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Bioinformatics prediction of two putative microRNAs in the frequently amplified genomic region of 3q26 in Lung Cancer

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Year: 2018
COI code: CIGS15_648
Paper Language: English

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Authors Bioinformatics prediction of two putative microRNAs in the frequently amplified genomic region of 3q26 in Lung Cancer

  Zahra Sadat Biabanaki - Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
  Mostafa Ghanei - Chemical Injuries Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
  Azam Ahmadi - Department of Genetics, Arak University of Medical Sciences, Arak, Iran
  Seyed Javad Mowla - Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran

Abstract:

Objective: Approximately 1.6 million new cases of lung cancer are diagnosed each year throughout the world. 5-year survival rate of lung cancer patients is less than 15%. Therefore, one of the most important challenges in lung cancer management is early detection and identification of its specific molecular features to improve patients treatments. microRNAs (miRNAs) are a group of non-coding regulatory RNAs involved in diverse biological processes, as well as many pathological conditions. One of the methods for studying miRNAs involved in cancer is investigation of chromosomal regions with amplifications or deletions in genomic hot spots. The 3q26 chromosomal region is amplified in ~20% of human tumors, including lung cancer. Herein, the aim of the present study is to investigate a candidate gene located in this region, to identify the presence of putative miRNAs.Material and methods: in order to predict putative miRNA coding region, we used several software such as RNAfold, PHDcleave, MiPred, and FOMmiR. Afterwards, for experimental verification of this miRNA, predicted pre-miR sequence will be overexpressed in cell line and lung cancer tissue.Result: bioinformatics analysis indicates two regions with the miRNA coding potential located in the region. Bioinformatics tools recognized these sequences as real miRNAs. Cloning and overexpression of the pre-miR sequence in lung cancer cell lines is being carried out.Conclusion: The aim of this study is to discover novel miRNAs with potential usefulness in molecular diagnosis of lung cancer. The new predicted miRNAs, had no exact similarities with the reported miRNAs in miRBase site, suggesting their possible existence as real miRNAs, with altered expression in lung cancer.

Keywords:

lung cancer, 3q26, miRNA

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COI code: CIGS15_648

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Biabanaki, Zahra Sadat; Mostafa Ghanei; Azam Ahmadi & Seyed Javad Mowla, 2018, Bioinformatics prediction of two putative microRNAs in the frequently amplified genomic region of 3q26 in Lung Cancer, The Third International and 15th National Genetics Congress, تهران, انجمن علمي ژنتيك ايران, https://www.civilica.com/Paper-CIGS15-CIGS15_648.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Biabanaki, Zahra Sadat; Mostafa Ghanei; Azam Ahmadi & Seyed Javad Mowla, 2018)
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Type: state university
Paper No.: 25732
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