Literature DB >> 25055918

A guide for miRNA target prediction and analysis using web-based applications.

Ana Lúcia Leitão1, Marina C Costa, Francisco J Enguita.   

Abstract

MiRNAs are small noncoding RNAs which act by binding to the 3'UTR of mRNA transcripts to exert a negative regulatory effect. The miRNA binding to its target follows rules based on the base complementarity of the seed sequence (2-9 first nucleotides of the miRNA sequence). Several algorithms have been developed to predict miRNA binding to genomic targets and its physiological consequences. This chapter will describe several practical aspects for the use of miRNA target prediction algorithms taking advantage of their web interfaces as well as how to produce integrative results in a graphical manner.

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Year:  2014        PMID: 25055918     DOI: 10.1007/978-1-4939-1062-5_23

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  Identification and characterization of microRNAs from tree peony (Paeonia ostii) and their response to copper stress.

Authors:  Qijiang Jin; Zeyun Xue; Chunlan Dong; Yanjie Wang; Lingling Chu; Yingchun Xu
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

2.  miR-150 exerts antileukemia activity in vitro and in vivo through regulating genes in multiple pathways.

Authors:  Zhi Hong Fang; Si Li Wang; Jin Tao Zhao; Zhi Juan Lin; Lin Yan Chen; Rui Su; Si Ting Xie; Bing Z Carter; Bing Xu
Journal:  Cell Death Dis       Date:  2016-09-22       Impact factor: 8.469

3.  IRNdb: the database of immunologically relevant non-coding RNAs.

Authors:  Elena Denisenko; Daniel Ho; Ousman Tamgue; Mumin Ozturk; Harukazu Suzuki; Frank Brombacher; Reto Guler; Sebastian Schmeier
Journal:  Database (Oxford)       Date:  2016-10-25       Impact factor: 3.451

4.  miRNAtools: Advanced Training Using the miRNA Web of Knowledge.

Authors:  Ewa Ł Stępień; Marina C Costa; Francisco J Enguita
Journal:  Noncoding RNA       Date:  2018-02-16

5.  The miRNA Profile in Non-Hodgkin's Lymphoma Patients with Secondary Myelodysplasia.

Authors:  Yuliya Andreevna Veryaskina; Sergei Evgenievich Titov; Igor Borisovich Kovynev; Tatiana Ivanovna Pospelova; Igor Fyodorovich Zhimulev
Journal:  Cells       Date:  2020-10-19       Impact factor: 6.600

6.  microRNA expression levels in the nucleus accumbens correlate with morphine-taking but not morphine-seeking behaviour in male rats.

Authors:  Aria Gillespie; Hannah L Mayberry; Mathieu E Wimmer; Stephanie E Sillivan
Journal:  Eur J Neurosci       Date:  2022-03-29       Impact factor: 3.698

  6 in total

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