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胃癌干细胞MKN-45中差异表达的微小RNA的靶基因预测及功能分析

Target genes prediction and functional analysis of microRNAs differentially expressed in gastric cancer stem cells MKN-45.

作者信息

Salehi Zohreh, Akrami Hassan

机构信息

Department of Biology, Faculty of Science, Razi University, Kermanshah, Iran.

出版信息

J Cancer Res Ther. 2017 Jul-Sep;13(3):477-483. doi: 10.4103/0973-1482.213691.

DOI:10.4103/0973-1482.213691
PMID:28862212
Abstract

CONTEXT

Since mechanisms of microRNAs (miRNAs) in gastric cancer stem cells (CSCs) and their signaling pathways remain unknown, our aim was to predict the miRNA target genes that differentially expressed in gastric CSCs.

SUBJECTS AND METHODS

Using miRanda, PicTar, and TargetScan algorithm, target genes of miRNAs differentially expressed in gastric CSCs versus parental cells were predicted. Afterward, signaling pathways and biological functions of miRNAs in gastric CSCs were analyzed by the Database for Annotation, Visualization and Integrated Discovery (DAVID) database and DIANA tools.

RESULTS

Gene ontology (GO) tool indicated that most of miRNA target genes involved in regulation of cell cycle, apoptosis, cell migration, vasculogenesis, angiogenesis, etc. Some of miRNA target genes are connected to pivotal signaling pathways of the "stem cell genes," such as Notch, Wnt/β-catenin.

CONCLUSIONS

Bioinformatics analysis such as DAVID database, GO biological process, GO molecular function, Kyoto encyclopedia of genes and genomes pathways, BioCarta pathway, Panther pathway, and Reactome pathway revealed that target genes of differentially expressed miRNAs in gastric CSCs were connected to pivotal biological pathways that involved in cell cycle regulation, stemness properties, and differentiation.

摘要

背景

由于微小RNA(miRNA)在胃癌干细胞(CSC)中的作用机制及其信号通路尚不清楚,我们的目的是预测在胃癌CSC中差异表达的miRNA靶基因。

对象与方法

使用miRanda、PicTar和TargetScan算法,预测胃癌CSC与亲代细胞中差异表达的miRNA的靶基因。随后,通过注释、可视化和综合发现数据库(DAVID)和DIANA工具分析miRNA在胃癌CSC中的信号通路和生物学功能。

结果

基因本体论(GO)工具表明,大多数miRNA靶基因参与细胞周期调控、凋亡、细胞迁移、血管生成、血管发生等过程。一些miRNA靶基因与“干细胞基因”的关键信号通路相关,如Notch、Wnt/β-连环蛋白。

结论

通过DAVID数据库、GO生物学过程、GO分子功能、京都基因与基因组百科全书通路、BioCarta通路、Panther通路和Reactome通路等生物信息学分析表明,胃癌CSC中差异表达的miRNA的靶基因与参与细胞周期调控、干性特性和分化的关键生物学通路相关。

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