论文标题
响应SARS-COV-2感染的基因到基因调节网络的动态变化
Dynamic change of gene-to-gene regulatory networks in response to SARS-CoV-2 infection
论文作者
论文摘要
SARS-COV-2的当前大流行对社会造成了广泛的破坏。全球研究人员已经解决了SARS-COV-2概况的表征，目的是解决这一颠覆性危机。对于理解SARS-COV-2在人类宿主细胞中的表现是必不可少的。然而，关于SARS-COV-2感染对人宿主细胞的影响的系统分子机制知之甚少。在这里，我们使用贝叶斯网络对SARS-COV-2响应基因到基因的调节网络。我们检查了我们提出的基因网络分析框架建立的SARS-COV-2-Purttated网络的动态变化，表明干扰素信号逐渐切换到随后的炎症 - 偶然动物信号级联。此外，我们成功地捕获了一个共同的19个患者特异性网络，其中这些信号的转导相符合诱导。这使我们能够更精确地探索受宿主细胞中SARS-COV-2影响的本地监管系统。从细胞系统的角度来看，我们的网络分析小组为SARS-COV-2研究提供了新的见解。
The current pandemic of SARS-CoV-2 has caused extensive damage to society. The characterization of SARS-CoV-2 profiles has been addressed by researchers globally with the aim of resolving this disruptive crisis. This investigation process is indispensable for an understanding of how SARS-CoV-2 behaves in human host cells. However, little is known about the systematic molecular mechanisms involved in the effect of SARS-CoV-2 infection on human host cells. Here, we have presented gene-to-gene regulatory networks in response to SARS-CoV-2 using a Bayesian network. We examined the dynamic changes of the SARS-CoV-2-purturbated networks established by our proposed framework for gene network analysis, revealing that interferon signaling gradually switches to the subsequent inflammatory-cytokine signaling cascades. Furthermore, we have succeeded in capturing a COVID-19 patient-specific network in which transduction of these signalings is coincidently induced. This enabled us to explore local regulatory systems influenced by SARS-CoV-2 in host cells more precisely at an individual level. Our panel of network analyses has provided new insight into SARS-CoV-2 research from the perspective of cellular systems.
