Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Li, Yin, Yuan-Yuan, Liu, Cong-Hui, Xu, Ke-Ren, Li, Qing-Run, Wu, Jia-Rui, Zeng, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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
_version_ 1783575526401638400
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
work_keys_str_mv AT fengli proteomewidedataanalysisrevealstissuespecificnetworkassociatedwithsarscov2infection
AT yinyuanyuan proteomewidedataanalysisrevealstissuespecificnetworkassociatedwithsarscov2infection
AT liuconghui proteomewidedataanalysisrevealstissuespecificnetworkassociatedwithsarscov2infection
AT xukeren proteomewidedataanalysisrevealstissuespecificnetworkassociatedwithsarscov2infection
AT liqingrun proteomewidedataanalysisrevealstissuespecificnetworkassociatedwithsarscov2infection
AT wujiarui proteomewidedataanalysisrevealstissuespecificnetworkassociatedwithsarscov2infection
AT zengrong proteomewidedataanalysisrevealstissuespecificnetworkassociatedwithsarscov2infection