Literature DB >> 21953484

A wide repertoire of miRNA binding sites: prediction and functional implications.

Naama Elefant1, Yael Altuvia, Hanah Margalit.   

Abstract

MOTIVATION: Over the past decade, deciphering the roles of microRNAs (miRNAs) has relied heavily upon the identification of their targets. Most of the targets that were computationally and experimentally characterized were evolutionarily conserved 'seed' targets, containing a perfect 6-8 nt match between the miRNA 5(')-region and the messenger RNA (mRNA). Gradually, it has become evident that other types of miRNA binding can confer target regulation, but their characterization has been lagging behind.
RESULTS: Here, we complement the putative evolutionarily-conserved seed-containing targets by a wide repertoire of putative targets exhibiting a variety of miRNA binding patterns, predicted by our algorithm RepTar. These include non-conserved sites, 'seed' binding sites with G:U-wobbles within the seed, '3(') compensatory' sites and 'centered' sites. Apart from the centered sites, we demonstrate the functionality of these sites and characterize the target profile of a miRNA by the types of binding sites predicted in its target 3(') UTRs. We find that different miRNAs have individual target profiles, with some more inclined to seed binding and others more inclined to binding through 3(') compensatory sites. This diversity in targeting patterns is also evident within several miRNA families (defined by common seed sequences), leading to divergence in the target sets of members of the same family. The prediction of non-conventional miRNA targets is also beneficial in the search for targets of the non-conserved viral miRNAs. Analyzing the cellular targets of viral miRNAs, we show that viral miRNAs use various binding patterns to exploit cellular miRNA binding sites and suggest roles for these targets in virus-host interactions.

Mesh:

Substances:

Year:  2011        PMID: 21953484     DOI: 10.1093/bioinformatics/btr534

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers.

Authors:  Eunjee Lee; Koichi Ito; Yong Zhao; Eric E Schadt; Hanna Y Irie; Jun Zhu
Journal:  Bioinformatics       Date:  2015-09-10       Impact factor: 6.937

2.  Aryl hydrocarbon receptor-mediated induction of the microRNA-132/212 cluster promotes interleukin-17-producing T-helper cell differentiation.

Authors:  Taisuke Nakahama; Hamza Hanieh; Nam Trung Nguyen; Ichino Chinen; Barry Ripley; David Millrine; Soyoung Lee; Kishan Kumar Nyati; Praveen Kumar Dubey; Kamal Chowdhury; Yukio Kawahara; Tadamitsu Kishimoto
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-01       Impact factor: 11.205

3.  Mapping the human miRNA interactome by CLASH reveals frequent noncanonical binding.

Authors:  Aleksandra Helwak; Grzegorz Kudla; Tatiana Dudnakova; David Tollervey
Journal:  Cell       Date:  2013-04-25       Impact factor: 41.582

4.  ROD1 is a seedless target gene of hypoxia-induced miR-210.

Authors:  Pasquale Fasanaro; Sveva Romani; Christine Voellenkle; Biagina Maimone; Maurizio C Capogrossi; Fabio Martelli
Journal:  PLoS One       Date:  2012-09-14       Impact factor: 3.240

5.  Genetic variant rs3750625 in the 3'UTR of ADRA2A affects stress-dependent acute pain severity after trauma and alters a microRNA-34a regulatory site.

Authors:  Sarah D Linnstaedt; Margaret G Walker; Kyle D Riker; Jennifer E Nyland; JunMei Hu; Catherine Rossi; Robert A Swor; Jeffrey S Jones; Luda Diatchenko; Andrey V Bortsov; David A Peak; Samuel A McLean
Journal:  Pain       Date:  2017-02       Impact factor: 7.926

6.  A least angle regression model for the prediction of canonical and non-canonical miRNA-mRNA interactions.

Authors:  Julia C Engelmann; Rainer Spang
Journal:  PLoS One       Date:  2012-07-17       Impact factor: 3.240

7.  Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks.

Authors:  Hua-Sheng Chiu; David Llobet-Navas; Xuerui Yang; Wei-Jen Chung; Alberto Ambesi-Impiombato; Archana Iyer; Hyunjae Ryan Kim; Elena G Seviour; Zijun Luo; Vasudha Sehgal; Tyler Moss; Yiling Lu; Prahlad Ram; José Silva; Gordon B Mills; Andrea Califano; Pavel Sumazin
Journal:  Genome Res       Date:  2014-11-05       Impact factor: 9.043

8.  Developing microRNA screening as a functional genomics tool for disease research.

Authors:  Derek Lemons; Mano R Maurya; Shankar Subramaniam; Mark Mercola
Journal:  Front Physiol       Date:  2013-08-27       Impact factor: 4.566

Review 9.  Oxidative stress and microRNAs in vascular diseases.

Authors:  Alessandra Magenta; Simona Greco; Carlo Gaetano; Fabio Martelli
Journal:  Int J Mol Sci       Date:  2013-08-22       Impact factor: 5.923

10.  Binding sites of miR-1273 family on the mRNA of target genes.

Authors:  Anatoly Ivashchenko; Olga Berillo; Anna Pyrkova; Raigul Niyazova
Journal:  Biomed Res Int       Date:  2014-08-26       Impact factor: 3.411

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