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Nucleic Acids Research Advance Access published online on October 22, 2009
Nucleic Acids Research, doi:10.1093/nar/gkp888
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© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Database Issue

miRGen 2.0: a database of microRNA genomic information and regulation

Panagiotis Alexiou1,2,*, Thanasis Vergoulis3,4, Martin Gleditzsch5, George Prekas4, Theodore Dalamagas3, Molly Megraw6, Ivo Grosse5, Timos Sellis3,4 and Artemis G. Hatzigeorgiou1,*

1Institute of Molecular Oncology, Biomedical Sciences Research Center ‘Alexander Fleming’, Vari, 2School of Biology, Aristotle University of Thessaloniki, Thessaloniki, 3Institute for the Management of Information Systems, "Athena" Research Center, 4Knowledge and Database Systems Lab, Department of Computer Science, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece, 5Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle, Germany, 6Institute for Genome Sciences and Policy, Duke University, Durham, NC and 7Computer and Information Sciences, University of Pennsylvania, Philadelphia, PA, USA

*To whom correspondence should be addressed. Tel: +30 210 9656310 (int. 248); Email: pan.alexiou{at}fleming.gr

Correspondence may also be addressed to Artemis G. Hatzigeorgiou. Tel: +30 210 9656310 (int. 190); Fax: +30 210 9653934; Email: hatzigeorgiou{at}fleming.gr

Received September 15, 2009. Accepted October 4, 2009.

MicroRNAs are small, non-protein coding RNA molecules known to regulate the expression of genes by binding to the 3'UTR region of mRNAs. MicroRNAs are produced from longer transcripts which can code for more than one mature miRNAs. miRGen 2.0 is a database that aims to provide comprehensive information about the position of human and mouse microRNA coding transcripts and their regulation by transcription factors, including a unique compilation of both predicted and experimentally supported data. Expression profiles of microRNAs in several tissues and cell lines, single nucleotide polymorphism locations, microRNA target prediction on protein coding genes and mapping of miRNA targets of co-regulated miRNAs on biological pathways are also integrated into the database and user interface. The miRGen database will be continuously maintained and freely available at http://diana.cslab.ece.ntua.gr/miRGen/.


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