成骨不全环状RNA生物信息学分析

摘要

Objective To predict circRNAs and target genes for 11 differentially expressed miRNAs including miR-21,miR-26a,miR-29a,miR-29b,miR-30e,miR-34c,miR-133a,miR-145,miR-210,miR-489 and miR-1297 in the serum specimens of osteogenesis imperfecta (OI) patients.Methods The Starbase software was used to predict the related circRNAs of the eleven differentially expressed miRNAs,and the frequency distribution of miRNA-circRNA was analyzed and the network analysis was conducted by Cytoscape software to find the core elements.Using the miRWALK software,the target genes of the eleven differentially expressed miRNAs were predicted,the target genes of miRWALK were obtained by frequency distribution analysis and Cytoscape DAVID software to ftnd the core molecule using network analysis.Results A total of 222 circRNAs were predicted by the Starbase software for these 11 miRNAs and 141 of them belonged to non-overlapping circRNAs.Among them,MIB1_ hsa _circ _000886,MIB1 _hsa _circ_002013,CPNE1 _hsa _circ_000657 CYP4F3 _hsa _circ_001395 and KIAA1586 _hsa _circ_001439 were found to interact with four kinds of miRNAs.Another 14 circRNAs were found to interact with three kinds of miRNAs.MiRWALK software predicted that the target genes of CNOT6,ELF2 and NAV3 were closely interacted with corresponding differentially expressed miRNAs of OI.MiR-133a miR-145 was identified to interact with YES1 gene and circRNA FAT1 hsa circ 000713 and LMNB2 hsa circ_001499.MiR-29amiR-29bmiR-133a interacted with PPP2CA gene and KIAA1586_hsa circ 001439 circRNA.MiR-145miR-26a interacted with NTN4 and SRGAP1 genes and RFC1 hsa circ_001649 circRNA.Conclusion In this study,we analyzed differentially expressed miRNAs of OI and their corresponding circRNAs and target genes.Meanwhile,the network interaction among miRNAs,circRNAs and target genes as well as signaling pathways were also analyzed.The study laid the foundation for the further interaction analysis of miRNAs,circRNAs and target genes.%目的 对成骨不全血清中差异表达的miR-21、miR-26a、miR-29a、miR-29b、miR-30e、miR-34c、miR-133a、miR-145、miR-210、miR-489与miR-1297等共11种miRNAs进行circRNAs及其靶基因的预测,同时分析其与circRNAs及靶基因间的相互作用.方法 采用starbase软件对11种差异性表达miRNAs相关circRNAs进行预测,将得到的miRNA-circRNA进行频数分布分析并通过cytoscape软件进行网络分析寻找核心分子.采用miRWALK软件对11种差异性表达miRNAs相关靶基因进行预测,将得到的miRWALK-靶基因进行频数分布分析并通过cytoscape,DAVID软件进行网络分析寻找核心分子.结果 Starbase软件对11种不同miRNAs所预测的靶circRNAs的总数量为222个,非重叠circRNAs为141个.其中MIB1_hsa_circ_ 000886,MIB1_ hsa_circ_002013,CPNE1 _hsa_circ_000657,CYP4F3_hsa_circ_001395,KIAA1586_hsa_circ_001439与其中4种miRNA相互作用.另有14个circRNAs与3种miRNA相互作用.miRWALK软件对11种不同miRNAs所预测的靶基因中CNOT6、ELF2、NAV3等基因在不同数量级数据库中与相应不同种miRNAs作用密切.通过对11种miRNA相应circRNA以及靶基因生物学预测分析得到YES1基因与miR-133a、miR-145以及FAT1_hsa_circ_000713与LMNB2_hsa_circ_001499之间存在相互作用.PPP2CA与miR-29a、miR-29b、miR-133a以及KIAA1586_ hsa_circ_001439之间存在相互作用.NTN4和SRGAP1与miR-26a、miR-145以及RFC1_hsa_circ 001649之间存在相互作用.结论 本研究对成骨不全血清中差异表达的11种miRNAs及其相互作用的circRNAs、靶基因与相关信号通路进行了网络分析与预测,为进一步分析之间相互作用奠定了基础.