©2021-2032  All Rights Reserved. Online Journal of Bioinformatics.  You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides  the before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to onlinejournals@gmail.com publications. This article may be copied once but may not be, reproduced or  re-transmitted without the express permission of the editors. Linking: To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.

OJBTM

Online Journal of Bioinformatics©

Established 1995

ISSN  1443-2250

 

Volume 23 (1):1-18, 2022.

Interactions of microRNAs with Type 2 Diabetes mellitus in human genes

                          

Manika Pal-Bhadra1, Neelima Arora2, Shinde Santosh P2, Paramita Ray1, Amit Kumar Banerjee 1, U.S.N Murty1, Utpal Bhadra2

 

1Centre for Chemical Biology and Biology Division, Indian Institute of Chemical Technology 2Functional Genomics and Gene Silencing Group, Centre for Cellular and Molecular Biology (CCMB), Hyderabad-500007, India.

 

ABSTRACT

 

Pal-Bhadra M, Arora N, Santosh PS, Ray P, Banerjee AK, Murty USN, Bhadra U., Interactions of microRNAs with Type 2 Diabetes mellitus in human genes , 23 (1):1-18, 2022. Complexity and multi-dimensional effects of Type II Diabetes mellitus (T2DM) are difficult to assess due to multiple genes and disease mechanism. Regulation of insulin secretion and glucose homeostasis is mediated by microRNAs so that knowledge of gene interactions that regulate T2DM is essential.  Thirty genes are involved in two metabolic pathways in T2DM. We used miRanda (Version1.0) to predict target sites for microRNA expressed in pancreatic islets in T2DM associated genes. Target sites predicted by miRanda in 3’ UTR were compared with predictions of TargetScan and PicTar. Based on multiplicity and co-operativity, ten miRNAs targeting these genes were identified. Apart from predicting various miRNA target sites, several target site clusters marked as hot spots were also identified. Clustering of specific miRNA target sites on T2DM genes provides the clue for plausible role of these miRNAs in regulation of genes. We find that intersection of results recognized complete set of miRNAs targeting T2DM associated genes.

 

Keywords: Type 2 Diabetes mellitus, miRNA, miRANDA, , target site prediction.

MAIN

FULL-TEXT (SUBSCRIPTION OR PURCHASE TITLE)