■2019年冠状病毒病的特征是与不良疾病预后相关的广谱炎症介质升高。我们旨在对这些炎症基因的调节性microRNA及其转录因子(TF)进行计算机分析,这可能有助于将来设计潜在的治疗策略。
■细胞因子调节免疫表达基因(CRIEG)从文献和GEO微阵列数据集中分类。它们共同差异表达的miRNA和转录因子从公开可用的数据库中预测。富集分析是通过mienturnet进行的,MiEAA,基因本体论,以及KEGG和Reactome途径预测的途径。最后,通过Cytoscape分析和可视化功能和调节特征。
■观察到16个CRIEG具有显着的蛋白质-蛋白质相互作用网络。本体论分析揭示了生物过程的显着丰富的途径,分子功能,和细胞成分。在miRNA数据库中进行的搜索产生了10个显著参与调控这些基因及其转录因子的miRNA。
■涉及miRNA的网络的计算机内表示,CRIEGs,TF,参与COVID-19炎症反应的物质已得到阐明。因此,这些调节因子可能在COVID-19的炎症反应中具有潜在的关键作用,可以进一步探索以制定有针对性的治疗策略和机制验证.
UNASSIGNED: Coronavirus disease 2019 is characterized by the elevation of a broad spectrum of inflammatory mediators associated with poor disease outcomes. We aimed at an in-silico analysis of regulatory microRNA and their transcription factors (TF) for these inflammatory genes that may help to devise potential therapeutic strategies in the future.
UNASSIGNED: The cytokine regulating immune-expressed genes (CRIEG) were sorted from literature and the GEO microarray dataset. Their co-differentially expressed miRNA and transcription factors were predicted from publicly available databases. Enrichment analysis was done through mienturnet, MiEAA, Gene Ontology, and pathways predicted by KEGG and Reactome pathways. Finally, the functional and regulatory features were analyzed and visualized through Cytoscape.
UNASSIGNED: Sixteen CRIEG were observed to have a significant protein-protein interaction network. The ontological analysis revealed significantly enriched pathways for biological processes, molecular functions, and cellular components. The search performed in the miRNA database yielded ten miRNAs that are significantly involved in regulating these genes and their transcription factors.
UNASSIGNED: An in-silico representation of a network involving miRNAs, CRIEGs, and TF, which take part in the inflammatory response in COVID-19, has been elucidated. Thus, these regulatory factors may have potentially critical roles in the inflammatory response in COVID-19 and may be explored further to develop targeted therapeutic strategies and mechanistic validation.