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 to understand how SARS-CoV-2 behaves in human host cells. However, little is known about the systematic molecular mechanisms involved in the effects of SARS-CoV-2 infection on human host cells. Here, we present gene-to-gene regulatory networks in response to SARS-CoV-2 using a Bayesian network. We examined the dynamic changes in the SARS-CoV-2-purturbated networks established by our proposed framework for gene network analysis, thus revealing that interferon signaling gradually switched to the subsequent inflammatory cytokine signaling cascades. Furthermore, we succeeded in capturing a COVID-19 patient-specific network in which transduction of these signals was concurrently induced. This enabled us to explore the 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 insights into SARS-CoV-2 research from the perspective of cellular systems.
【저자키워드】 Computational models, Gene regulatory networks, 【초록키워드】 COVID-19, SARS-CoV-2, pandemic, Bayesian, SARS-COV-2 infection, regulatory network, interferon, Local, cytokine, molecular mechanism, Regulatory, transduction, interferon signaling, Inflammatory cytokine, cellular, Analysis, gene network, host cells, host cell, characterization, Society, profile, Perspective, SARS-CoV-2 research, individual level, human host cells, signaling cascades, researcher, Effect, examined, caused, involved, subsequent, provided, changes in, addressed, 【제목키워드】 regulatory network, dynamic, changes in,