Volume 20, Issue 8 (11-2017)                   J Arak Uni Med Sci 2017, 20(8): 61-72 | Back to browse issues page

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Rostamian Delavar M, Baghi M, Yadegari E, Ghaedi K. Bioinformatic prediction and introducing of some targeting microRNAs of Sirt1 and Bcl2 genes in model of Parkinson's disease. J Arak Uni Med Sci. 2017; 20 (8) :61-72
URL: http://amuj.arakmu.ac.ir/article-1-5213-en.html
Professor, Department of Cellular and Molecular Biology, Faculty of Sciences, University of Isfahan, Isfahan, Iran , kamranghaedi@sci.ui.ac.ir
Abstract:   (935 Views)
Abstract
Background: Oxidative Stress and mitochondrial dysfunction leading to apoptotic death of neurons play key role in the pathogenesis of the Parkinson's disease. On the other hand، misregulation of microRNAs can cause several neurodegenerative diseases. Sirt1 and Bcl2 as two key genes, regulate pathogenic processes in neurodegenerative diseases such as mitochondrial dyfunction, oxidative stress and apoptosis.
 Materials and Methods: To investigate the role of microRNAs in model of Parkinson's disease, miRWalk 2.0 and TargetScan (v7) databases were served to predict microRNA-target interactions.
Results: Possible targeting effects of different microRNAs on Bcl2 and Sirt1 genes in Rat organism were analyzed. Merging data from databases has shown that rno-miR-449a, rno-miR-182, rno-miR-211, rno-miR-34b, rno-miR-34c, rno-miR-448, rno-miR-466b and rno-miR-96 with strong possibility can inhibit expression of Bcl2 gene. Also, rno-miR-181, rno-miR-211, rno-miR-27a, rno-miR-449a, rno-miR-34c, rno-miR-30, rno-miR-200a and rno-miR-448can inhibit Sirt1 gene with high possibility.
Conclusion: According to the findings, it can be predicted that regarding to high interaction scores of rno-miR-211, rno-miR-34c and rno-miR-448 and 449awith Bcl2 and Sirt1 genes in above-mentioned databases, these microRNAs probably can have critical role in disease process. Thus, these microRNAs can be introduced as appropriate candidates for investigations in in vitro model of Parkinson's disease.

 
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Type of Study: Original Atricle | Subject: Basic Sciences
Received: 2017/07/5 | Accepted: 2017/10/11 | Published: 2017/10/21

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