Integrative web-based analysis of omics data for study of drugs against SARS-CoV-2

Abstract Research on drugs against SARS-CoV-2 (cause of COVID-19) has been one of the major world concerns at present. There have been abundant research data and findings in this field. The interference of drugs on gene expression in cell lines, drug-target, protein-virus receptor networks, and immu...

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Autores principales: ZhiGang Wang, YongQun He, Jing Huang, XiaoLin Yang
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:b6d90e2a3b1d498fa95c0cf72deb2d652021-12-02T14:42:00ZIntegrative web-based analysis of omics data for study of drugs against SARS-CoV-210.1038/s41598-021-89578-62045-2322https://doaj.org/article/b6d90e2a3b1d498fa95c0cf72deb2d652021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89578-6https://doaj.org/toc/2045-2322Abstract Research on drugs against SARS-CoV-2 (cause of COVID-19) has been one of the major world concerns at present. There have been abundant research data and findings in this field. The interference of drugs on gene expression in cell lines, drug-target, protein-virus receptor networks, and immune cell infiltration of the host may provide useful information for anti-SARS-CoV-2 drug research. To simplify the complex bioinformatics analysis and facilitate the evaluation of the latest research data, we developed OmiczViz ( http://medcode.link/omicsviz ), a web tool that has integrated drug-cell line interference data, virus-host protein–protein interactions, and drug-target interactions. To demonstrate the usages of OmiczViz, we analyzed the gene expression data from cell lines treated with chloroquine and ruxolitinib, the drug-target protein networks of 48 anti-coronavirus drugs and drugs bound with ACE2, and the profiles of immune cell infiltration between different COVID-19 patient groups. Our research shows that chloroquine had a regulatory role of the immune response in renal cell line but not in lung cell line. The anti-coronavirus drug-target network analysis suggested that antihistamine of promethaziney and dietary supplement of Zinc might be beneficial when used jointly with antiviral drugs. The immune infiltration analysis indicated that both the COVID-19 patients admitted to the ICU and the elderly with infection showed immune exhaustion status, yet with different molecular mechanisms. The interactive graphic interface of OmiczViz also makes it easier to analyze newly discovered and user-uploaded data, leading to an in-depth understanding of existing findings and an expansion of existing knowledge of SARS-CoV-2. Collectively, OmicsViz is web program that promotes the research on medical agents against SARS-CoV-2 and supports the evaluation of the latest research findings.ZhiGang WangYongQun HeJing HuangXiaoLin YangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
ZhiGang Wang
YongQun He
Jing Huang
XiaoLin Yang
Integrative web-based analysis of omics data for study of drugs against SARS-CoV-2
description Abstract Research on drugs against SARS-CoV-2 (cause of COVID-19) has been one of the major world concerns at present. There have been abundant research data and findings in this field. The interference of drugs on gene expression in cell lines, drug-target, protein-virus receptor networks, and immune cell infiltration of the host may provide useful information for anti-SARS-CoV-2 drug research. To simplify the complex bioinformatics analysis and facilitate the evaluation of the latest research data, we developed OmiczViz ( http://medcode.link/omicsviz ), a web tool that has integrated drug-cell line interference data, virus-host protein–protein interactions, and drug-target interactions. To demonstrate the usages of OmiczViz, we analyzed the gene expression data from cell lines treated with chloroquine and ruxolitinib, the drug-target protein networks of 48 anti-coronavirus drugs and drugs bound with ACE2, and the profiles of immune cell infiltration between different COVID-19 patient groups. Our research shows that chloroquine had a regulatory role of the immune response in renal cell line but not in lung cell line. The anti-coronavirus drug-target network analysis suggested that antihistamine of promethaziney and dietary supplement of Zinc might be beneficial when used jointly with antiviral drugs. The immune infiltration analysis indicated that both the COVID-19 patients admitted to the ICU and the elderly with infection showed immune exhaustion status, yet with different molecular mechanisms. The interactive graphic interface of OmiczViz also makes it easier to analyze newly discovered and user-uploaded data, leading to an in-depth understanding of existing findings and an expansion of existing knowledge of SARS-CoV-2. Collectively, OmicsViz is web program that promotes the research on medical agents against SARS-CoV-2 and supports the evaluation of the latest research findings.
format article
author ZhiGang Wang
YongQun He
Jing Huang
XiaoLin Yang
author_facet ZhiGang Wang
YongQun He
Jing Huang
XiaoLin Yang
author_sort ZhiGang Wang
title Integrative web-based analysis of omics data for study of drugs against SARS-CoV-2
title_short Integrative web-based analysis of omics data for study of drugs against SARS-CoV-2
title_full Integrative web-based analysis of omics data for study of drugs against SARS-CoV-2
title_fullStr Integrative web-based analysis of omics data for study of drugs against SARS-CoV-2
title_full_unstemmed Integrative web-based analysis of omics data for study of drugs against SARS-CoV-2
title_sort integrative web-based analysis of omics data for study of drugs against sars-cov-2
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/b6d90e2a3b1d498fa95c0cf72deb2d65
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AT yongqunhe integrativewebbasedanalysisofomicsdataforstudyofdrugsagainstsarscov2
AT jinghuang integrativewebbasedanalysisofomicsdataforstudyofdrugsagainstsarscov2
AT xiaolinyang integrativewebbasedanalysisofomicsdataforstudyofdrugsagainstsarscov2
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