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Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2
Identification of transcriptional regulatory mechanisms and signaling networks involved in the response of host cells to infection by SARS-CoV-2 is a powerful approach that provides a systems biology view of gene expression programs involved in COVID-19 and may enable the identification of novel the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671548/ https://www.ncbi.nlm.nih.gov/pubmed/34907210 http://dx.doi.org/10.1038/s41598-021-03309-5 |
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author | Su, Chen Rousseau, Simon Emad, Amin |
author_facet | Su, Chen Rousseau, Simon Emad, Amin |
author_sort | Su, Chen |
collection | PubMed |
description | Identification of transcriptional regulatory mechanisms and signaling networks involved in the response of host cells to infection by SARS-CoV-2 is a powerful approach that provides a systems biology view of gene expression programs involved in COVID-19 and may enable the identification of novel therapeutic targets and strategies to mitigate the impact of this disease. In this study, our goal was to identify a transcriptional regulatory network that is associated with gene expression changes between samples infected by SARS-CoV-2 and those that are infected by other respiratory viruses to narrow the results on those enriched or specific to SARS-CoV-2. We combined a series of recently developed computational tools to identify transcriptional regulatory mechanisms involved in the response of epithelial cells to infection by SARS-CoV-2, and particularly regulatory mechanisms that are specific to this virus when compared to other viruses. In addition, using network-guided analyses, we identified kinases associated with this network. The results identified pathways associated with regulation of inflammation (MAPK14) and immunity (BTK, MBX) that may contribute to exacerbate organ damage linked with complications of COVID-19. The regulatory network identified herein reflects a combination of known hits and novel candidate pathways supporting the novel computational pipeline presented herein to quickly narrow down promising avenues of investigation when facing an emerging and novel disease such as COVID-19. |
format | Online Article Text |
id | pubmed-8671548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86715482021-12-16 Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2 Su, Chen Rousseau, Simon Emad, Amin Sci Rep Article Identification of transcriptional regulatory mechanisms and signaling networks involved in the response of host cells to infection by SARS-CoV-2 is a powerful approach that provides a systems biology view of gene expression programs involved in COVID-19 and may enable the identification of novel therapeutic targets and strategies to mitigate the impact of this disease. In this study, our goal was to identify a transcriptional regulatory network that is associated with gene expression changes between samples infected by SARS-CoV-2 and those that are infected by other respiratory viruses to narrow the results on those enriched or specific to SARS-CoV-2. We combined a series of recently developed computational tools to identify transcriptional regulatory mechanisms involved in the response of epithelial cells to infection by SARS-CoV-2, and particularly regulatory mechanisms that are specific to this virus when compared to other viruses. In addition, using network-guided analyses, we identified kinases associated with this network. The results identified pathways associated with regulation of inflammation (MAPK14) and immunity (BTK, MBX) that may contribute to exacerbate organ damage linked with complications of COVID-19. The regulatory network identified herein reflects a combination of known hits and novel candidate pathways supporting the novel computational pipeline presented herein to quickly narrow down promising avenues of investigation when facing an emerging and novel disease such as COVID-19. Nature Publishing Group UK 2021-12-14 /pmc/articles/PMC8671548/ /pubmed/34907210 http://dx.doi.org/10.1038/s41598-021-03309-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Su, Chen Rousseau, Simon Emad, Amin Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2 |
title | Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2 |
title_full | Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2 |
title_fullStr | Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2 |
title_full_unstemmed | Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2 |
title_short | Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2 |
title_sort | identification of transcriptional regulatory network associated with response of host epithelial cells to sars-cov-2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671548/ https://www.ncbi.nlm.nih.gov/pubmed/34907210 http://dx.doi.org/10.1038/s41598-021-03309-5 |
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