通过综合生物信息学分析构建miRNA-mRNA调控网络以识别婴儿血管瘤的潜在生物标志物

IF 1.5 4区 医学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Boming Zhao, Bin Li, Jun Zhang, Yongjian Qi, Biao Chen, Liaobin Chen
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引用次数: 0

摘要

婴儿血管瘤是婴幼儿最常见的血管性肿瘤。然而,对IH发病机制的理解尚未完全阐明,潜在的诊断工具仍有待进一步探索。在这项研究中,我们旨在通过生物信息学分析寻找mirna作为IH的潜在生物标志物。从GEO数据库下载微阵列数据集GSE69136、GSE100682。通过分析这两个数据集,鉴定了共表达的差异mirna。下游常见靶基因通过ENCORI、Mirgene、miRWalk和Targetscan数据库进行预测。对靶基因进行GO注释和KEGG通路富集分析。利用STRING数据库和Cytoscape软件构建蛋白-蛋白相互作用网络,筛选枢纽基因。然后通过Receiver operating characteristic curve分析进一步筛选和鉴定潜在的IH诊断标志物。在上述两个数据集中共筛选出13个共表达上调mirna,进而预测778个下调靶基因。GO注释和KEGG通路富集分析表明,共同靶基因与IH密切相关。通过DEM-hub基因网络构建,鉴定出6个与hub基因相关的mirna。最后通过受试者工作特征分析筛选出具有较高诊断价值的has-miR-522-3p、has-miR-512-3p、has-miR-520a-5p。本研究首次在IH中构建了潜在的miRNA-mRNA调控网络。这3种mirna可能作为IH的潜在生物标志物,也为IH的治疗干预提供了新的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of miRNA-mRNA Regulatory Network to Identify Potential Biomarkers in Infantile Hemangioma by Integrated Bioinformatics Analysis.
Infantile hemangioma (IH) is the most common vascular tumor among infants and children. However, the understanding of pathogenesis about IH has not been fully elucidated, and the potential diagnostic maker remains further explored. In this study, we aimed to find miRNAs as potential biomarkers of IH through bioinformatic analysis. The microarray datasets GSE69136, GSE100682 were downloaded from the GEO database. The co-expressed differential miRNAs were identified by analyzing these two datasets. The downstream common target genes were predicted by the ENCORI, Mirgene, miRWalk, and Targetscan databases. GO annotation and KEGG pathway enrichment analysis for target genes were performed. The STRING database and Cytoscape software were used to construct the protein-protein interaction network and screen hub genes. Then potential diagnostic markers for IH were further screened and identified by using Receiver operating characteristic curve analysis. A total of thirteen co-expressed up-regulated miRNAs were screened out in the above two datasets, and 778 down-regulated target genes were then predicted. GO annotation and KEGG pathway enrichment analysis indicated that the common target genes strongly correlated with IH. Through the DEM-hub gene network construction, six miRNAs associated with the hub genes were identified. Finally, has-miR-522-3p, has-miR-512-3p, has-miR-520a-5p with high diagnostic values were screened out by receiver operating characteristic analysis. In the study, the potential miRNA-mRNA regulatory network was firstly constructed in IH. And, the three miRNAs might be used as potential biomarkers for IH, which also provided novel strategies for the therapeutic intervention of IH.
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来源期刊
Critical Reviews in Eukaryotic Gene Expression
Critical Reviews in Eukaryotic Gene Expression 生物-生物工程与应用微生物
CiteScore
2.70
自引率
0.00%
发文量
67
审稿时长
1 months
期刊介绍: Critical ReviewsTM in Eukaryotic Gene Expression presents timely concepts and experimental approaches that are contributing to rapid advances in our mechanistic understanding of gene regulation, organization, and structure within the contexts of biological control and the diagnosis/treatment of disease. The journal provides in-depth critical reviews, on well-defined topics of immediate interest, written by recognized specialists in the field. Extensive literature citations provide a comprehensive information resource. Reviews are developed from an historical perspective and suggest directions that can be anticipated. Strengths as well as limitations of methodologies and experimental strategies are considered.
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