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  Evaluation of database-derived pathway development for enabling biomarker discovery for hepatotoxicity

Hebels, D. G. A., Jetten, M. J. A., Aerts, H. J. W., Herwig, R., Theunissen, D. H. J., Gaj, S., et al. (2014). Evaluation of database-derived pathway development for enabling biomarker discovery for hepatotoxicity. Biomarkers in Medicine, 8(2), 185-200. doi:10.2217/bmm.13.154.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0026-B04F-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0026-B050-C
Genre: Journal Article

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 Creators:
Hebels, Dennie G. A. , Author
Jetten, Marlon J. A. , Author
Aerts, Hugo J. W. , Author
Herwig, Ralf1, Author              
Theunissen, Daniël H. J. , Author
Gaj, Stan, Author
van Delft, Joost H. , Author
Kleinjans, Jos C. S. , Author
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1Bioinformatics (Ralf Herwig), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479648              

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 Abstract: Current testing models for predicting drug-induced liver injury are inadequate, as they basically under-report human health risks. We present here an approach towards developing pathways based on hepatotoxicity-associated gene groups derived from two types of publicly accessible hepatotoxicity databases, in order to develop drug-induced liver injury biomarker profiles. One human liver 'omics-based and four text-mining-based databases were explored for hepatotoxicity-associated gene lists. Over-representation analysis of these gene lists with a hepatotoxicant-exposed primary human hepatocytes data set showed that human liver 'omics gene lists performed better than text-mining gene lists and the results of the latter differed strongly between databases. However, both types of databases contained gene lists demonstrating biomarker potential. Visualizing those in pathway format may aid in interpreting the biomolecular background. We conclude that exploiting existing and openly accessible databases in a dedicated manner seems promising in providing venues for translational research in toxicology and biomarker development.

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Language(s): eng - English
 Dates: 2014-02-01
 Publication Status: Published online
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.2217/bmm.13.154
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Title: Biomarkers in Medicine
Source Genre: Journal
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Publ. Info: London : Future Medicine Ltd
Pages: - Volume / Issue: 8 (2) Sequence Number: - Start / End Page: 185 - 200 Identifier: -