Literature DB >> 19850724

Sequence context outside the target region influences the effectiveness of miR-223 target sites in the RhoB 3'UTR.

Guihua Sun1, Haitang Li, John J Rossi.   

Abstract

MicroRNAs (miRNAs) are 21-22 nucleotide regulatory small RNAs that repress message translation via base-pairing with complementary sequences in the 3' untranslated region (3'UTR) of targeted transcripts. To date, it is still difficult to find a true miRNA target due to lack of a clear understanding of how miRNAs functionally interact with their targeted transcripts for efficient repression. Previous studies have shown that nucleotides 2 to 7 at the 5'-end of a mature miRNA, the 'seed sequence', can nucleate miRNA/target interactions. In the current study, we have validated that the RhoB mRNA is a bona fide miR-223 target. We have analyzed the functional activities of two miR223-binding sites within the RhoB 3'UTR. We find that the two miR-223 target sites in the RhoB 3'UTR contribute differentially to the total repression of RhoB translation. Moreover, we demonstrate that some AU-rich motifs located upstream of the distal miRNA-binding site enhance miRNA function, independent of the miRNA target sequences being tested. We also demonstrate that the AU-rich sequence elements are polar, and do not affect the activities of miRNAs whose sites lie upstream of these elements. These studies provide further support for the role of sequences outside of miRNA target region influencing miRNA function.

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Year:  2009        PMID: 19850724      PMCID: PMC2800228          DOI: 10.1093/nar/gkp870

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  65 in total

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Authors:  Maria Piqué; José Manuel López; Sylvain Foissac; Roderic Guigó; Raúl Méndez
Journal:  Cell       Date:  2008-02-08       Impact factor: 41.582

2.  SNPs in human miRNA genes affect biogenesis and function.

Authors:  Guihua Sun; Jin Yan; Katie Noltner; Jinong Feng; Haitang Li; Daniel A Sarkis; Steve S Sommer; John J Rossi
Journal:  RNA       Date:  2009-07-17       Impact factor: 4.942

3.  Most mammalian mRNAs are conserved targets of microRNAs.

Authors:  Robin C Friedman; Kyle Kai-How Farh; Christopher B Burge; David P Bartel
Journal:  Genome Res       Date:  2008-10-27       Impact factor: 9.043

4.  A PtdIns4,5P2-regulated nuclear poly(A) polymerase controls expression of select mRNAs.

Authors:  David L Mellman; Michael L Gonzales; Chunhua Song; Christy A Barlow; Ping Wang; Christina Kendziorski; Richard A Anderson
Journal:  Nature       Date:  2008-02-21       Impact factor: 49.962

5.  Mammalian miRNA RISC recruits CAF1 and PABP to affect PABP-dependent deadenylation.

Authors:  Marc R Fabian; Géraldine Mathonnet; Thomas Sundermeier; Hansruedi Mathys; Jakob T Zipprich; Yuri V Svitkin; Fabiola Rivas; Martin Jinek; James Wohlschlegel; Jennifer A Doudna; Chyi-Ying A Chen; Ann-Bin Shyu; John R Yates; Gregory J Hannon; Witold Filipowicz; Thomas F Duchaine; Nahum Sonenberg
Journal:  Mol Cell       Date:  2009-08-27       Impact factor: 17.970

6.  Molecular architecture of a miRNA-regulated 3' UTR.

Authors:  Dominic Didiano; Oliver Hobert
Journal:  RNA       Date:  2008-05-07       Impact factor: 4.942

7.  Over-represented sequences located on 3' UTRs are potentially involved in regulatory functions.

Authors:  Kihoon Yoon; Daijin Ko; Mark Doderer; Carolina B Livi; Luiz O F Penalva
Journal:  RNA Biol       Date:  2008-10-03       Impact factor: 4.652

8.  miR-24 Inhibits cell proliferation by targeting E2F2, MYC, and other cell-cycle genes via binding to "seedless" 3'UTR microRNA recognition elements.

Authors:  Ashish Lal; Francisco Navarro; Christopher A Maher; Laura E Maliszewski; Nan Yan; Elizabeth O'Day; Dipanjan Chowdhury; Derek M Dykxhoorn; Perry Tsai; Oliver Hofmann; Kevin G Becker; Myriam Gorospe; Winston Hide; Judy Lieberman
Journal:  Mol Cell       Date:  2009-09-11       Impact factor: 17.970

Review 9.  MicroRNAs: target recognition and regulatory functions.

Authors:  David P Bartel
Journal:  Cell       Date:  2009-01-23       Impact factor: 41.582

10.  Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.

Authors:  Antonio Turi; Corrado Loglisci; Eliana Salvemini; Giorgio Grillo; Donato Malerba; Domenica D'Elia
Journal:  BMC Bioinformatics       Date:  2009-06-16       Impact factor: 3.169

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  35 in total

1.  miRNA-34c regulates Notch signaling during bone development.

Authors:  Yangjin Bae; Tao Yang; Huan-Chang Zeng; Philippe M Campeau; Yuqing Chen; Terry Bertin; Brian C Dawson; Elda Munivez; Jianning Tao; Brendan H Lee
Journal:  Hum Mol Genet       Date:  2012-04-12       Impact factor: 6.150

2.  Signatures of RNA binding proteins globally coupled to effective microRNA target sites.

Authors:  Anders Jacobsen; Jiayu Wen; Debora S Marks; Anders Krogh
Journal:  Genome Res       Date:  2010-05-27       Impact factor: 9.043

3.  miR-29ab1 deficiency identifies a negative feedback loop controlling Th1 bias that is dysregulated in multiple sclerosis.

Authors:  Kristen M Smith; Mireia Guerau-de-Arellano; Stefan Costinean; Jessica L Williams; Arianna Bottoni; Gina Mavrikis Cox; Abhay R Satoskar; Carlo M Croce; Michael K Racke; Amy E Lovett-Racke; Caroline C Whitacre
Journal:  J Immunol       Date:  2012-07-06       Impact factor: 5.422

Review 4.  Functional interactions between microRNAs and RNA binding proteins.

Authors:  Peng Jiang; Hilary Coller
Journal:  Microrna       Date:  2012

Review 5.  MicroRNAs: Suggested role in pituitary adenoma pathogenesis.

Authors:  M R Gadelha; L Kasuki; J Dénes; G Trivellin; M Korbonits
Journal:  J Endocrinol Invest       Date:  2013-11       Impact factor: 4.256

6.  MicroRNAs and cancer therapeutics.

Authors:  Man Lung Yeung; Kuan-Teh Jeang
Journal:  Pharm Res       Date:  2011-07-20       Impact factor: 4.200

7.  HuR-dependent loading of miRNA RISC to the mRNA encoding the Ras-related small GTPase RhoB controls its translation during UV-induced apoptosis.

Authors:  V Glorian; G Maillot; S Polès; J S Iacovoni; G Favre; S Vagner
Journal:  Cell Death Differ       Date:  2011-04-29       Impact factor: 15.828

8.  Target mRNA abundance dilutes microRNA and siRNA activity.

Authors:  Aaron Arvey; Erik Larsson; Chris Sander; Christina S Leslie; Debora S Marks
Journal:  Mol Syst Biol       Date:  2010-04-20       Impact factor: 11.429

Review 9.  Computational methods to identify miRNA targets.

Authors:  Molly Hammell
Journal:  Semin Cell Dev Biol       Date:  2010-01-15       Impact factor: 7.727

Review 10.  Potential pitfalls in microRNA profiling.

Authors:  Pauline Chugh; Dirk P Dittmer
Journal:  Wiley Interdiscip Rev RNA       Date:  2012-05-07       Impact factor: 9.957

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