Literature DB >> 24525131

Refining microRNA target predictions: sorting the wheat from the chaff.

William Ritchie1, John E J Rasko2.   

Abstract

microRNAs are short RNAs that reduce gene expression by binding to their targets. The accurate prediction of microRNA targets is essential to understanding the function of microRNAs. Computational predictions indicate that all human genes may be regulated by microRNAs, with each microRNA possibly targeting thousands of genes. Here we discuss computational methods for identifying mammalian microRNA targets and refining them for further experimental validation. We describe microRNA target prediction resources and procedures and how they integrate with various types of experimental techniques that aim to validate them or further explore their function. We also provide a list of target prediction databases and explain how these are curated. Crown
Copyright © 2014. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioinformatics; gene regulation; microRNA target prediction

Mesh:

Substances:

Year:  2014        PMID: 24525131     DOI: 10.1016/j.bbrc.2014.01.181

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  19 in total

1.  ATP synthase: an identified target gene of bantam in paired female Schistosoma japonicum.

Authors:  Jun Sun; Su-Wen Wang; Chen Li
Journal:  Parasitol Res       Date:  2014-11-20       Impact factor: 2.289

2.  Role of the mTORC1 complex in satellite cell activation by RNA-induced mitochondrial restoration: dual control of cyclin D1 through microRNAs.

Authors:  Sukanta Jash; Gunjan Dhar; Utpalendu Ghosh; Samit Adhya
Journal:  Mol Cell Biol       Date:  2014-07-21       Impact factor: 4.272

3.  Hsa-microRNA-181a is a regulator of a number of cancer genes and a biomarker for endometrial carcinoma in patients: a bioinformatic and clinical study and the therapeutic implication.

Authors:  Shuming He; Shumei Zeng; Zhi-Wei Zhou; Zhi-Xu He; Shu-Feng Zhou
Journal:  Drug Des Devel Ther       Date:  2015-02-18       Impact factor: 4.162

4.  miR-3646 promotes cell proliferation, migration, and invasion via regulating G2/M transition in human breast cancer cells.

Authors:  Shuang Tao; Yao-Bang Liu; Zhi-Wei Zhou; Bin Lian; Hong Li; Jin-Ping Li; Shu-Feng Zhou
Journal:  Am J Transl Res       Date:  2016-04-15       Impact factor: 4.060

5.  Association between downexpression of MiR-203 and poor prognosis in non-small cell lung cancer patients.

Authors:  R Tang; T Zhong; Y Dang; X Zhang; P Li; G Chen
Journal:  Clin Transl Oncol       Date:  2015-08-26       Impact factor: 3.405

6.  Non-equivalent Roles of AGO1 and AGO2 in mRNA Turnover and Translation of Cyclin D1 mRNA.

Authors:  Utpalendu Ghosh; Samit Adhya
Journal:  J Biol Chem       Date:  2016-02-04       Impact factor: 5.157

7.  Methods and compositions for amplification and detection of microRNAs (miRNAs) and noncoding RNAs (ncRNAs) using the signature sequence amplification method (SSAM).

Authors:  Stephen D Ginsberg; Shaoli Che
Journal:  Recent Adv DNA Gene Seq       Date:  2014

8.  Association between underexpression of microrna-203 and clinicopathological significance in hepatocellular carcinoma tissues.

Authors:  Yongru Liu; Fanghui Ren; Minhua Rong; Yihuan Luo; Yiwu Dang; Gang Chen
Journal:  Cancer Cell Int       Date:  2015-06-18       Impact factor: 5.722

9.  A novel member of the let-7 microRNA family is associated with developmental transitions in filarial nematode parasites.

Authors:  Alan D Winter; Victoria Gillan; Kirsty Maitland; Richard D Emes; Brett Roberts; Gillian McCormack; William Weir; Anna V Protasio; Nancy Holroyd; Matthew Berriman; Collette Britton; Eileen Devaney
Journal:  BMC Genomics       Date:  2015-04-22       Impact factor: 3.969

10.  Down-Regulation of MiR-193a-3p Dictates Deterioration of HCC: A Clinical Real-Time qRT-PCR Study.

Authors:  Yongru Liu; Fanghui Ren; Yihuan Luo; Minhua Rong; Gang Chen; Yiwu Dang
Journal:  Med Sci Monit       Date:  2015-08-11
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