Naderi Elnaz, Mostafaei Mehdi, Pourshams Akram, Mohamadkhani Ashraf
Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Biotechnology Engineering, Islamic Azad University,Tehran North Branch, Tehran, Iran.
Biomed Res Int. 2014;2014:534821. doi: 10.1155/2014/534821. Epub 2014 May 7.
MicroRNAs are small RNA molecules that regulate the expression of certain genes through interaction with mRNA targets and are mainly involved in human cancer. This study was conducted to make the network of miRNAs-mRNAs interactions in pancreatic cancer as the fourth leading cause of cancer death.
56 miRNAs that were exclusively expressed and 1176 genes that were downregulated or silenced in pancreas cancer were extracted from beforehand investigations. MiRNA-mRNA interactions data analysis and related networks were explored using MAGIA tool and Cytoscape 3 software. Functional annotations of candidate genes in pancreatic cancer were identified by DAVID annotation tool.
This network is made of 217 nodes for mRNA, 15 nodes for miRNA, and 241 edges that show 241 regulations between 15 miRNAs and 217 target genes. The miR-24 was the most significantly powerful miRNA that regulated series of important genes. ACVR2B, GFRA1, and MTHFR were significant target genes were that downregulated.
Although the collected previous data seems to be a treasure trove, there was no study simultaneous to analysis of miRNAs and mRNAs interaction. Network of miRNA-mRNA interactions will help to corroborate experimental remarks and could be used to refine miRNA target predictions for developing new therapeutic approaches.
微小RNA是一类小RNA分子,通过与mRNA靶标相互作用来调节某些基因的表达,主要参与人类癌症。本研究旨在构建胰腺癌中miRNA-mRNA相互作用网络,胰腺癌是癌症死亡的第四大主要原因。
从先前的研究中提取出在胰腺癌中特异性表达的56种miRNA和下调或沉默的1176个基因。使用MAGIA工具和Cytoscape 3软件探索miRNA-mRNA相互作用数据分析及相关网络。通过DAVID注释工具鉴定胰腺癌中候选基因的功能注释。
该网络由217个mRNA节点、15个miRNA节点和241条边组成,这些边显示了15种miRNA与217个靶基因之间的241种调控关系。miR-24是调控一系列重要基因的最具显著作用的miRNA。ACVR2B、GFRA1和MTHFR是下调的重要靶基因。
尽管收集到的先前数据似乎是一个宝库,但尚无同时分析miRNA和mRNA相互作用的研究。miRNA-mRNA相互作用网络将有助于证实实验结果,并可用于完善miRNA靶标预测以开发新的治疗方法。