摘要： 目的 运用生物信息学方法分析构建E2F1对微RNA （miRNA）的转录调控进而影响下游靶基因mRNA的转录因子网络，从而探讨E2F1通过miRNA参与肿瘤发生发展的机制。方法 基于TCGA数据库筛选存在E2F1上调表达的肿瘤组，检索存在E2F1差异表达的20种肿瘤组织中差异表达的miRNAs。分析差异表达miRNAs的靶基因，并与差异表达mRNAs取交集以构建E2F1-miRNA-mRNA调控网络，对靶基因进行富集分析（GO）和京都基因与基因组百科全书（KEGG）分析，构建蛋白质相互作用网络，讨论E2F1调控miRNA及其靶基因，进而影响肿瘤发生发展的生物机制。结果 通过生物信息学方法分析构建的TF-miRNA-mRNA调控网络，展现了miR-7，miR-9，miR-17，miR-21，miR-22，miR-24并调节micoRNA in cancer信号通路。结论 E2F1转录因子在多种癌症中起促癌作用，本研究为泛基因组癌症的早诊与设计治疗药物提供了潜在的靶点。

基于生物信息学分析构建转录因子E2F1调控微RNA及其靶向基因网络

朱文韬, 曲浩宁, 何群

中国医科大学生命科学学院生物信息教研室, 沈阳 110122

收稿日期:2021-04-25出版日期:2022-03-30发布日期:2022-03-16
通讯作者:何群E-mail:qunh@cmu.edu.cn
作者简介:朱文韬(1999-),男,本科在读.
基金资助:辽宁省大学生创新创业基金（S202010159033）


关键词: 泛基因组, E2F1, miRNA, mRNA, 调控网络
Abstract: Objective Research has revealed the mechanisms by which the E2F1 transportation factor participates in oncogene expression and results in cancer development through the TF-miRNA regulatory network. Comprehensive bioinformatics analysis methods were applied to predict the E2F1 downstream genes and construct a transcription network. Methods TCGA databases were used to determine the types of cancers with potential differential E2F1 expression. Based on the results, differently expressed miRNAs and mRNAs in tissues were predicted and ontology(GO)/KEGG enrichment analyses were performed in the TF-miRNA-mRNA regulatory network. In addition, core genes were selectively analyzed in the protein-protein interaction network and their functions were explored relative to cancer development. Results The results have illustrated that the TF-miRNA-mRNA regulatory network plays a significant role in cancer development through the activation of"microRNA in cancer" signaling pathway, including miR-7,miR-9,miR-17,miR-21,miR-22,miR-24,are regulated by transportation factor E2F1. Conclusion E2F1 transcription factor is involved in the regulation of signaling pathway. The research provide potential targets for clinical diagnosis and therapeutic drugs design for pan-genomic cancer treatment.
Key words: pan-genome, E2F1, miRNA, mRNA, regulatory network
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