Hsa-miR-210-5p靶基因预测及其相关信号通路的生物信息学分析  被引量:3

Bioinformatics analysis of target gene prediction and related signaling pathways of hsa-miR-210-5p

在线阅读下载全文

作  者:蔡丹平 龙鼎新[1] CAI Danping;LONG Dingxin(Chuanshan College,University of South China,Hengyang 421001,Hunan,China)

机构地区:[1]南华大学船山学院,湖南衡阳421001

出  处:《生物信息学》2020年第2期109-115,共7页Chinese Journal of Bioinformatics

基  金:国家自然科学基金项目(No.81673227);湖南省教育厅重点项目(No.2018A254).

摘  要:为深入研究miR-210-5p的调控机制及生物学功能提供理论机制,应用生物信息学方法分析miR-210-5p序列,预测其靶基因,用Veney2.1.0绘制韦恩图得到靶基因集合,并对其靶基因集合进行蛋白质互作分析,GO功能注释分析和KEGG Pathway分析。结果发现,已知的成熟miR-210-5p序列在各物种间高度保守。蛋白质互作分析显示,miR-210-5p预测靶基因所编码蛋白质间相互作用关系较复杂,尤其是靶基因CDK8、MED18、MED13等编码的蛋白质,在互作中起关键作用。GO分析发现其靶基因集合可能参与细胞组分、分子功能、生物调节等生物学过程;KEGG pathway分析发现其靶基因集合主要富集在MAPK、VEGF、癌症、甲状腺激素信号通路等信号通路。miR-210-5p调控靶基因参与多种重要的生物学过程,为后续研究提供了线索。To provide a theoretical mechanism for investigating the regulation mechanism and biological function of miR-210-5p,the sequence of miR-210-5p was analyzed by bioinformatics method to predict its target genes.The target genes set were drawn by Veney2.1.0,and used for protein interaction,Gene Ontology(GO)functional annotation analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis.It was found that the mature sequence of miR-210-5p was highly conservative among various species.Protein interaction analysis showed that the interaction was more complex between the proteins encoded by the predicted miR-210-5p target genes,and those encoded by the target genes CDK8,MED18,and MED13 played significant roles in the interaction network.GO analysis demonstrated that miR-210-5p target genes might be involved in biological process such as cellular components,molecular function,and biological process.The KEGG pathway analysis showed that miR-210-5p target genes were mainly enriched in MAPK,VEGF,cancer,and thyroid hormone signaling pathway.The target genes of miR-210-5p were involved in many essential biological processes,which provides clues for future research.

关 键 词:miR-210-5p 靶基因 信号通路 生物信息学 

分 类 号:Q343.1[生物学—遗传学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象