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Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection
For patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the damages to multiple organs have been clinically observed. Since most of current investigations for virus–host interaction are based on cell level, there is an urgent demand to probe tissue-specific...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454804/ https://www.ncbi.nlm.nih.gov/pubmed/32642770 http://dx.doi.org/10.1093/jmcb/mjaa033 |
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author | Feng, Li Yin, Yuan-Yuan Liu, Cong-Hui Xu, Ke-Ren Li, Qing-Run Wu, Jia-Rui Zeng, Rong |
author_facet | Feng, Li Yin, Yuan-Yuan Liu, Cong-Hui Xu, Ke-Ren Li, Qing-Run Wu, Jia-Rui Zeng, Rong |
author_sort | Feng, Li |
collection | PubMed |
description | For patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the damages to multiple organs have been clinically observed. Since most of current investigations for virus–host interaction are based on cell level, there is an urgent demand to probe tissue-specific features associated with SARS-CoV-2 infection. Based on collected proteomic datasets from human lung, colon, kidney, liver, and heart, we constructed a virus-receptor network, a virus-interaction network, and a virus-perturbation network. In the tissue-specific networks associated with virus–host crosstalk, both common and different key hubs are revealed in diverse tissues. Ubiquitous hubs in multiple tissues such as BRD4 and RIPK1 would be promising drug targets to rescue multi-organ injury and deal with inflammation. Certain tissue-unique hubs such as REEP5 might mediate specific olfactory dysfunction. The present analysis implies that SARS-CoV-2 could affect multi-targets in diverse host tissues, and the treatment of COVID-19 would be a complex task. |
format | Online Article Text |
id | pubmed-7454804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74548042020-08-31 Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection Feng, Li Yin, Yuan-Yuan Liu, Cong-Hui Xu, Ke-Ren Li, Qing-Run Wu, Jia-Rui Zeng, Rong J Mol Cell Biol Articles For patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the damages to multiple organs have been clinically observed. Since most of current investigations for virus–host interaction are based on cell level, there is an urgent demand to probe tissue-specific features associated with SARS-CoV-2 infection. Based on collected proteomic datasets from human lung, colon, kidney, liver, and heart, we constructed a virus-receptor network, a virus-interaction network, and a virus-perturbation network. In the tissue-specific networks associated with virus–host crosstalk, both common and different key hubs are revealed in diverse tissues. Ubiquitous hubs in multiple tissues such as BRD4 and RIPK1 would be promising drug targets to rescue multi-organ injury and deal with inflammation. Certain tissue-unique hubs such as REEP5 might mediate specific olfactory dysfunction. The present analysis implies that SARS-CoV-2 could affect multi-targets in diverse host tissues, and the treatment of COVID-19 would be a complex task. Oxford University Press 2020-07-08 /pmc/articles/PMC7454804/ /pubmed/32642770 http://dx.doi.org/10.1093/jmcb/mjaa033 Text en © The Author(s) (2020). Published by Oxford University Press on behalf of Journal of Molecular Cell Biology, IBCB, SIBS, CAS. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Articles Feng, Li Yin, Yuan-Yuan Liu, Cong-Hui Xu, Ke-Ren Li, Qing-Run Wu, Jia-Rui Zeng, Rong Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection |
title | Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection |
title_full | Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection |
title_fullStr | Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection |
title_full_unstemmed | Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection |
title_short | Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection |
title_sort | proteome-wide data analysis reveals tissue-specific network associated with sars-cov-2 infection |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454804/ https://www.ncbi.nlm.nih.gov/pubmed/32642770 http://dx.doi.org/10.1093/jmcb/mjaa033 |
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