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PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes

Andreas Ruepp1*, Andreas Kowarsch1, Daniel Schmidl12, Felix Buggenthin1, Barbara Brauner1, Irmtraud Dunger1, Gisela Fobo1, Goar Frishman1, Corinna Montrone1 and Fabian J Theis12*

Author affiliations

1 Institute for Bioinformatics and Systems Biology (MIPS), Helmholtz Center Munich - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, D-85764 Neuherberg, Germany

2 Department of Mathematics, University of Technology Munich, Boltzmannstraße 3, D-85747 Garching, Germany

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Citation and License

Genome Biology 2010, 11:R6  doi:10.1186/gb-2010-11-1-r6

Published: 20 January 2010

Abstract

In recent years, microRNAs have been shown to play important roles in physiological as well as malignant processes. The PhenomiR database http://mips.helmholtz-muenchen.de/phenomir webcite provides data from 542 studies that investigate deregulation of microRNA expression in diseases and biological processes as a systematic, manually curated resource. Using the PhenomiR dataset, we could demonstrate that, depending on disease type, independent information from cell culture studies contrasts with conclusions drawn from patient studies.