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Bioinformatic Prediction of miRNAs Targeting NOTCH1 and HBx Genes in Chronic Hepatitis B-Induced Hepatocellular Carcinoma

Authors :
Niloofar Moradi
Mehdi Paryan
Behzad Khansarinejad
Mohammad Rafiei
Mahdieh Mondanizadeh
Source :
Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Arāk, Vol 19, Iss 12, Pp 89-101 (2017)
Publication Year :
2017
Publisher :
Arak Medical University, 2017.

Abstract

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.

Details

Language :
Persian
ISSN :
17355338 and 2008644X
Volume :
19
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Arāk
Publication Type :
Academic Journal
Accession number :
edsdoj.348608bdeb3e41c2bdce367069d800df
Document Type :
article