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Bioinformatic Prediction of Non-Coding Genes related to the Mouse FGF8, NOG, and BMP4 Ectodermal Differentiation Pathway Genes and Mapping of Related Network

Authors :
Somayeh Moghaddam
Esmaeil Babaei
Source :
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām, Vol 30, Iss 1, Pp 29-41 (2022)
Publication Year :
2022
Publisher :
Ilam University of Medical Sciences, 2022.

Abstract

Introduction: Long non-coding RNAs (lncRNAs) and miRNAs belong to a class of non-coding RNAs (ncRNAs) that play important roles and functions in the regulation of the expression of genes in main biological processes, such as cell proliferation, apoptosis, and differentiation. LncRNAs can potentially affect miRNAs in the forms of cis/trans to modulate their regulatory role. In this study, mRNA, miRNA, and lncRNA gene networks were predicted by web-based programs for three ectodermal pathway markers (BMP4, NOG, FGF8) in the mouse embryonic stem cells. Material & Methods: In this theoretical bioinformatics study, the miRNAs of the target genes (BMP4, NOG, and FGF8) were extracted and examined by MirWalk and TARGETSCAN databases to finally obtain the common miRNAs of these three genes. Following that, the target lncRNAs for common miRNAs were then extracted from the DIANA-Tool database. (Ethic code: 100/21560/2/پ) Findings: MiRs mmu-miR-92a-2-5p, mmu-miR-129b-5p, mmu-miR-130b-5p, mmu-miR-692, mmu-miR-7009-3P, mmu-miR-7116-3p, and mmu-miR-7689-3p may affect the function of lncRNAs, including Kcnq1ot1, Gm26812, Gm4117, Gm11837, 4930423MO2Rik, Malat1, Gm12594, Gm3414, 5830444B04Rik, Gm2464, and NEAT1. Discussion & Conclusion: Due to the mutual relationships among lncRNA, miRNA, and mRNA, our results provided a novel perspective on lncRNAs for future research and experimental studies on ectodermal differentiation pathways and molecular mechanisms.

Details

Language :
Persian
ISSN :
15634728 and 25883135
Volume :
30
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām
Publication Type :
Academic Journal
Accession number :
edsdoj.79e2314471a8484cb841d78ab1a755d1
Document Type :
article