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:: Volume 19, Number 12 (3-2017) ::
amuj 2017, 19(12): 89-101 Back to browse issues page
Bioinformatic Prediction of miRNAs Targeting NOTCH1 and HBx Genes in Chronic Hepatitis B-Induced Hepatocellular Carcinoma
Niloofar Moradi, Mehdi Paryan, Behzad Khansarinejad, Mohammad Rafiei, Mahdieh Mondanizadeh
Assistant Professor, Department of Biotechnology and Molecular Medicine, Arak University of Medical Sciences, Arak, Iran , m.mondanizadeh@arakmu.ac.ir
Abstract:   (1153 Views)

Abstract

Background: Hepatocellular carcinoma (HCC) is the third major cause of cancer death worldwide. Hepatitis B virus (HBV) and HBx gene play an important role in the development of HCC by influencing signaling pathways. Since there is no detectable symptom in the early phase of HCC, there is need to find new HCC-specific markers with high sensitivity for early detection and diagnosis of HCC. On the other hand, by the advent and development of bioinformatic sciences, it is now possible to predict miRNAs as biomarkers, and their targets. Therefore, in the present study, based on the results of the bioinformatic software applications with different algorithm, we selected the miRNA targeting HBx and NOTCH1 mRNAs according to higher score, suitable connection with target gene and confirming them in more softwares.

Materials and Methods: First, the sequences of NOTCH1 and HBx genes were retrieved from NCBI. Afterwards, several software applications such as TargetScan, mirWalk, miRBase, Miranda, PicTar, miRVir, and DIANA were applied to predict miRNAs.

Results: Based on the high scoring by bioinformatics softwares and suitable targeting, miR-34a were selected to target NOTCH1 and miR-6510, miR-5193 and miR-214 were chosen to targetHBX gene.

Conclusion: Because of tumor suppression roles of miR-214 and miR-34a, they probably could be used as therapeutic strategy in cancer researches. It is also seems that the miR-5193 could act as a specific marker in Hepatocellular carcinoma.

Keywords: Bioinformatics, Hepatocellular carcinoma, MicroRNA
Full-Text [PDF 792 kb]   (463 Downloads)    
Type of Study: Original Atricle | Subject: Basic Sciences
Received: 2017/01/2 | Accepted: 2017/02/1 | Published: 2017/02/14
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Moradi N, Paryan M, Khansarinejad B, Rafiei M, Mondanizadeh M. Bioinformatic Prediction of miRNAs Targeting NOTCH1 and HBx Genes in Chronic Hepatitis B-Induced Hepatocellular Carcinoma. amuj. 2017; 19 (12) :89-101
URL: http://amuj.arakmu.ac.ir/article-1-4867-en.html
Volume 19, Number 12 (3-2017) Back to browse issues page
مجله دانشگاه علوم پزشکی اراک Arak Medical University Journal
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