机构地区:[1]山东省罕少见病重点实验室山东省医药生物技术研究中心山东省医学科学院,济南250062 [2]济南大学-山东省医学科学院医学与生命科学学院,济南250200 [3]天津市武清区人民医院,天津301700 [4]山东省立医院小儿骨科,济南250021
出 处:《生物化学与生物物理进展》2016年第11期1094-1101,共8页Progress In Biochemistry and Biophysics
基 金:山东省英才基金项目(2015ZRC03171);山东省国际科技合作项目资助~~
摘 要:为对靶向Wnt1的7种mi RNAs进行circ RNAs及其靶基因的预测,同时分析其与circ RNAs及靶基因间的相互作用,分别采用Starbase及mi RWALK软件,对文献报道的靶向Wnt1基因的let-7e、mi R-21、mi R-34a、mi R-122、mi R-148a、mi R-148b与mi R-152等7种mi RNAs的circ RNAs和对应的靶基因进行生物信息学预测.利用Cytoscape 3.2.1对这7种mi RNAs和预测所得到的circ RNAs及对应的靶基因进行网络分析.并进一步对预测到的靶基因通过DAVID软件进行通路分析.Starbase软件对这7种不同mi RNAs所预测的靶circ RNAs的数量分别为58、15、41、20、28、28、28个.分别比较mi RWALK中7~9个以上软件共有的mi RNAs及其与靶基因的关系,发现CHD7基因是唯一一个在三种不同预测范围内与mi R-21、mi R-148a、mi R-148b和mi R-152等4种mi RNAs相对应的靶基因.CNOT6、NBEA、ZFYVE26与ZDHHC17是在两种不同预测范围内与至少4个mi RNAs相对应的靶基因.在7种mi RNAs所预测靶基因相关的KEGG信号通路中,7~9个软件以上共有的信号通路为Focal adhesion信号通路、MAPK信号通路、Notch信号通路与TGF-beta信号通路.在MAPK信号通路中DUSP1与MRPS35_hsa_circ_001042均分别是与mi R-21、mi R-148a、mi R-148b及mi R-152等4种mi RNAs相互作用的靶基因与circ RNA.本研究对靶向Wnt1的mi RNAs及其相互作用的circ RNAs、靶基因与信号通路等进行了网络分析与预测,为进一步分析它们之间的相互作用奠定了基础.To predict circ RNAs and target genes for seven known Wnt1-targeting mi RNAs, then further analyze the interaction among these seven mi RNAs and their corresponding circ RNAs and target genes, seven reported Wnt1-targeting mi RNAs including let-7e, mi R-21, mi R-34 a, mi R-122, mi R-148 a, mi R-148 b and mi R-152 were predicted for their interacting circ RNAs and target genes by Starbase and mi RWALK softwares, respectively. Then the network analysis of mi RNA and their interaction circ RNAs and target genes was built by Cytoscape3.2.1software. DAVID was performed to analyze singaling pathway according to mi RNAs predicted target genes. The number of target circ RNAs predicted by Starbase software for these 7 different mi RNAs were 58, 15, 41, 20, 28,28 and 28, respectively. Comparing the relationship between mi RNAs and their target gene in more than 7 ~9softwares predicted by mi RWALK, we found that the CHD7 gene is the only one corresponding with mi R-21,mi R-148-a and mi R-148 and mi R-152 in more than 7 softwares predications. CNOT6, NBEA, ZFYVE26 and ZDHHC17 were the target genes equivalent with at least 4 mi RNAs predicted by both 7 and 8 different softwares in mi RWALK. For KEGG signaling pathways, Focl adhesion, MAPK, Notch and TGF-beta signaling pathways were all predicted by seven mi RNAs' target genes in more than 7 different predication softwares of mi RWALK. In the MAPK signaling pathway, DUSP1 was found to have interaction with mi R-21,mi R-148 a, mi R-148 b and mi R-152 simultaneously, MRPS35_hsa_circ_001042 was also predicted to interact with these four mi RNAs. We found that the DUSP1 and MRPS35_hsa_circ_001042 in the MAPK signaling pathway, are the target genes and circ RNA, interacted with mi R-21,mi R-148 a, mi R-148 b, and mi R-152, respectively. In the study, we analyzed known Wnt1-targeting mi RNAs and their corresponding circ RNAs and predicted target genes, signaling pathway and interaction network were also involved. The study laid the foundation for the further analysis of the intera
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