Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Unimed Scientific Inc. Wuxi, Wuxi, China.
Pol J Microbiol. 2020 Dec;69(4):479-490. doi: 10.33073/pjm-2020-052. Epub 2020 Dec 27.
To clarify crucial key micro-RNAs and mRNAs associated with hand, foot, and mouth disease (HFMD) virus infection, we conducted this bioinformatics analysis from four GEO datasets. The following datasets were used for the analysis: GSE85829, GSE94551, GSE52780, and GSE45589. Differentially expressed genes (DEGs) were acquired, and the analysis of functional and pathway enrichment and the relative regulatory network were conducted. After screening common differentially expressed miRNAs (DE-miRNAs), five key miRNAs were acquired: miR-100-3p, miR-125a-3p, miR-1273g-3p, miR-5585-3p, and miR-671-5p. There were three common enriched GO terms between miRNA-derived prediction and mRNA-derived analysis: biosynthetic process, cytosol, and nucleoplasm. There was one common KEGG pathway, i.e., cell cycle shared between miRNA-based and mRNA-based enrichment. Using TarBase V8 in DIANA tools, we acquired 1,520 potential targets (mRNA) from the five key DE-miRNAs, among which the159 DE-mRNAs also included 11 DEGs. These common DEGs showed a PPI network mainly connected by SMC1A, SMARCC1, SF3B3, LIG1, and BRMS1L. Together, changes in five key miRNAs and 11 key mRNAs may play crucial roles in HFMD progression. A combination of these roles may benefit the early diagnosis and treatment of HFMD.
为了阐明与手足口病(HFMD)病毒感染相关的关键微小 RNA(miRNA)和信使 RNA(mRNA),我们从四个 GEO 数据集进行了这项生物信息学分析。使用了以下数据集进行分析:GSE85829、GSE94551、GSE52780 和 GSE45589。获取差异表达基因(DEGs),并进行功能和通路富集分析以及相对调控网络分析。筛选出常见的差异表达 miRNA(DE-miRNA)后,获得了五个关键 miRNA:miR-100-3p、miR-125a-3p、miR-1273g-3p、miR-5585-3p 和 miR-671-5p。miRNA 衍生预测和 mRNA 衍生分析之间有三个共同的富集 GO 术语:生物合成过程、细胞质和核质。有一个共同的 KEGG 通路,即 miRNA 基和 mRNA 基富集之间共享的细胞周期。在 DIANA tools 的 TarBase V8 中,我们从五个关键 DE-miRNA 中获得了 1520 个潜在靶标(mRNA),其中 159 个 DE-mRNA 也包括 11 个 DEG。这些常见的 DEG 显示出一个主要由 SMC1A、SMARCC1、SF3B3、LIG1 和 BRMS1L 连接的 PPI 网络。总之,五个关键 miRNA 和 11 个关键 mRNA 的变化可能在手口足病的进展中起关键作用。这些作用的结合可能有助于手足口病的早期诊断和治疗。