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基于微小RNA对新型冠状病毒肺炎中调节免疫表达基因及其转录因子的细胞因子的调控

MicroRNAs based regulation of cytokine regulating immune expressed genes and their transcription factors in COVID-19.

作者信息

Khokhar Manoj, Tomo Sojit, Purohit Purvi

机构信息

Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur 342005, India.

出版信息

Meta Gene. 2022 Feb;31:100990. doi: 10.1016/j.mgene.2021.100990. Epub 2021 Oct 26.

Abstract

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

背景

2019冠状病毒病的特征是多种炎症介质升高,这与不良疾病预后相关。我们旨在对这些炎症基因的调控微小RNA及其转录因子进行计算机分析,这可能有助于在未来制定潜在的治疗策略。

方法

从文献和基因表达综合数据库(GEO)微阵列数据集中筛选出调节免疫表达基因的细胞因子(CRIEG)。从公开可用的数据库中预测它们共同差异表达的微小RNA和转录因子。通过mienturnet、MiEAA、基因本体论以及由京都基因与基因组百科全书(KEGG)和Reactome通路预测的通路进行富集分析。最后,通过Cytoscape分析并可视化功能和调控特征。

结果

观察到16个CRIEG具有显著的蛋白质-蛋白质相互作用网络。本体分析揭示了生物过程、分子功能和细胞成分的显著富集通路。在微小RNA数据库中进行的搜索产生了10种微小RNA,它们显著参与调控这些基因及其转录因子。

结论

阐明了一个涉及微小RNA、CRIEG和转录因子的网络的计算机模拟图,这些因子参与了2019冠状病毒病的炎症反应。因此这些调控因子可能在2019冠状病毒病的炎症反应中具有潜在的关键作用,可能需要进一步探索以开发靶向治疗策略并进行机制验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b56/8547816/63c89b48cc46/gr1_lrg.jpg

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