provides a large database of systematically collected microarray samples from rats (liver, kidney and primary hepatocytes) and human cells (primary hepatocytes) after exposure to 170 different compounds in different dosages and at different time intervals. However, until now, no intuitive user interface has been publically available, making it time consuming and difficult for individual researchers to explore the data.

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