Next Article in Journal
Endoplasmic Reticulum (ER) Stress Response and Its Physiological Roles in Plants
Next Article in Special Issue
MicroRNA Transcriptomes Relate Intermuscular Adipose Tissue to Metabolic Risk
Previous Article in Journal
Monocyte Chemotactic Protein-1 Promotes the Myocardial Homing of Mesenchymal Stem Cells in Dilated Cardiomyopathy
Previous Article in Special Issue
CentroidAlign-Web: A Fast and Accurate Multiple Aligner for Long Non-Coding RNAs
Int. J. Mol. Sci. 2013, 14(4), 8179-8187; doi:10.3390/ijms14048179
Review

Advances in the Techniques for the Prediction of microRNA Targets

1,2,†
,
3,†
,
4
,
5
,
6,*  and 2,*
Received: 7 January 2013 / Revised: 1 April 2013 / Accepted: 2 April 2013 / Published: 15 April 2013
(This article belongs to the Special Issue Regulation by non-coding RNAs 2013)
View Full-Text   |   Download PDF [155 KB, uploaded 19 June 2014]

Abstract

MicroRNAs (miRNAs) are small, non-coding, endogenous RNA molecules that play important roles in a variety of normal and diseased biological processes by post-transcriptionally regulating the expression of target genes. They can bind to target messenger RNA (mRNA) transcripts of protein-coding genes and negatively control their translation or cause mRNA degradation. miRNAs have been found to actively regulate a variety of cellular processes, including cell proliferation, death, and metabolism. Therefore, their study is crucial for the better understanding of cellular functions in eukaryotes. To better understand the mechanisms of miRNA: mRNA interaction and their cellular functions, it is important to identify the miRNA targets accurately. In this paper, we provide a brief review for the advances in the animal miRNA target prediction methods and available resources to facilitate further study of miRNAs and their functions.
Keywords: prediction; microRNA; feature selection prediction; microRNA; feature selection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Zheng, H.; Fu, R.; Wang, J.-T.; Liu, Q.; Chen, H.; Jiang, S.-W. Advances in the Techniques for the Prediction of microRNA Targets. Int. J. Mol. Sci. 2013, 14, 8179-8187.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert