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A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host

BACKGROUND: Influenza A virus (IAV) infection is a serious public health problem not only in South East Asia but also in European and African countries. Scientists are using network biology to dig deep into the essential host factors responsible for regulation of virus infections. Researchers can ex...

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Autores principales: Farooq, Qurat ul Ain, Shaukat, Zeeshan, Aiman, Sara, Zhou, Tong, Li, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7339526/
https://www.ncbi.nlm.nih.gov/pubmed/32631335
http://dx.doi.org/10.1186/s12879-020-05214-0
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author Farooq, Qurat ul Ain
Shaukat, Zeeshan
Aiman, Sara
Zhou, Tong
Li, Chunhua
author_facet Farooq, Qurat ul Ain
Shaukat, Zeeshan
Aiman, Sara
Zhou, Tong
Li, Chunhua
author_sort Farooq, Qurat ul Ain
collection PubMed
description BACKGROUND: Influenza A virus (IAV) infection is a serious public health problem not only in South East Asia but also in European and African countries. Scientists are using network biology to dig deep into the essential host factors responsible for regulation of virus infections. Researchers can explore the virus invasion into the host cells by studying the virus-host relationship based on their protein-protein interaction network. METHODS: In this study, we present a comprehensive IAV-host protein-protein interaction network that is obtained based on the literature-curated protein interaction datasets and some important interaction databases. The network is constructed in Cytoscape and analyzed with its plugins including CytoHubba, CytoCluster, MCODE, ClusterViz and ClusterOne. In addition, Gene Ontology and KEGG enrichment analyses are performed on the highly IAV-associated human proteins. We also compare the current results with those from our previous study on Hepatitis C Virus (HCV)-host protein-protein interaction network in order to find out valuable information. RESULTS: We found out 1027 interactions among 829 proteins of which 14 are viral proteins and 815 belong to human proteins. The viral protein NS1 has the highest number of associations with human proteins followed by NP, PB2 and so on. Among human proteins, LNX2, MEOX2, TFCP2, PRKRA and DVL2 have the most interactions with viral proteins. Based on KEGG pathway enrichment analysis of the highly IAV-associated human proteins, we found out that they are enriched in the KEGG pathway of basal cell carcinoma. Similarly, the result of KEGG analysis of the common host factors involved in IAV and HCV infections shows that these factors are enriched in the infection pathways of Hepatitis B Virus (HBV), Viral Carcinoma, measles and certain other viruses. CONCLUSION: It is concluded that the list of proteins we identified might be used as potential drug targets for the drug design against the infectious diseases caused by Influenza A Virus and other viruses.
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spelling pubmed-73395262020-07-09 A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host Farooq, Qurat ul Ain Shaukat, Zeeshan Aiman, Sara Zhou, Tong Li, Chunhua BMC Infect Dis Research Article BACKGROUND: Influenza A virus (IAV) infection is a serious public health problem not only in South East Asia but also in European and African countries. Scientists are using network biology to dig deep into the essential host factors responsible for regulation of virus infections. Researchers can explore the virus invasion into the host cells by studying the virus-host relationship based on their protein-protein interaction network. METHODS: In this study, we present a comprehensive IAV-host protein-protein interaction network that is obtained based on the literature-curated protein interaction datasets and some important interaction databases. The network is constructed in Cytoscape and analyzed with its plugins including CytoHubba, CytoCluster, MCODE, ClusterViz and ClusterOne. In addition, Gene Ontology and KEGG enrichment analyses are performed on the highly IAV-associated human proteins. We also compare the current results with those from our previous study on Hepatitis C Virus (HCV)-host protein-protein interaction network in order to find out valuable information. RESULTS: We found out 1027 interactions among 829 proteins of which 14 are viral proteins and 815 belong to human proteins. The viral protein NS1 has the highest number of associations with human proteins followed by NP, PB2 and so on. Among human proteins, LNX2, MEOX2, TFCP2, PRKRA and DVL2 have the most interactions with viral proteins. Based on KEGG pathway enrichment analysis of the highly IAV-associated human proteins, we found out that they are enriched in the KEGG pathway of basal cell carcinoma. Similarly, the result of KEGG analysis of the common host factors involved in IAV and HCV infections shows that these factors are enriched in the infection pathways of Hepatitis B Virus (HBV), Viral Carcinoma, measles and certain other viruses. CONCLUSION: It is concluded that the list of proteins we identified might be used as potential drug targets for the drug design against the infectious diseases caused by Influenza A Virus and other viruses. BioMed Central 2020-07-06 /pmc/articles/PMC7339526/ /pubmed/32631335 http://dx.doi.org/10.1186/s12879-020-05214-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Farooq, Qurat ul Ain
Shaukat, Zeeshan
Aiman, Sara
Zhou, Tong
Li, Chunhua
A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host
title A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host
title_full A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host
title_fullStr A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host
title_full_unstemmed A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host
title_short A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host
title_sort systems biology-driven approach to construct a comprehensive protein interaction network of influenza a virus with its host
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7339526/
https://www.ncbi.nlm.nih.gov/pubmed/32631335
http://dx.doi.org/10.1186/s12879-020-05214-0
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