Bioinformatics prediction and experimental validation of microRNA-20a targeting Cyclin D1 in hepatocellular carcinoma

Hepatocellular carcinoma is the major form of primary liver cancer, which is the second and sixth leading cause of cancer-related death in men and women, respectively. Extensive research indicates that Wnt/β-catenin signaling pathway, which plays a pivotal role in growth, development, and differenti...

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Main Authors: Hamzeh Karimkhanloo, Samira Mohammadi-Yeganeh, Zeinab Ahsani, Mahdi Paryan
Format: Article
Language:English
Published: SAGE Publishing 2017-04-01
Series:Tumor Biology
Online Access:https://doi.org/10.1177/1010428317698361
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author Hamzeh Karimkhanloo
Samira Mohammadi-Yeganeh
Zeinab Ahsani
Mahdi Paryan
author_facet Hamzeh Karimkhanloo
Samira Mohammadi-Yeganeh
Zeinab Ahsani
Mahdi Paryan
author_sort Hamzeh Karimkhanloo
collection DOAJ
description Hepatocellular carcinoma is the major form of primary liver cancer, which is the second and sixth leading cause of cancer-related death in men and women, respectively. Extensive research indicates that Wnt/β-catenin signaling pathway, which plays a pivotal role in growth, development, and differentiation of hepatocellular carcinoma, is one of the major signaling pathways that is dysregulated in hepatocellular carcinoma. Cyclin D1 is a proto-oncogene and is one of the major regulators of Wnt signaling pathway, and its overexpression has been detected in various types of cancers including hepatocellular carcinoma. Using several validated bioinformatic databases, we predicted that the microRNAs are capable of targeting 3′-untranslated region of Cyclin D1 messenger RNA. According to the results, miR-20a was selected as the highest ranking microRNA targeting Cyclin D1 messenger RNA. Luciferase assay was recruited to confirm bioinformatic prediction results. Cyclin D1 expression was first assessed by quantitative real-time polymerase chain reaction in HepG2 cell line. Afterward, HepG2 cells were transduced by lentiviruses containing miR-20a. Then, the expression of miR-20a and Cyclin D1 was evaluated. The results of luciferase assay demonstrated targeting of 3′-untranslated region of Cyclin D1 messenger RNA by miR-20a. Furthermore, 238-fold decline in Cyclin D1 expression was observed after lentiviral induction of miR-20a in HepG2 cells. The results highlighted a considerable effect of miRNA-20a induction on the down-regulation of Cyclin D1 gene. Our results suggest that miR-20a can be used as a novel candidate for therapeutic purposes and a biomarker for hepatocellular carcinoma diagnosis.
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spelling doaj-art-3ede355875a846b3a6ae1fd03c735dc02025-08-20T03:33:31ZengSAGE PublishingTumor Biology1423-03802017-04-013910.1177/1010428317698361Bioinformatics prediction and experimental validation of microRNA-20a targeting Cyclin D1 in hepatocellular carcinomaHamzeh Karimkhanloo0Samira Mohammadi-Yeganeh1Zeinab Ahsani2Mahdi Paryan3Biotechnology Research Center, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, IranDepartment of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, IranDepartment of Molecular Biology and Genetic Engineering, Stem Cell Technology Research Center, Tehran, IranDepartment of Research and Development, Production and Research Complex, Pasteur Institute of Iran, Tehran, IranHepatocellular carcinoma is the major form of primary liver cancer, which is the second and sixth leading cause of cancer-related death in men and women, respectively. Extensive research indicates that Wnt/β-catenin signaling pathway, which plays a pivotal role in growth, development, and differentiation of hepatocellular carcinoma, is one of the major signaling pathways that is dysregulated in hepatocellular carcinoma. Cyclin D1 is a proto-oncogene and is one of the major regulators of Wnt signaling pathway, and its overexpression has been detected in various types of cancers including hepatocellular carcinoma. Using several validated bioinformatic databases, we predicted that the microRNAs are capable of targeting 3′-untranslated region of Cyclin D1 messenger RNA. According to the results, miR-20a was selected as the highest ranking microRNA targeting Cyclin D1 messenger RNA. Luciferase assay was recruited to confirm bioinformatic prediction results. Cyclin D1 expression was first assessed by quantitative real-time polymerase chain reaction in HepG2 cell line. Afterward, HepG2 cells were transduced by lentiviruses containing miR-20a. Then, the expression of miR-20a and Cyclin D1 was evaluated. The results of luciferase assay demonstrated targeting of 3′-untranslated region of Cyclin D1 messenger RNA by miR-20a. Furthermore, 238-fold decline in Cyclin D1 expression was observed after lentiviral induction of miR-20a in HepG2 cells. The results highlighted a considerable effect of miRNA-20a induction on the down-regulation of Cyclin D1 gene. Our results suggest that miR-20a can be used as a novel candidate for therapeutic purposes and a biomarker for hepatocellular carcinoma diagnosis.https://doi.org/10.1177/1010428317698361
spellingShingle Hamzeh Karimkhanloo
Samira Mohammadi-Yeganeh
Zeinab Ahsani
Mahdi Paryan
Bioinformatics prediction and experimental validation of microRNA-20a targeting Cyclin D1 in hepatocellular carcinoma
Tumor Biology
title Bioinformatics prediction and experimental validation of microRNA-20a targeting Cyclin D1 in hepatocellular carcinoma
title_full Bioinformatics prediction and experimental validation of microRNA-20a targeting Cyclin D1 in hepatocellular carcinoma
title_fullStr Bioinformatics prediction and experimental validation of microRNA-20a targeting Cyclin D1 in hepatocellular carcinoma
title_full_unstemmed Bioinformatics prediction and experimental validation of microRNA-20a targeting Cyclin D1 in hepatocellular carcinoma
title_short Bioinformatics prediction and experimental validation of microRNA-20a targeting Cyclin D1 in hepatocellular carcinoma
title_sort bioinformatics prediction and experimental validation of microrna 20a targeting cyclin d1 in hepatocellular carcinoma
url https://doi.org/10.1177/1010428317698361
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AT zeinabahsani bioinformaticspredictionandexperimentalvalidationofmicrorna20atargetingcyclind1inhepatocellularcarcinoma
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