检验医学 ›› 2022, Vol. 37 ›› Issue (7): 657-663.DOI: 10.3969/j.issn.1673-8640.2022.07.012

• 基础研究·论著 • 上一篇    下一篇

hsa-miR-34a在肿瘤中的表达及生物信息学分析

文舒展1, 付子乐2, 陈淑英3()   

  1. 1.复旦大学附属华山医院骨科,上海 200040
    2.复旦大学附属中山医院肝外科,上海 200032
    3.复旦大学附属华山医院检验医学科,上海 200040
  • 收稿日期:2020-10-25 修回日期:2021-08-22 出版日期:2022-07-30 发布日期:2022-08-26
  • 通讯作者: 陈淑英
  • 作者简介:陈淑英,E-mail: xsjrmt@163.com
    文舒展,1999年生,男,学士,医士,主要从事骨肿瘤疾病临床科研工作。
  • 基金资助:
    国家自然科学基金面上项目(82102491);国家自然科学基金面上项目(81772673);上海市青年科技英才扬帆计划(19YF1405400);复旦大学附属华山医院科研启动基金(2019QD003)

Expression and bioinformatics analysis of hsa-miR-34a in tumors

WEN Shuzhan1, FU Zile2, CHEN Shuying3()   

  1. 1. Department of Orthopaedics,Huashan Hospital,Fudan University,Shanghai 200040,China
    2. Department of Liver Surgery,Zhongshan Hospital,Fudan University,Shanghai 200032,China
    3. Department of Clinical Laboratory,Huashan Hospital,Fudan University,Shanghai 200040,China
  • Received:2020-10-25 Revised:2021-08-22 Online:2022-07-30 Published:2022-08-26
  • Contact: CHEN Shuying

摘要:

目的 分析人微小RNA-34a(hsa-miR-34a)在不同肿瘤中的表达情况,预测其靶基因,并分析其生物学功能、作用机制。方法 通过miRBase数据库获得序列,分析hsa-miR-34a在人类基因组中的位置及其物种间的保守性。通过TargetScan、miRWalk、miRDB和mirDIP数据库预测hsa-miR-34a的靶基因并取交集,通过TiGER数据库分析所得靶基因集在人体不同组织中的表达情况。利用PANTHER和DAVID在线工具对hsa-miR-34a的靶基因进行基因本体论(GO)富集分析和REACTOME信号通路富集分析。采用STRING数据库构建hsa-miR-34a的靶基因对应蛋白质的互作网络。结果 hsa-miR-34a在乳腺癌、前列腺癌、膀胱癌等肿瘤中表达显著降低。编码hsa-miR-34a的基因序列在不同物种间具有高度保守性。共获得225个靶基因,采用Target Score功能排序后取前30个靶基因。hsa-miR-34a各靶基因在不同组织间的相对表达量差异均无统计学意义(P>0.05)。GO富集分析结果显示,hsa-miR-34a靶基因集中表达于网格蛋白囊泡和囊泡膜及其物质转运、多细胞生物过程和发育、神经系统发生和发育、解剖结构发育等。REACTOME生物通路富集分析结果显示,hsa-miR-34a靶基因集中富集于B型和G型肉毒杆菌毒素毒性、信号素4D(Sema4D)介导的细胞黏附和迁移抑制、神经递质的合成和释放等生物信号通路。根据蛋白质互作网络对靶基因重新进行排序,排在前5位的蛋白质对应的靶基因分别为SYT1、VAMP2、METRRASCACNA1E结论 hsa-miR-34a与多种肿瘤的发生、发展有关,分析靶基因及其生物学功能,可为后续的临床和基础研究提供参考依据。

关键词: 微小RNA-34a, 生物信息学分析, 肿瘤, 靶基因, 功能富集, 信号通路富集

Abstract:

Objective To analyze the expression of homo sapiens microRNA(miR)-34a(hsa-miR-34a) in different tumors,to predict its target genes,and to analyze its biological function and mechanism. Methods Sequence was obtained from miRBase database to analyze the position of hsa-miR-34a in human genome and its conservation among species. TargetScan,miRWalk,miRDB and mirDIP were used to predict the target gene set of hsa-miR-34a and take the intersection,the expression of which in different human tissues was analyzed through TiGER database. Gene Ontology(GO) enrichment analysis and REACTOME signaling pathway enrichment analysis of hsa-miR-34a target genes were performed using PANTHER and DAVID online tools. The interaction network of hsa-miR-34a target genes corresponding to target proteins was constructed by STRING database. Results The expressions of hsa-miR-34a in breast cancer,prostate cancer,bladder cancer and other tumors were decreased. The sequence encoding hsa-miR-34a was highly conserved among different species. A total of 225 target genes were obtained,and the top 30 target genes were selected after Target Score functional sequencing. There was no statistical significance in the relative expression of target genes among different human tissues(P>0.05). GO enrichment analysis showed that hsa-miR-34a target genes were mainly expressed in clathrin vesicles,vesicle membranes and their material transport,multicellular biological processes and development,neurogenesis and development,anatomical structure development and so on. REACTOME signaling pathway enrichment analysis showed that hsa-miR-34a target genes were concentrated in biological signaling pathways such as botulinum toxin B and G toxicities,cell adhesion and migration inhibition mediated by semaphorin 4D(Sema4D) and the synthesis and release of neurotransmitters. The target genes were reordered according to the protein interaction network. The target genes corresponding to the top 5 proteins were SYT1,VAMP2,MET,RRAS and CACNA1E. Conclusions The hsa-miR-34a is related to the occurrence and development of a variety of tumors. The analysis of its target genes and biological functions can provide a reference for subsequent clinical and basic research.

Key words: MicroRNA-34a, Bioinformatics analysis, Tumor, Target gene, Functional enrichment, Signaling pathway enrichment

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