About: Dynamic change of gene-to-gene regulatory networks in response to SARS-CoV-2 infection

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About: Dynamic change of gene-to-gene regulatory networks in response to SARS-CoV-2 infection Goto Sponge NotDistinct Permalink

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Dynamic change of gene-to-gene regulatory networks in response to SARS-CoV-2 infection
Creator	Higashihara, Kako Nakazawa, Mai Okuno, Yasushi Tamada, Yoshinori Tanaka, Yoshihisa Yamashita, Fumiyoshi
Source	ArXiv
abstract	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.
has issue date	2020-08-21(xsd:dateTime)
has license	arxiv
sha1sum (hex)	25d5a57094c636c9b3b5893e08a1f96ec4d1e72a
resource representing a document's title	Dynamic change of gene-to-gene regulatory networks in response to SARS-CoV-2 infection
resource representing a document's body	covid:25d5a57094c636c9b3b5893e08a1f96ec4d1e72a#body_text
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