Literature DB >> 20177143

Got target? Computational methods for microRNA target prediction and their extension.

Hyeyoung Min1, Sungroh Yoon.   

Abstract

MicroRNAs (miRNAs) are a class of small RNAs of 19-23 nucleotides that regulate gene expression through target mRNA degradation or translational gene silencing. The miRNAs are reported to be involved in many biological processes, and the discovery of miRNAs has been provided great impacts on computational biology as well as traditional biology. Most miRNA-associated computational methods comprise the prediction of miRNA genes and their targets, and increasing numbers of computational algorithms and web-based resources are being developed to fulfill the need of scientists performing miRNA research. Here we summarize the rules to predict miRNA targets and introduce some computational algorithms that have been developed for miRNA target prediction and the application of the methods. In addition, the issue of target gene validation in an experimental way will be discussed.

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Year:  2010        PMID: 20177143      PMCID: PMC2859323          DOI: 10.3858/emm.2010.42.4.032

Source DB:  PubMed          Journal:  Exp Mol Med        ISSN: 1226-3613            Impact factor:   8.718


  56 in total

1.  Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.

Authors:  Benjamin P Lewis; Christopher B Burge; David P Bartel
Journal:  Cell       Date:  2005-01-14       Impact factor: 41.582

2.  Prediction of both conserved and nonconserved microRNA targets in animals.

Authors:  Xiaowei Wang; Issam M El Naqa
Journal:  Bioinformatics       Date:  2007-11-29       Impact factor: 6.937

3.  Nur77 upregulates HIF-alpha by inhibiting pVHL-mediated degradation.

Authors:  Bu Yeon Kim; Hyungsoo Kim; Eun Jung Cho; Hong Duk Youn
Journal:  Exp Mol Med       Date:  2008-02-29       Impact factor: 8.718

4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  A mammalian microRNA expression atlas based on small RNA library sequencing.

Authors:  Pablo Landgraf; Mirabela Rusu; Robert Sheridan; Alain Sewer; Nicola Iovino; Alexei Aravin; Sébastien Pfeffer; Amanda Rice; Alice O Kamphorst; Markus Landthaler; Carolina Lin; Nicholas D Socci; Leandro Hermida; Valerio Fulci; Sabina Chiaretti; Robin Foà; Julia Schliwka; Uta Fuchs; Astrid Novosel; Roman-Ulrich Müller; Bernhard Schermer; Ute Bissels; Jason Inman; Quang Phan; Minchen Chien; David B Weir; Ruchi Choksi; Gabriella De Vita; Daniela Frezzetti; Hans-Ingo Trompeter; Veit Hornung; Grace Teng; Gunther Hartmann; Miklos Palkovits; Roberto Di Lauro; Peter Wernet; Giuseppe Macino; Charles E Rogler; James W Nagle; Jingyue Ju; F Nina Papavasiliou; Thomas Benzing; Peter Lichter; Wayne Tam; Michael J Brownstein; Andreas Bosio; Arndt Borkhardt; James J Russo; Chris Sander; Mihaela Zavolan; Thomas Tuschl
Journal:  Cell       Date:  2007-06-29       Impact factor: 41.582

6.  Endogenous siRNA and miRNA targets identified by sequencing of the Arabidopsis degradome.

Authors:  Charles Addo-Quaye; Tifani W Eshoo; David P Bartel; Michael J Axtell
Journal:  Curr Biol       Date:  2008-05-08       Impact factor: 10.834

7.  microRNA target predictions across seven Drosophila species and comparison to mammalian targets.

Authors:  Dominic Grün; Yi-Lu Wang; David Langenberger; Kristin C Gunsalus; Nikolaus Rajewsky
Journal:  PLoS Comput Biol       Date:  2005-06-24       Impact factor: 4.475

8.  miRecords: an integrated resource for microRNA-target interactions.

Authors:  Feifei Xiao; Zhixiang Zuo; Guoshuai Cai; Shuli Kang; Xiaolian Gao; Tongbin Li
Journal:  Nucleic Acids Res       Date:  2008-11-07       Impact factor: 16.971

9.  The database of experimentally supported targets: a functional update of TarBase.

Authors:  Giorgos L Papadopoulos; Martin Reczko; Victor A Simossis; Praveen Sethupathy; Artemis G Hatzigeorgiou
Journal:  Nucleic Acids Res       Date:  2008-10-27       Impact factor: 16.971

10.  miRGator: an integrated system for functional annotation of microRNAs.

Authors:  Seungyoon Nam; Bumjin Kim; Seokmin Shin; Sanghyuk Lee
Journal:  Nucleic Acids Res       Date:  2007-10-16       Impact factor: 16.971

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  79 in total

1.  Precursor miR-886, a novel noncoding RNA repressed in cancer, associates with PKR and modulates its activity.

Authors:  Kwanbok Lee; Nawapol Kunkeaw; Sung Ho Jeon; Inhan Lee; Betty H Johnson; Gum-Yong Kang; Joo Young Bang; Hyung Soon Park; Chanvit Leelayuwat; Yong Sun Lee
Journal:  RNA       Date:  2011-04-25       Impact factor: 4.942

Review 2.  MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship.

Authors:  Amy E Pasquinelli
Journal:  Nat Rev Genet       Date:  2012-03-13       Impact factor: 53.242

Review 3.  A study of miRNAs targets prediction and experimental validation.

Authors:  Yong Huang; Quan Zou; Haitai Song; Fei Song; Ligang Wang; Guozheng Zhang; Xingjia Shen
Journal:  Protein Cell       Date:  2010-12-10       Impact factor: 14.870

4.  Suitable reference genes for relative quantification of miRNA expression in prostate cancer.

Authors:  Annika Schaefer; Monika Jung; Kurt Miller; Michael Lein; Glen Kristiansen; Andreas Erbersdobler; Klaus Jung
Journal:  Exp Mol Med       Date:  2010-11-30       Impact factor: 8.718

5.  Ambient particulate air pollution and microRNAs in elderly men.

Authors:  Serena Fossati; Andrea Baccarelli; Antonella Zanobetti; Mirjam Hoxha; Pantel S Vokonas; Robert O Wright; Joel Schwartz
Journal:  Epidemiology       Date:  2014-01       Impact factor: 4.822

6.  A molecular dynamics study of a miRNA:mRNA interaction.

Authors:  Giulia Paciello; Andrea Acquaviva; Elisa Ficarra; Marco Agostino Deriu; Enrico Macii
Journal:  J Mol Model       Date:  2011-02-12       Impact factor: 1.810

Review 7.  Current approaches to micro-RNA analysis and target gene prediction.

Authors:  Tenzin W Lhakhang; M Ahmad Chaudhry
Journal:  J Appl Genet       Date:  2011-09-03       Impact factor: 3.240

8.  Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors.

Authors:  Friedrich Erhart; Matthias Hackl; Hannes Hahne; Johanna Buchroithner; Chen Meng; Simone Klingenbrunner; René Reitermaier; Katrin Fischhuber; Susanna Skalicky; Walter Berger; Sabine Spiegl-Kreinecker; Daniela Lötsch; Gerda Ricken; Bernhard Kuster; Adelheid Wöhrer; Georg Widhalm; Johannes Hainfellner; Thomas Felzmann; Alexander M Dohnal; Christine Marosi; Carmen Visus
Journal:  NPJ Vaccines       Date:  2020-01-16       Impact factor: 7.344

9.  Identification of regulatory relationships in Parkinson's disease.

Authors:  Hao Wang; Cheng Sun; Yusi Liang; Heying Zhang; Yonggang Tan
Journal:  J Mol Neurosci       Date:  2013-02-21       Impact factor: 3.444

10.  Chronic regulation of the renal Na(+)/H(+) exchanger NHE3 by dopamine: translational and posttranslational mechanisms.

Authors:  Ming Chang Hu; Francesca Di Sole; Jianning Zhang; Paul McLeroy; Orson W Moe
Journal:  Am J Physiol Renal Physiol       Date:  2013-02-20
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