Biojournal of Science and Technology (BJST)

A Scholarly Journal for Biological Publications

Biojournal of Science and Technology
Volume 1, ISSN:2410-9754, Article ID: m140002

Research Article

In silico miRNA Target Identification within the Human Peroxisome Proliferator -Activated Receptor Gamma (PPARG) Gene

Sudip Paul*, Moumoni Saha, Kazi Saiful Islam, Md. Yeashin Gazi, Sohel Ahmed

Jahangirnagar University, Savar, Dhaka 1342, Bangladesh

Date of Acceptance: Wednesday, August 13, 2014
Date of Published: Thursday, September 25, 2014

Address corresponds to
Sudip Paul, Dept. of Biochemistry and Molecular Biology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh. Mob: 01674389745. e-mail: sudippaul.bcmb@gmail.com

Acedemic Editor: Dr Mohammad Nazmul Ahsan

To cite this article
Sudip Paul*, Moumoni Saha, Kazi Saiful Islam, Md. Yeashin Gazi, Sohel Ahmed.In silico miRNA Target Identification within the Human Peroxisome Proliferator -Activated Receptor Gamma (PPARG) Gene.Biojournal of Science and Technology.Vol:1,2014

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ABSTRACT

MicroRNAs (miRNAs), an abundant class of 21-25 nucleotides long non-coding RNAs, regulate eukaryotic gene expression and therefore implicated in a wide range of biological processes. The miRNA- related genetic alterations are possibly more implicated in human diseases than currently appreciated. miRNA target prediction using bioinformatics tools is often the first line approach in studying gene regulation. Such predictions will help in setting search priorities for experimental validation of gene controlling mechanisms. But finding a functional miRNA target in the human genome yet remains a challenging task. In the present study, miRNA target sites within the complete sequences (5′ UTR, CDS and 3′ UTR) of human PPARG gene were investigated using miRwalk database. We found 26, 52 and 85 different miRNA target sites within the 5′ UTR, CDS and 3′ UTR regions of the gene, respectively. This computational approach will subsequently allow better in vitro confirmation of the miRNA regulatory networks in cellular systems.