Suppr超能文献

利用生物信息学分析确定新冠病毒在血细胞中的功能作用和靶点

Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses.

作者信息

Sohn Eun Jung

机构信息

Department of Oral Pathology, School of Dentistry, Pusan National University, Yangsan, South Korea.

出版信息

Bioinform Biol Insights. 2022 Feb 23;16:11779322221080266. doi: 10.1177/11779322221080266. eCollection 2022.

Abstract

BACKGROUND

Coronavirus disease 2019 (COVID-19), caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a global epidemic with a high mortality rate. In this study, our goal was to identify the function and associated targets of SARS-CoV-2 from circulating monocytes in the blood and peripheral blood mononuclear cell (PBMC) dataset of patients with COVID-19.

METHODS

The Gene Expression Omnibus database (GSE164805 and GSE180594) was used to identify differentially expressed genes (DEGs). Gene ontology function analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of the DEGs were performed using the DAVID database.

RESULTS

Gene ontology analysis of DEG revealed that GSE164805 and GSE180594 were involved in the regulation of cell migration, upregulation of cell proliferation, and in the activation of the mitogen-activated protein kinase signaling pathway. Kyoto Encyclopedia of Genes and Genomes analysis of GSE164805 revealed that the DEGs were enriched in peroxisome, melanogenesis, and actin regulation. Peroxisome genes were highly expressed in patients with mild and severe COVID-19. Bioinformatics analysis to compare GSE180594 and public data for the single-cell atlas of the peripheral immune response in patients with COVID-19 showed that interferon-associated genes were highly increased in acute COVID-19 PBMC and in CD14+ and CD16+ monocytes from patients with COVID-19.

CONCLUSIONS

We comprehensively analyzed the blood cell gene expression profile data of patients with COVID-19 using bioinformatics methods to preliminary understand the functions and associated targets of DEGs in the blood cells of these patients. Thus, our data provide targets for potential therapies against COVID-19.

摘要

背景

2019年冠状病毒病(COVID-19)由新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起,是一种死亡率很高的全球流行病。在本研究中,我们的目标是从COVID-19患者的血液循环单核细胞和外周血单核细胞(PBMC)数据集中鉴定SARS-CoV-2的功能及相关靶点。

方法

使用基因表达综合数据库(GSE164805和GSE180594)鉴定差异表达基因(DEG)。使用DAVID数据库对DEG进行基因本体功能分析和京都基因与基因组百科全书通路富集分析。

结果

DEG的基因本体分析显示,GSE164805和GSE180594参与细胞迁移调节、细胞增殖上调以及丝裂原活化蛋白激酶信号通路的激活。对GSE164805的京都基因与基因组百科全书分析显示,DEG在过氧化物酶体、黑色素生成和肌动蛋白调节中富集。过氧化物酶体基因在轻度和重度COVID-19患者中高度表达。比较GSE180594与COVID-19患者外周免疫反应单细胞图谱公共数据的生物信息学分析表明,急性COVID-19 PBMC以及COVID-19患者的CD14+和CD16+单核细胞中干扰素相关基因高度增加。

结论

我们使用生物信息学方法全面分析了COVID-19患者的血细胞基因表达谱数据,以初步了解这些患者血细胞中DEG的功能和相关靶点。因此,我们的数据为针对COVID-19的潜在治疗提供了靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af42/8874192/eb27e660b073/10.1177_11779322221080266-fig1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验