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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)
Verlagsversion Volltext DOI PMC
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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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter 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
Sprache englisch
Veröffentlichungsjahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 1744-4292
e-ISSN 1744-4292
Zeitschrift Molecular Systems Biology
Quellenangaben Band: 9, Heft: , Seiten: , Artikelnummer: 662 Supplement: ,
Verlag EMBO Press
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-551700-002
PubMed ID 23632384
DOI 10.1038/msb.2013.20
WOS ID WOS:000318693000010
Erfassungsdatum 2013-05-02
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