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  PROmiRNA: a new miRNA promoter recognition method uncovers the complex regulation of intronic miRNAs

Marsico, A., Huska, M., Lasserre, J., Hu, H., Vucicevic, D., Musahl, A., et al. (2013). PROmiRNA: a new miRNA promoter recognition method uncovers the complex regulation of intronic miRNAs. Genome Biology, 14(8), R84-R84. doi:10.1186/gb-2013-14-8-r84.

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© 2013 Marsico et al
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 Urheber:
Marsico, Annalisa1, Autor           
Huska, Matthew2, Autor           
Lasserre, Julia1, Autor           
Hu, Haiyang3, Autor
Vucicevic, Dubravka4, Autor           
Musahl, Anne4, Autor           
Ørom, Ulf Andersson4, Autor           
Vingron, Martin5, Autor           
Affiliations:
1Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, Ihnestr. 73, 14195 Berlin, Germany, ou_1433547              
2IMPRS for Computational Biology and Scientific Computing - IMPRS-CBSC (Kirsten Kelleher), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, Ihnestr. 73, 14195 Berlin, Germany, ou_1479666              
3Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences , 320 Yue Yang Road, 200031 Shanghai, China, ou_persistent22              
4Long non-coding RNA (Ulf Andersson Ørom), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, Ihnestr. 73, 14195 Berlin, Germany, ou_1479659              
5Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, Ihnestr. 73, 14195 Berlin, Germany, ou_1479639              

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Schlagwörter: miRNA transcriptional regulation, deepCAGE, mixture model
 Zusammenfassung: The regulation of intragenic miRNAs by their own intronic promoters is one of the open problems of miRNA biogenesis. Here, we describe PROmiRNA, a new approach for miRNA promoter annotation based on a semi-supervised statistical model trained on deepCAGE data and sequence features. We validate our results with existing annotation, PolII occupancy data and read coverage from RNA-seq data. Compared to previous methods PROmiRNA increases the detection rate of intronic promoters by 30%, allowing us to perform a large-scale analysis of their genomic features, as well as elucidate their contribution to tissue-specific regulation. PROmiRNA can be downloaded from http://promirna.molgen.mpg.de.

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Sprache(n): eng - English
 Datum: 2013-08-16
 Publikationsstatus: Online veröffentlicht
 Seiten: -
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 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1186/gb-2013-14-8-r84
ISSN: 1465-6914 (Electronic)1465-6906 (Print)
 Art des Abschluß: -

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Titel: Genome Biology
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: London : BioMed Central Ltd.
Seiten: - Band / Heft: 14 (8) Artikelnummer: - Start- / Endseite: R84 - R84 Identifikator: ISSN: 1465-6906
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000224390_1