Literature DB >> 21153515

A study of miRNAs targets prediction and experimental validation.

Yong Huang1, Quan Zou, Haitai Song, Fei Song, Ligang Wang, Guozheng Zhang, Xingjia Shen.   

Abstract

microRNAs (miRNAs) are 20-24 nucleotide (nt) RNAs that regulate eukaryotic gene expression post-transcriptionally by the degradation or translational inhibition of their target messenger RNAs (mRNAs). To identify miRNA target genes will help a lot by understanding their biological functions. Sophisticated computational approaches for miRNA target prediction, and effective biological techniques for validating these targets now play a central role in elucidating their functions. Owing to the imperfect complementarity of animal miRNAs with their targets, it is difficult to judge the accuracy of the prediction. Complexity of regulation by miRNA-mediated targets at protein and mRNAs levels has made it more challenging to identify the targets. To date, only a few miRNAs targets are confirmed. In this article, we review the methods of miRNA target prediction and the experimental validation for their corresponding mRNA targets in animals.

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Year:  2010        PMID: 21153515      PMCID: PMC4875151          DOI: 10.1007/s13238-010-0129-4

Source DB:  PubMed          Journal:  Protein Cell        ISSN: 1674-800X            Impact factor:   14.870


  67 in total

1.  MicroRNA genes are transcribed by RNA polymerase II.

Authors:  Yoontae Lee; Minju Kim; Jinju Han; Kyu-Hyun Yeom; Sanghyuk Lee; Sung Hee Baek; V Narry Kim
Journal:  EMBO J       Date:  2004-09-16       Impact factor: 11.598

Review 2.  Identification and characterization of small RNAs involved in RNA silencing.

Authors:  Alexei Aravin; Thomas Tuschl
Journal:  FEBS Lett       Date:  2005-08-18       Impact factor: 4.124

3.  New class of microRNA targets containing simultaneous 5'-UTR and 3'-UTR interaction sites.

Authors:  Inhan Lee; Subramanian S Ajay; Jong In Yook; Hyun Sil Kim; Su Hyung Hong; Nam Hee Kim; Saravana M Dhanasekaran; Arul M Chinnaiyan; Brian D Athey
Journal:  Genome Res       Date:  2009-03-31       Impact factor: 9.043

Review 4.  Got target? Computational methods for microRNA target prediction and their extension.

Authors:  Hyeyoung Min; Sungroh Yoon
Journal:  Exp Mol Med       Date:  2010-04-30       Impact factor: 8.718

5.  RAS is regulated by the let-7 microRNA family.

Authors:  Steven M Johnson; Helge Grosshans; Jaclyn Shingara; Mike Byrom; Rich Jarvis; Angie Cheng; Emmanuel Labourier; Kristy L Reinert; David Brown; Frank J Slack
Journal:  Cell       Date:  2005-03-11       Impact factor: 41.582

6.  c-Myc-regulated microRNAs modulate E2F1 expression.

Authors:  Kathryn A O'Donnell; Erik A Wentzel; Karen I Zeller; Chi V Dang; Joshua T Mendell
Journal:  Nature       Date:  2005-06-09       Impact factor: 49.962

7.  TargetSpy: a supervised machine learning approach for microRNA target prediction.

Authors:  Martin Sturm; Michael Hackenberg; David Langenberger; Dmitrij Frishman
Journal:  BMC Bioinformatics       Date:  2010-05-28       Impact factor: 3.169

8.  The nuclear RNase III Drosha initiates microRNA processing.

Authors:  Yoontae Lee; Chiyoung Ahn; Jinju Han; Hyounjeong Choi; Jaekwang Kim; Jeongbin Yim; Junho Lee; Patrick Provost; Olof Rådmark; Sunyoung Kim; V Narry Kim
Journal:  Nature       Date:  2003-09-25       Impact factor: 49.962

9.  mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts.

Authors:  Molly Hammell; Dang Long; Liang Zhang; Andrew Lee; C Steven Carmack; Min Han; Ye Ding; Victor Ambros
Journal:  Nat Methods       Date:  2008-09       Impact factor: 28.547

10.  Accurate microRNA target prediction correlates with protein repression levels.

Authors:  Manolis Maragkakis; Panagiotis Alexiou; Giorgio L Papadopoulos; Martin Reczko; Theodore Dalamagas; George Giannopoulos; George Goumas; Evangelos Koukis; Kornilios Kourtis; Victor A Simossis; Praveen Sethupathy; Thanasis Vergoulis; Nectarios Koziris; Timos Sellis; Panagiotis Tsanakas; Artemis G Hatzigeorgiou
Journal:  BMC Bioinformatics       Date:  2009-09-18       Impact factor: 3.169

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  25 in total

1.  The miR-183/ItgA3 axis is a key regulator of prosensory area during early inner ear development.

Authors:  Priscilla Van den Ackerveken; Anaïs Mounier; Aurelia Huyghe; Rosalie Sacheli; Pierre-Bernard Vanlerberghe; Marie-Laure Volvert; Laurence Delacroix; Laurent Nguyen; Brigitte Malgrange
Journal:  Cell Death Differ       Date:  2017-08-04       Impact factor: 15.828

Review 2.  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

Review 3.  An overview of microRNAs.

Authors:  Scott M Hammond
Journal:  Adv Drug Deliv Rev       Date:  2015-05-12       Impact factor: 15.470

4.  Immune modulatory function of abundant immune-related microRNAs in microvesicles from bovine colostrum.

Authors:  Qi Sun; Xi Chen; Jianxiong Yu; Ke Zen; Chen-Yu Zhang; Liang Li
Journal:  Protein Cell       Date:  2013-03-13       Impact factor: 14.870

5.  Tissue inhibitor of metalloproteinase-1 (TIMP-1) regulates mesenchymal stem cells through let-7f microRNA and Wnt/β-catenin signaling.

Authors:  Virginia Egea; Stefan Zahler; Nicole Rieth; Peter Neth; Tanja Popp; Kai Kehe; Marianne Jochum; Christian Ries
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-05       Impact factor: 11.205

6.  Upregulation of miR-494 Inhibits Cell Growth and Invasion and Induces Cell Apoptosis by Targeting Cleft Lip and Palate Transmembrane 1-Like in Esophageal Squamous Cell Carcinoma.

Authors:  Ren Zhang; Xiaonan Chen; Shengjie Zhang; Xueyan Zhang; Tong Li; Zhicai Liu; Jinwu Wang; Wenqiao Zang; Yuanyuan Wang; Yuwen Du; Guoqiang Zhao
Journal:  Dig Dis Sci       Date:  2014-12-06       Impact factor: 3.199

Review 7.  The role of redox signaling in epigenetics and cardiovascular disease.

Authors:  Gene H Kim; John J Ryan; Stephen L Archer
Journal:  Antioxid Redox Signal       Date:  2013-03-12       Impact factor: 8.401

8.  Experimental validation of candidate schizophrenia gene ZNF804A as target for hsa-miR-137.

Authors:  Albert H Kim; Erin K Parker; Vernell Williamson; Gowon O McMichael; Ayman H Fanous; Vladimir I Vladimirov
Journal:  Schizophr Res       Date:  2012-08-09       Impact factor: 4.939

9.  MicroRNAs as Potential Biomarkers for Diagnosing Cancers of Central Nervous System: a Meta-analysis.

Authors:  Dong Wei; Qun Wan; Li Li; Haifeng Jin; Yonghong Liu; Yangang Wang; Guangyun Zhang
Journal:  Mol Neurobiol       Date:  2014-08-01       Impact factor: 5.590

10.  Leveraging models of cell regulation and GWAS data in integrative network-based association studies.

Authors:  Andrea Califano; Atul J Butte; Stephen Friend; Trey Ideker; Eric Schadt
Journal:  Nat Genet       Date:  2012-07-27       Impact factor: 38.330

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