Biased hosting of intronic microRNA genes

David Golan; Carmit Levy; Brad Friedman; Noam Shomron

doi:10.1093/bioinformatics/btq077

Biased hosting of intronic microRNA genes

David Golan, Carmit Levy, Brad Friedman, Noam Shomron^*

^*Corresponding author for this work

Cell and Developmental Biology

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Motivation: MicroRNAs (miRNAs) are involved in an abundant class of post-transcriptional regulation activated through binding to the 3'-untranslated region (UTR) of mRNAs. The current wealth of mammalian miRNA genes results mostly from genomic duplication events. Many of these events are located within introns of transcriptional units. In order to better understand the genomic expansion of miRNA genes, we investigated the distribution of intronic miRNAs. Results: We observe that miRNA genes are hosted within introns of short genes much larger than expected by chance. Implementation: We explore several explanations for this phenomenon and conclude that miRNA integration into short genes might be evolutionary favorable due to interaction with the pre-mRNA splicing mechanism. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.

Original language	English
Article number	btq077
Pages (from-to)	992-995
Number of pages	4
Journal	Bioinformatics
Volume	26
Issue number	8
DOIs	https://doi.org/10.1093/bioinformatics/btq077
State	Published - 24 Feb 2010

Funding

Funders	Funder number
Kurz-Lion Foundation
Chief Scientist Office
Tel Aviv University
Ministry of Health, State of Israel	3-4876

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10.1093/bioinformatics/btq077

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title = "Biased hosting of intronic microRNA genes",

abstract = "Motivation: MicroRNAs (miRNAs) are involved in an abundant class of post-transcriptional regulation activated through binding to the 3'-untranslated region (UTR) of mRNAs. The current wealth of mammalian miRNA genes results mostly from genomic duplication events. Many of these events are located within introns of transcriptional units. In order to better understand the genomic expansion of miRNA genes, we investigated the distribution of intronic miRNAs. Results: We observe that miRNA genes are hosted within introns of short genes much larger than expected by chance. Implementation: We explore several explanations for this phenomenon and conclude that miRNA integration into short genes might be evolutionary favorable due to interaction with the pre-mRNA splicing mechanism. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.",

author = "David Golan and Carmit Levy and Brad Friedman and Noam Shomron",

note = "Funding Information: Funding: Work in the NS laboratory is supported by the Chief Scientist Office, Ministry of Health, Israel [3-4876]; Kurz-Lion Foundation; Ori Levi Foundation for Mitochondrial research; Tel Aviv University, Sackler Faculty of Medicine, Schreiber Fellowship.",

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doi = "10.1093/bioinformatics/btq077",

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AU - Golan, David

AU - Levy, Carmit

AU - Friedman, Brad

AU - Shomron, Noam

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PY - 2010/2/24

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N2 - Motivation: MicroRNAs (miRNAs) are involved in an abundant class of post-transcriptional regulation activated through binding to the 3'-untranslated region (UTR) of mRNAs. The current wealth of mammalian miRNA genes results mostly from genomic duplication events. Many of these events are located within introns of transcriptional units. In order to better understand the genomic expansion of miRNA genes, we investigated the distribution of intronic miRNAs. Results: We observe that miRNA genes are hosted within introns of short genes much larger than expected by chance. Implementation: We explore several explanations for this phenomenon and conclude that miRNA integration into short genes might be evolutionary favorable due to interaction with the pre-mRNA splicing mechanism. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.

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Biased hosting of intronic microRNA genes

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