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About:
Dynamic change of gene-to-gene regulatory networks in response to SARS-CoV-2 infection
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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Covid-on-the-Web dataset
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
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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.
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2020-08-21
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arxiv
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25d5a57094c636c9b3b5893e08a1f96ec4d1e72a
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Dynamic change of gene-to-gene regulatory networks in response to SARS-CoV-2 infection
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