Literature DB >> 15217813

Evidence that microRNA precursors, unlike other non-coding RNAs, have lower folding free energies than random sequences.

Eric Bonnet1, Jan Wuyts, Pierre Rouzé, Yves Van de Peer.   

Abstract

MOTIVATION: Most non-coding RNAs are characterized by a specific secondary and tertiary structure that determines their function. Here, we investigate the folding energy of the secondary structure of non-coding RNA sequences, such as microRNA precursors, transfer RNAs and ribosomal RNAs in several eukaryotic taxa. Statistical biases are assessed by a randomization test, in which the predicted minimum free energy of folding is compared with values obtained for structures inferred from randomly shuffling the original sequences.
RESULTS: In contrast with transfer RNAs and ribosomal RNAs, the majority of the microRNA sequences clearly exhibit a folding free energy that is considerably lower than that for shuffled sequences, indicating a high tendency in the sequence towards a stable secondary structure. A possible usage of this statistical test in the framework of the detection of genuine miRNA sequences is discussed.

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Year:  2004        PMID: 15217813     DOI: 10.1093/bioinformatics/bth374

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


  242 in total

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Journal:  Mol Genet Genomics       Date:  2012-04       Impact factor: 3.291

2.  Identification of an miRNA candidate reflects the possible significance of transcribed microsatellites in the hairpin precursors of black pepper.

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Journal:  Funct Integr Genomics       Date:  2012-02-25       Impact factor: 3.410

3.  Identification of miRNAs in sorghum by using bioinformatics approach.

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Journal:  Plant Signal Behav       Date:  2012-02-01

4.  Computational identification of microRNAs and their targets from the expressed sequence tags of horsegram (Macrotyloma uniflorum (Lam.) Verdc.).

Authors:  Jyoti Bhardwaj; Hasan Mohammad; Sudesh Kumar Yadav
Journal:  J Struct Funct Genomics       Date:  2010-10-27

5.  Cytoplasmic male sterility-regulated novel microRNAs from maize.

Authors:  Yaou Shen; Zhiming Zhang; Haijian Lin; Hailan Liu; Jie Chen; Hua Peng; Moju Cao; Tingzhao Rong; Guangtang Pan
Journal:  Funct Integr Genomics       Date:  2010-10-31       Impact factor: 3.410

6.  Synteny and comparative analysis of miRNA retention, conservation, and structure across Brassicaceae reveals lineage- and sub-genome-specific changes.

Authors:  Aditi Jain; Sandip Das
Journal:  Funct Integr Genomics       Date:  2016-02-12       Impact factor: 3.410

Review 7.  Exploration of small non coding RNAs in wheat (Triticum aestivum L.).

Authors:  Yingyin Yao; Qixin Sun
Journal:  Plant Mol Biol       Date:  2011-10-19       Impact factor: 4.076

8.  Fast and reliable prediction of noncoding RNAs.

Authors:  Stefan Washietl; Ivo L Hofacker; Peter F Stadler
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-21       Impact factor: 11.205

9.  Tracking down noncoding RNAs.

Authors:  Vincent Moulton
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-09       Impact factor: 11.205

10.  Identification of soybean microRNAs and their targets.

Authors:  Baohong Zhang; Xiaoping Pan; Edmund J Stellwag
Journal:  Planta       Date:  2008-09-25       Impact factor: 4.116

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