Comprehensive investigation of RNA-sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-08-05 DOI:10.1049/syb2.12034

Wangsheng Deng, Jiaxing Zeng, Shunyu Lu, Chaoqian Li

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引用次数: 3

Abstract

The goal of this study is to reveal the hub genes and molecular mechanisms of the coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS) based on the genome-wide RNA sequencing dataset. The RNA sequencing dataset of COVID-19 ARDS was obtained from GSE163426. A total of 270 differentially expressed genes (DEGs) were identified between COVID-19 ARDS and control group patients. Functional enrichment analysis of DEGs suggests that these DEGs may be involved in the following biological processes: response to cytokine, G-protein coupled receptor activity, ionotropic glutamate receptor signalling pathway and G-protein coupled receptor signalling pathway. By using the weighted correlation network analysis approach to analyse these DEGs, 10 hub DEGs that may play an important role in COVID-19 ARDS were identified. A total of 67 potential COVID-19 ARDS targetted drugs were identified by a complement map analysis. Immune cell infiltration analysis revealed that the levels of T cells CD4 naive, T cells follicular helper, macrophages M1 and eosinophils in COVID-19 ARDS patients were significantly different from those in control group patients. In conclusion, this study identified 10 COVID-19 ARDS-related hub DEGs and numerous potential molecular mechanisms through a comprehensive analysis of the RNA sequencing dataset and also revealed the difference in immune cell infiltration of COVID-19 ARDS.

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综合rna测序数据揭示2019冠状病毒病急性呼吸窘迫综合征枢纽基因及分子机制

本研究旨在基于全基因组RNA测序数据揭示2019冠状病毒病(COVID-19)急性呼吸窘迫综合征(ARDS)的枢纽基因和分子机制。COVID-19 ARDS的RNA测序数据集来自GSE163426。在COVID-19 ARDS患者与对照组患者之间共鉴定出270个差异表达基因(DEGs)。DEGs的功能富集分析表明，这些DEGs可能参与细胞因子应答、g蛋白偶联受体活性、嗜离子性谷氨酸受体信号通路和g蛋白偶联受体信号通路等生物学过程。采用加权相关网络分析方法对这些deg进行分析，鉴定出10个可能在COVID-19 ARDS中起重要作用的枢纽deg。通过补体图谱分析，共鉴定出67种潜在的COVID-19 ARDS靶向药物。免疫细胞浸润分析显示，COVID-19 ARDS患者的T细胞CD4 naive、T细胞滤泡辅助细胞、巨噬细胞M1和嗜酸性粒细胞水平与对照组相比有显著差异。综上所述，本研究通过对RNA测序数据的综合分析，确定了10个与COVID-19 - ARDS相关的枢纽DEGs和许多潜在的分子机制，并揭示了COVID-19 - ARDS免疫细胞浸润的差异。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.