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When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases

BACKGROUND: Comprehensive understanding of molecular mechanisms underlying viral infection is a major challenge towards the discovery of new antiviral drugs and susceptibility factors of human diseases. New advances in the field are expected from systems-level modelling and integration of the incess...

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Autores principales: Navratil, Vincent, de Chassey, Benoit, Combe, Chantal Rabourdin, Lotteau, Vincent
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037315/
https://www.ncbi.nlm.nih.gov/pubmed/21255393
http://dx.doi.org/10.1186/1752-0509-5-13
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author Navratil, Vincent
de Chassey, Benoit
Combe, Chantal Rabourdin
Lotteau, Vincent
author_facet Navratil, Vincent
de Chassey, Benoit
Combe, Chantal Rabourdin
Lotteau, Vincent
author_sort Navratil, Vincent
collection PubMed
description BACKGROUND: Comprehensive understanding of molecular mechanisms underlying viral infection is a major challenge towards the discovery of new antiviral drugs and susceptibility factors of human diseases. New advances in the field are expected from systems-level modelling and integration of the incessant torrent of high-throughput "-omics" data. RESULTS: Here, we describe the Human Infectome protein interaction Network, a novel systems virology model of a virtual virus-infected human cell concerning 110 viruses. This in silico model was applied to comprehensively explore the molecular relationships between viruses and their associated diseases. This was done by merging virus-host and host-host physical protein-protein interactomes with the set of genes essential for viral replication and involved in human genetic diseases. This systems-level approach provides strong evidence that viral proteomes target a wide range of functional and inter-connected modules of proteins as well as highly central and bridging proteins within the human interactome. The high centrality of targeted proteins was correlated to their essentiality for viruses' lifecycle, using functional genomic RNAi data. A stealth-attack of viruses on proteins bridging cellular functions was demonstrated by simulation of cellular network perturbations, a property that could be essential in the molecular aetiology of some human diseases. Networking the Human Infectome and Diseasome unravels the connectivity of viruses to a wide range of diseases and profiled molecular basis of Hepatitis C Virus-induced diseases as well as 38 new candidate genetic predisposition factors involved in type 1 diabetes mellitus. CONCLUSIONS: The Human Infectome and Diseasome Networks described here provide a unique gateway towards the comprehensive modelling and analysis of the systems level properties associated to viral infection as well as candidate genes potentially involved in the molecular aetiology of human diseases.
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spelling pubmed-30373152011-02-18 When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases Navratil, Vincent de Chassey, Benoit Combe, Chantal Rabourdin Lotteau, Vincent BMC Syst Biol Research Article BACKGROUND: Comprehensive understanding of molecular mechanisms underlying viral infection is a major challenge towards the discovery of new antiviral drugs and susceptibility factors of human diseases. New advances in the field are expected from systems-level modelling and integration of the incessant torrent of high-throughput "-omics" data. RESULTS: Here, we describe the Human Infectome protein interaction Network, a novel systems virology model of a virtual virus-infected human cell concerning 110 viruses. This in silico model was applied to comprehensively explore the molecular relationships between viruses and their associated diseases. This was done by merging virus-host and host-host physical protein-protein interactomes with the set of genes essential for viral replication and involved in human genetic diseases. This systems-level approach provides strong evidence that viral proteomes target a wide range of functional and inter-connected modules of proteins as well as highly central and bridging proteins within the human interactome. The high centrality of targeted proteins was correlated to their essentiality for viruses' lifecycle, using functional genomic RNAi data. A stealth-attack of viruses on proteins bridging cellular functions was demonstrated by simulation of cellular network perturbations, a property that could be essential in the molecular aetiology of some human diseases. Networking the Human Infectome and Diseasome unravels the connectivity of viruses to a wide range of diseases and profiled molecular basis of Hepatitis C Virus-induced diseases as well as 38 new candidate genetic predisposition factors involved in type 1 diabetes mellitus. CONCLUSIONS: The Human Infectome and Diseasome Networks described here provide a unique gateway towards the comprehensive modelling and analysis of the systems level properties associated to viral infection as well as candidate genes potentially involved in the molecular aetiology of human diseases. BioMed Central 2011-01-21 /pmc/articles/PMC3037315/ /pubmed/21255393 http://dx.doi.org/10.1186/1752-0509-5-13 Text en Copyright ©2011 Navratil 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
Navratil, Vincent
de Chassey, Benoit
Combe, Chantal Rabourdin
Lotteau, Vincent
When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases
title When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases
title_full When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases
title_fullStr When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases
title_full_unstemmed When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases
title_short When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases
title_sort when the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037315/
https://www.ncbi.nlm.nih.gov/pubmed/21255393
http://dx.doi.org/10.1186/1752-0509-5-13
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