Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783554910552326144 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7339526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT farooqquratulain asystemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT shaukatzeeshan asystemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT aimansara asystemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT zhoutong asystemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT lichunhua asystemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT farooqquratulain systemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT shaukatzeeshan systemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT aimansara systemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT zhoutong systemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost AT lichunhua systemsbiologydrivenapproachtoconstructacomprehensiveproteininteractionnetworkofinfluenzaaviruswithitshost |