Ma Ruiqi, Wang Chenyu, Wang Junjian, Wang Dong, Xu Jianzhen
College of Bioengineering, Henan University of Technology, Zhengzhou, 450001, China.
Department of General Surgery, Huaihe Clinical College of Henan University, Kaifeng, 475000, China.
Interdiscip Sci. 2016 Sep;8(3):209-19. doi: 10.1007/s12539-015-0117-8. Epub 2015 Sep 4.
MicroRNAs (miRNAs) are small RNA molecules, about 20-25 nucleotides in length. They repress or degrade messenger RNA (mRNA) translation, which are involved in human cancer. In this study based on paired miRNA and mRNA expression profiles of non-small cell lung cancer samples, we constructed and analyzed miRNA-mRNA interaction network via several bioinformatics softwares and platforms. This integrative network is comprised of 249 nodes for mRNA, 90 nodes for miRNA and 290 edges that show regulations between target genes and miRNAs. The three miR-1207-5p, miR-1228* and miR-939 are the most connected miRNA that regulated a large number of genes. ST8SIA2, MED1 and HDAC4, SPN, which are targeted by multiple miRNAs and located in the center of the network, are involved in both lung cancer and nervous system via functional annotation analysis. Such a global interaction network of miRNA-mRNA in lung cancer will contribute to refining miRNA target predictions and developing novel therapeutic candidates.
微小RNA（miRNA）是长度约为20 - 25个核苷酸的小RNA分子。它们抑制或降解信使RNA（mRNA）的翻译，而这一过程与人类癌症相关。在这项基于非小细胞肺癌样本的配对miRNA和mRNA表达谱的研究中，我们通过多种生物信息学软件和平台构建并分析了miRNA - mRNA相互作用网络。这个整合网络由249个mRNA节点、90个miRNA节点和290条显示靶基因与miRNA之间调控关系的边组成。miR - 1207 - 5p、miR - 1228*和miR - 939这三种miRNA是连接最多、调控大量基因的miRNA。通过功能注释分析发现，被多个miRNA靶向且位于网络中心的ST8SIA2、MED1和HDAC4、SPN，在肺癌和神经系统中均有涉及。这种肺癌中miRNA - mRNA的全局相互作用网络将有助于完善miRNA靶标预测并开发新的治疗候选药物。
