Literature DB >> 21076148

PLEXY: efficient target prediction for box C/D snoRNAs.

Stephanie Kehr1, Sebastian Bartschat, Peter F Stadler, Hakim Tafer.   

Abstract

MOTIVATION: Small nucleolar RNAs (snoRNAs) are an abundant class of non-coding RNAs with a wide variety of cellular functions including chemical modification of RNA, telomere maintanance, pre-rRNA processing and regulatory activities in alternative splicing. The main role of box C/D snoRNAs is to determine the targets for 2'-O-ribose methylation, which is important for rRNA maturation and splicing regulation of some mRNAs. The targets are still unknown, however, for many 'orphan' snoRNAs. While a fast and efficient target predictor for box H/ACA snoRNAs is available, no comparable tool exists for box C/D snoRNAs, even though they bind to their targets in a much less complex manner.
RESULTS: PLEXY is a dynamic programming algorithm that computes thermodynamically optimal interactions of a box C/D snoRNA with a putative target RNA. Implemented as scanner for large input sequences and equipped with filters on the duplex structure, PLEXY is an efficient and reliable tool for the prediction of box C/D snoRNA target sites. AVAILABILITY: The perl script PLEXY is freely available at http://www.bioinf.uni-leipzig.de/Software/PLEXY.

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Year:  2010        PMID: 21076148     DOI: 10.1093/bioinformatics/btq642

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


  23 in total

1.  Animal snoRNAs and scaRNAs with exceptional structures.

Authors:  Manja Marz; Andreas R Gruber; Christian Höner Zu Siederdissen; Fabian Amman; Stefan Badelt; Sebastian Bartschat; Stephan H Bernhart; Wolfgang Beyer; Stephanie Kehr; Ronny Lorenz; Andrea Tanzer; Dilmurat Yusuf; Hakim Tafer; Ivo L Hofacker; Peter F Stadler
Journal:  RNA Biol       Date:  2011-11-01       Impact factor: 4.652

Review 2.  Biology and applications of small nucleolar RNAs.

Authors:  Tomaž Bratkovič; Boris Rogelj
Journal:  Cell Mol Life Sci       Date:  2011-07-12       Impact factor: 9.261

3.  Rpl13a small nucleolar RNAs regulate systemic glucose metabolism.

Authors:  Jiyeon Lee; Alexis N Harris; Christopher L Holley; Jana Mahadevan; Kelly D Pyles; Zeno Lavagnino; David E Scherrer; Hideji Fujiwara; Rohini Sidhu; Jessie Zhang; Stanley Ching-Cheng Huang; David W Piston; Maria S Remedi; Fumihiko Urano; Daniel S Ory; Jean E Schaffer
Journal:  J Clin Invest       Date:  2016-11-07       Impact factor: 14.808

4.  An updated human snoRNAome.

Authors:  Hadi Jorjani; Stephanie Kehr; Dominik J Jedlinski; Rafal Gumienny; Jana Hertel; Peter F Stadler; Mihaela Zavolan; Andreas R Gruber
Journal:  Nucleic Acids Res       Date:  2016-05-12       Impact factor: 16.971

5.  The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets.

Authors:  Gabrielle Deschamps-Francoeur; Sonia Couture; Sherif Abou-Elela; Michelle S Scott
Journal:  Nucleic Acids Res       Date:  2022-06-24       Impact factor: 19.160

Review 6.  Death by lipids: The role of small nucleolar RNAs in metabolic stress.

Authors:  Jean E Schaffer
Journal:  J Biol Chem       Date:  2020-05-11       Impact factor: 5.157

7.  A comprehensive comparison of general RNA-RNA interaction prediction methods.

Authors:  Daniel Lai; Irmtraud M Meyer
Journal:  Nucleic Acids Res       Date:  2015-12-15       Impact factor: 16.971

8.  RNA processing in the minimal organism Nanoarchaeum equitans.

Authors:  Lennart Randau
Journal:  Genome Biol       Date:  2012-07-18       Impact factor: 13.583

9.  RNA-Seq analyses reveal the order of tRNA processing events and the maturation of C/D box and CRISPR RNAs in the hyperthermophile Methanopyrus kandleri.

Authors:  Andreas A H Su; Vanessa Tripp; Lennart Randau
Journal:  Nucleic Acids Res       Date:  2013-04-25       Impact factor: 16.971

Review 10.  Emerging Data on the Diversity of Molecular Mechanisms Involving C/D snoRNAs.

Authors:  Laeya Baldini; Bruno Charpentier; Stéphane Labialle
Journal:  Noncoding RNA       Date:  2021-05-06
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