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hsa-miR-381-3p靶基因预测及其相关信号通路的生物信息学分析 被引量:4

Bioinformatics Analysis of Target Gene Prediction and Related Signaling Pathways of hsa-miR-381-3p
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摘要 应用生物信息学方法分析miR-381-3p序列,预测其靶基因,并对靶基因进行蛋白质互作分析、功能富集分析及信号转导通路富集分析。结果发现,已知的成熟miR-381-3p序列在不同物种间高度保守。蛋白质互作分析显示,mi R-381-3p预测靶基因所编码蛋白质间存在复杂的相互作用,尤其是靶基因BTBD1、NUP160、STX16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过程、生物调节、细胞大分子代谢等生物学过程;KEGG通路分析发现其靶基因集合显著富集于mTOR、Wnt、p53、MAPK等信号通路中。分析结果初步提示miR-381-3p通过调控靶基因广泛参与多种重要的生物学过程,为后续的实验性研究提供了线索。 The sequence of miR-381-3p was analyzed by bioinformatics method, and its target genes were predicted and used for protein interaction, functional and signaling pathway enrichment analyses. It was found that the mature sequence of miR-381-3p was highly conservative among various species. Protein interaction analysis showed that there was a complex interaction between the proteins encoded by the predicted miR-381-3p target genes, and those encoded by the target genes BTBD1, NUP160, STX16 played a key role in the interaction network. Gene ontology(GO) analysis found that miR-381-3p target genes were involved in biological processes such as cellular process, biological regulation and cellular macromolecule metabolism.The Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis demonstrated that the gene set mostly located in mTOR, p53, MAPK and Wnt signaling pathways. The results showed that the target genes of miR-381-3p widely participated in multiple important biological processes, and this provides clues for subsequent experimental study.
作者 唐乖 龙鼎新 TANG Guai;LONG Ding-xin(School of Public Health, University of South China, Hengyang 421001, Hunan, China)
出处 《生命科学研究》 CAS CSCD 2018年第3期222-228,共7页 Life Science Research
基金 国家自然科学基金资助项目(81673227 81172712)
关键词 miR-381-3p 靶基因 生物信息学 信号通路 miR-381-3p target genes bioinformatics signaling pathway
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