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Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses

BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a global epidemic with a high mortality rate. In this study, our goal was to identify the function and associated targets of SARS-CoV-2 from circulating monocytes in the...

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Autor principal: Sohn, Eun Jung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874192/
https://www.ncbi.nlm.nih.gov/pubmed/35221679
http://dx.doi.org/10.1177/11779322221080266
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author Sohn, Eun Jung
author_facet Sohn, Eun Jung
author_sort Sohn, Eun Jung
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a global epidemic with a high mortality rate. In this study, our goal was to identify the function and associated targets of SARS-CoV-2 from circulating monocytes in the blood and peripheral blood mononuclear cell (PBMC) dataset of patients with COVID-19. METHODS: The Gene Expression Omnibus database (GSE164805 and GSE180594) was used to identify differentially expressed genes (DEGs). Gene ontology function analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of the DEGs were performed using the DAVID database. RESULTS: Gene ontology analysis of DEG revealed that GSE164805 and GSE180594 were involved in the regulation of cell migration, upregulation of cell proliferation, and in the activation of the mitogen-activated protein kinase signaling pathway. Kyoto Encyclopedia of Genes and Genomes analysis of GSE164805 revealed that the DEGs were enriched in peroxisome, melanogenesis, and actin regulation. Peroxisome genes were highly expressed in patients with mild and severe COVID-19. Bioinformatics analysis to compare GSE180594 and public data for the single-cell atlas of the peripheral immune response in patients with COVID-19 showed that interferon-associated genes were highly increased in acute COVID-19 PBMC and in CD14+ and CD16+ monocytes from patients with COVID-19. CONCLUSIONS: We comprehensively analyzed the blood cell gene expression profile data of patients with COVID-19 using bioinformatics methods to preliminary understand the functions and associated targets of DEGs in the blood cells of these patients. Thus, our data provide targets for potential therapies against COVID-19.
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spelling pubmed-88741922022-02-26 Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses Sohn, Eun Jung Bioinform Biol Insights Original Research BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a global epidemic with a high mortality rate. In this study, our goal was to identify the function and associated targets of SARS-CoV-2 from circulating monocytes in the blood and peripheral blood mononuclear cell (PBMC) dataset of patients with COVID-19. METHODS: The Gene Expression Omnibus database (GSE164805 and GSE180594) was used to identify differentially expressed genes (DEGs). Gene ontology function analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of the DEGs were performed using the DAVID database. RESULTS: Gene ontology analysis of DEG revealed that GSE164805 and GSE180594 were involved in the regulation of cell migration, upregulation of cell proliferation, and in the activation of the mitogen-activated protein kinase signaling pathway. Kyoto Encyclopedia of Genes and Genomes analysis of GSE164805 revealed that the DEGs were enriched in peroxisome, melanogenesis, and actin regulation. Peroxisome genes were highly expressed in patients with mild and severe COVID-19. Bioinformatics analysis to compare GSE180594 and public data for the single-cell atlas of the peripheral immune response in patients with COVID-19 showed that interferon-associated genes were highly increased in acute COVID-19 PBMC and in CD14+ and CD16+ monocytes from patients with COVID-19. CONCLUSIONS: We comprehensively analyzed the blood cell gene expression profile data of patients with COVID-19 using bioinformatics methods to preliminary understand the functions and associated targets of DEGs in the blood cells of these patients. Thus, our data provide targets for potential therapies against COVID-19. SAGE Publications 2022-02-23 /pmc/articles/PMC8874192/ /pubmed/35221679 http://dx.doi.org/10.1177/11779322221080266 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Sohn, Eun Jung
Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses
title Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses
title_full Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses
title_fullStr Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses
title_full_unstemmed Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses
title_short Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses
title_sort functional roles and targets of covid-19 in blood cells determined using bioinformatics analyses
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874192/
https://www.ncbi.nlm.nih.gov/pubmed/35221679
http://dx.doi.org/10.1177/11779322221080266
work_keys_str_mv AT sohneunjung functionalrolesandtargetsofcovid19inbloodcellsdeterminedusingbioinformaticsanalyses