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Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks

BACKGROUND: The National Institute of Allergy and Infectious Diseases has launched the HIV-1 Human Protein Interaction Database in an effort to catalogue all published interactions between HIV-1 and human proteins. In order to systematically investigate these interactions functionally and dynamicall...

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Autores principales: van Dijk, David, Ertaylan, Gokhan, Boucher, Charles AB, Sloot, Peter MA
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2913931/
https://www.ncbi.nlm.nih.gov/pubmed/20633292
http://dx.doi.org/10.1186/1752-0509-4-96
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author van Dijk, David
Ertaylan, Gokhan
Boucher, Charles AB
Sloot, Peter MA
author_facet van Dijk, David
Ertaylan, Gokhan
Boucher, Charles AB
Sloot, Peter MA
author_sort van Dijk, David
collection PubMed
description BACKGROUND: The National Institute of Allergy and Infectious Diseases has launched the HIV-1 Human Protein Interaction Database in an effort to catalogue all published interactions between HIV-1 and human proteins. In order to systematically investigate these interactions functionally and dynamically, we have constructed an HIV-1 human protein interaction network. This network was analyzed for important proteins and processes that are specific for the HIV life-cycle. In order to expose viral strategies, network motif analysis was carried out showing reoccurring patterns in virus-host dynamics. RESULTS: Our analyses show that human proteins interacting with HIV form a densely connected and central sub-network within the total human protein interaction network. The evaluation of this sub-network for connectivity and centrality resulted in a set of proteins essential for the HIV life-cycle. Remarkably, we were able to associate proteins involved in RNA polymerase II transcription with hubs and proteasome formation with bottlenecks. Inferred network motifs show significant over-representation of positive and negative feedback patterns between virus and host. Strikingly, such patterns have never been reported in combined virus-host systems. CONCLUSIONS: HIV infection results in a reprioritization of cellular processes reflected by an increase in the relative importance of transcriptional machinery and proteasome formation. We conclude that during the evolution of HIV, some patterns of interaction have been selected for resulting in a system where virus proteins preferably interact with central human proteins for direct control and with proteasomal proteins for indirect control over the cellular processes. Finally, the patterns described by network motifs illustrate how virus and host interact with one another.
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spelling pubmed-29139312010-08-11 Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks van Dijk, David Ertaylan, Gokhan Boucher, Charles AB Sloot, Peter MA BMC Syst Biol Research Article BACKGROUND: The National Institute of Allergy and Infectious Diseases has launched the HIV-1 Human Protein Interaction Database in an effort to catalogue all published interactions between HIV-1 and human proteins. In order to systematically investigate these interactions functionally and dynamically, we have constructed an HIV-1 human protein interaction network. This network was analyzed for important proteins and processes that are specific for the HIV life-cycle. In order to expose viral strategies, network motif analysis was carried out showing reoccurring patterns in virus-host dynamics. RESULTS: Our analyses show that human proteins interacting with HIV form a densely connected and central sub-network within the total human protein interaction network. The evaluation of this sub-network for connectivity and centrality resulted in a set of proteins essential for the HIV life-cycle. Remarkably, we were able to associate proteins involved in RNA polymerase II transcription with hubs and proteasome formation with bottlenecks. Inferred network motifs show significant over-representation of positive and negative feedback patterns between virus and host. Strikingly, such patterns have never been reported in combined virus-host systems. CONCLUSIONS: HIV infection results in a reprioritization of cellular processes reflected by an increase in the relative importance of transcriptional machinery and proteasome formation. We conclude that during the evolution of HIV, some patterns of interaction have been selected for resulting in a system where virus proteins preferably interact with central human proteins for direct control and with proteasomal proteins for indirect control over the cellular processes. Finally, the patterns described by network motifs illustrate how virus and host interact with one another. BioMed Central 2010-07-15 /pmc/articles/PMC2913931/ /pubmed/20633292 http://dx.doi.org/10.1186/1752-0509-4-96 Text en Copyright ©2010 van Dijk et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
van Dijk, David
Ertaylan, Gokhan
Boucher, Charles AB
Sloot, Peter MA
Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks
title Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks
title_full Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks
title_fullStr Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks
title_full_unstemmed Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks
title_short Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks
title_sort identifying potential survival strategies of hiv-1 through virus-host protein interaction networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2913931/
https://www.ncbi.nlm.nih.gov/pubmed/20633292
http://dx.doi.org/10.1186/1752-0509-4-96
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