Literature DB >> 16764537

Conserved microRNA characteristics in mammals.

Pål Saetrom1, Ola Snøve, Magnar Nedland, Thomas B Grünfeld, Yun Lin, Michael B Bass, Jude R Canon.   

Abstract

Short hairpin RNAs (shRNAs) and short interfering RNAs (siRNAs) probably enter different stages of the microRNA (miRNA) pathway for depletion of mRNA and suppression of protein translation. Primary and secondary structural characteristics that are shared between endogenous primary miRNA transcripts (pri-miRNAs) may contribute toward efficient biogenesis and potent silencing. This study investigates known miRNA transcripts for characteristics that are conserved between miRNAs and that distinguish them from random hairpins with similar lengths. The primary structure is conserved, as demonstrated by a significant presence or absence of certain bases at specific positions in the miRNA precursors and their flanking regions. The secondary structure is also conserved between miRNAs, as internal loops and bulges commonly appear in specific positions in the miRNA stem. The conservation of base-pairing continues past the mature duplex and 13 bases into the primary stem, with no detectable conservation of secondary structure beyond this region. Based on these observations, we have designed a hairpin construct that incorporates the most important characteristics present in endogenous miRNAs. Preliminary experiments suggest that this construct may rescue the efficacy of shRNA triggers that cannot be used with a miR-30-based hairpin, and vice versa.

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Year:  2006        PMID: 16764537     DOI: 10.1089/oli.2006.16.115

Source DB:  PubMed          Journal:  Oligonucleotides        ISSN: 1545-4576


  19 in total

1.  Detecting miRNAs in deep-sequencing data: a software performance comparison and evaluation.

Authors:  Vernell Williamson; Albert Kim; Bin Xie; G Omari McMichael; Yuan Gao; Vladimir Vladimirov
Journal:  Brief Bioinform       Date:  2012-03-24       Impact factor: 11.622

2.  RNAi-mediated TCR knockdown prevents autoimmunity in mice caused by mixed TCR dimers following TCR gene transfer.

Authors:  Mario Bunse; Gavin M Bendle; Carsten Linnemann; Laura Bies; Stephan Schulz; Ton N Schumacher; Wolfgang Uckert
Journal:  Mol Ther       Date:  2014-07-22       Impact factor: 11.454

3.  Abnormal microRNA-16 locus with synteny to human 13q14 linked to CLL in NZB mice.

Authors:  Elizabeth S Raveche; Erica Salerno; Brian J Scaglione; Vijaya Manohar; Fatima Abbasi; Yi-Chu Lin; Torgny Fredrickson; Pablo Landgraf; Sumant Ramachandra; Konrad Huppi; Jorge R Toro; Vincent E Zenger; Robert A Metcalf; Gerald E Marti
Journal:  Blood       Date:  2007-03-09       Impact factor: 22.113

Review 4.  MicroRNA (miRNA): sequence and stability, viroid-like properties, and disease association in the CNS.

Authors:  Aileen I Pogue; James M Hill; Walter J Lukiw
Journal:  Brain Res       Date:  2014-04-04       Impact factor: 3.252

5.  Human box C/D snoRNAs with miRNA like functions: expanding the range of regulatory RNAs.

Authors:  Markus Brameier; Astrid Herwig; Richard Reinhardt; Lutz Walter; Jens Gruber
Journal:  Nucleic Acids Res       Date:  2010-09-15       Impact factor: 16.971

6.  MicroRNA: An emerging therapeutic target and intervention tool.

Authors:  Zhen Liu; Alhousseynou Sall; Decheng Yang
Journal:  Int J Mol Sci       Date:  2008-06-13       Impact factor: 6.208

7.  Prediction of conserved precursors of miRNAs and their mature forms by integrating position-specific structural features.

Authors:  Goro Terai; Hiroaki Okida; Kiyoshi Asai; Toutai Mituyama
Journal:  PLoS One       Date:  2012-09-05       Impact factor: 3.240

8.  miR-BAG: bagging based identification of microRNA precursors.

Authors:  Ashwani Jha; Rohit Chauhan; Mrigaya Mehra; Heikham Russiachand Singh; Ravi Shankar
Journal:  PLoS One       Date:  2012-09-25       Impact factor: 3.240

9.  Ab initio identification of human microRNAs based on structure motifs.

Authors:  Markus Brameier; Carsten Wiuf
Journal:  BMC Bioinformatics       Date:  2007-12-18       Impact factor: 3.169

10.  HHMMiR: efficient de novo prediction of microRNAs using hierarchical hidden Markov models.

Authors:  Sabah Kadri; Veronica Hinman; Panayiotis V Benos
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

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