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Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19
The COVID-19 has led to a devastating global health crisis, which emphasizes the urgent need to deepen our understanding of the molecular mechanism and identifying potential antiviral drugs. Here, we comprehensively analyzed the transcriptomic and proteomic profiles of 178 COVID-19 patients, ranging...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916187/ https://www.ncbi.nlm.nih.gov/pubmed/36805221 http://dx.doi.org/10.1016/j.compbiomed.2023.106651 |
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author | Pan, Jiwei Gao, Yueying Han, Huirui Pan, Tao Guo, Jing Li, Si Xu, Juan Li, Yongsheng |
author_facet | Pan, Jiwei Gao, Yueying Han, Huirui Pan, Tao Guo, Jing Li, Si Xu, Juan Li, Yongsheng |
author_sort | Pan, Jiwei |
collection | PubMed |
description | The COVID-19 has led to a devastating global health crisis, which emphasizes the urgent need to deepen our understanding of the molecular mechanism and identifying potential antiviral drugs. Here, we comprehensively analyzed the transcriptomic and proteomic profiles of 178 COVID-19 patients, ranging from asymptomatic to critically ill. Our analyses found that the RNA binding proteins (RBPs) were likely to be perturbed in infection. Interactome analysis revealed that RBPs interact with virus proteins and the viral interacting RBPs were likely to locate in central regions of human protein-protein interaction network. Functional enrichment analysis revealed that the viral interacting RBPs were likely to be enriched in RNA transport, apoptosis and viral genome replication-related pathways. Based on network proximity analyses of 299 human complex-disease genes and COVID-19-related RBPs in the human interactome, we revealed the significant associations between complex diseases and COVID-19. Network analysis also implicated potential antiviral drugs for treatment of COVID-19. In summary, our integrative characterization of COVID-19 patients may thus help providing evidence regarding pathophysiology and potential therapeutic strategies for COVID-19. |
format | Online Article Text |
id | pubmed-9916187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99161872023-02-13 Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19 Pan, Jiwei Gao, Yueying Han, Huirui Pan, Tao Guo, Jing Li, Si Xu, Juan Li, Yongsheng Comput Biol Med Article The COVID-19 has led to a devastating global health crisis, which emphasizes the urgent need to deepen our understanding of the molecular mechanism and identifying potential antiviral drugs. Here, we comprehensively analyzed the transcriptomic and proteomic profiles of 178 COVID-19 patients, ranging from asymptomatic to critically ill. Our analyses found that the RNA binding proteins (RBPs) were likely to be perturbed in infection. Interactome analysis revealed that RBPs interact with virus proteins and the viral interacting RBPs were likely to locate in central regions of human protein-protein interaction network. Functional enrichment analysis revealed that the viral interacting RBPs were likely to be enriched in RNA transport, apoptosis and viral genome replication-related pathways. Based on network proximity analyses of 299 human complex-disease genes and COVID-19-related RBPs in the human interactome, we revealed the significant associations between complex diseases and COVID-19. Network analysis also implicated potential antiviral drugs for treatment of COVID-19. In summary, our integrative characterization of COVID-19 patients may thus help providing evidence regarding pathophysiology and potential therapeutic strategies for COVID-19. The Authors. Published by Elsevier Ltd. 2023-03 2023-02-10 /pmc/articles/PMC9916187/ /pubmed/36805221 http://dx.doi.org/10.1016/j.compbiomed.2023.106651 Text en © 2023 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Pan, Jiwei Gao, Yueying Han, Huirui Pan, Tao Guo, Jing Li, Si Xu, Juan Li, Yongsheng Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19 |
title | Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19 |
title_full | Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19 |
title_fullStr | Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19 |
title_full_unstemmed | Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19 |
title_short | Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19 |
title_sort | multi-omics characterization of rna binding proteins reveals disease comorbidities and potential drugs in covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916187/ https://www.ncbi.nlm.nih.gov/pubmed/36805221 http://dx.doi.org/10.1016/j.compbiomed.2023.106651 |
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