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Iskar, M.* ; Zeller, G.* ; Blattmann, P.* ; Campillos, M. ; Kuhn, M.* ; Kaminska, K.H.* ; Runz, H.* ; Gavin, A.C.* ; Pepperkok, R.* ; van Noort, V.* ; Bork, P.*

Characterization of drug-induced transcriptional modules: Towards drug repositioning and functional understanding.

Mol. Syst. Biol. 9:662 (2013)
Publ. Version/Full Text Volltext DOI PMC
Open Access Gold
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In pharmacology, it is crucial to understand the complex biological responses that drugs elicit in the human organism and how well they can be inferred from model organisms. We therefore identified a large set of drug-induced transcriptional modules from genome-wide microarray data of drug-treated human cell lines and rat liver, and first characterized their conservation. Over 70% of these modules were common for multiple cell lines and 15% were conserved between the human in vitro and the rat in vivo system. We then illustrate the utility of conserved and cell-type-specific drug-induced modules by predicting and experimentally validating (i) gene functions, e.g., 10 novel regulators of cellular cholesterol homeostasis and (ii) new mechanisms of action for existing drugs, thereby providing a starting point for drug repositioning, e.g., novel cell cycle inhibitors and new modulators of α-adrenergic receptor, peroxisome proliferator-activated receptor and estrogen receptor. Taken together, the identified modules reveal the conservation of transcriptional responses towards drugs across cell types and organisms, and improve our understanding of both the molecular basis of drug action and human biology.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords cell line models in drug discovery; drug-induced transcriptional modules; drug repositioning; gene function prediction; transcriptome conservation across cell types and organisms; Gene-expression Data ; Large-scale Prediction ; Development Kit Cdk ; Source Java Library ; Connectivity Map ; Cell-line ; Antioxidant Flavonoids ; Endoplasmic-reticulum ; Integrative Analysis ; Human-disease
ISSN (print) / ISBN 1744-4292
e-ISSN 1744-4292
Journal Molecular Systems Biology
Quellenangaben Volume: 9, Issue: , Pages: , Article Number: 662 Supplement: ,
Publisher EMBO Press
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Bioinformatics and Systems Biology (IBIS)