与COVID-19疾病相关的多器官系统的蛋白质相互作用图

Q2 Agricultural and Biological Sciences Genomics and Informatics Pub Date : 2021-06-01 Epub Date: 2021-06-30 DOI:10.5808/gi.20078
Dhammapal Bharne
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引用次数: 2

摘要

2019冠状病毒病(COVID-19)是一种持续的大流行疾病,感染了全球数百万人。最近关于抗体水平下降和疾病在康复患者中重新出现的报告,使我们有必要从核心层面了解这一流行病。多器官衰竭的病例强调了在治疗疾病时对不同器官系统的考虑。本研究利用RNA测序数据来确定几种器官系统中与疾病相关的差异调节基因及其相关蛋白的相互作用。提示早期诊断和治疗的重要性。构建了多器官系统蛋白相互作用图谱,发现CAV1和CTNNB1为最高度节点。分析了核心交互子网络,以识别功能重要的不同模块。AR, CTNNB1, CAV1和PIK3R1蛋白被展开为连接不同模块的桥接节点,以实现跨几种途径的信息流。本研究还重点分析了针对COVID-19大流行的药物再利用策略中的一些可药物靶点。因此,蛋白质相互作用图谱和多器官系统中差异调控基因的模块化相互作用将有助于科学家和研究人员迅速探索新冠肺炎大流行的新疗法。
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A protein interactions map of multiple organ systems associated with COVID-19 disease.

Coronavirus disease 2019 (COVID-19) is an on-going pandemic disease infecting millions of people across the globe. Recent reports of reduction in antibody levels and the re-emergence of the disease in recovered patients necessitated the understanding of the pandemic at the core level. The cases of multiple organ failures emphasized the consideration of different organ systems while managing the disease. The present study employed RNA sequencing data to determine the disease associated differentially regulated genes and their related protein interactions in several organ systems. It signified the importance of early diagnosis and treatment of the disease. A map of protein interactions of multiple organ systems was built and uncovered CAV1 and CTNNB1 as the top degree nodes. A core interactions sub-network was analyzed to identify different modules of functional significance. AR, CTNNB1, CAV1, and PIK3R1 proteins were unfolded as bridging nodes interconnecting different modules for the information flow across several pathways. The present study also highlighted some of the druggable targets to analyze in drug re-purposing strategies against the COVID-19 pandemic. Therefore, the protein interactions map and the modular interactions of the differentially regulated genes in the multiple organ systems would incline the scientists and researchers to investigate in novel therapeutics for the COVID-19 pandemic expeditiously.

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来源期刊
Genomics and Informatics
Genomics and Informatics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
12 weeks
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