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Open AccessJournal ArticleDOI

Viral Perturbations of Host Networks Reflect Disease Etiology

TLDR
In this article, the authors examined whether viral perturbations of host interactome may underlie such virally implicated disease relationships, using as models two different human viruses, Epstein-Barr virus (EBV) and human papillomavirus (HPV).
Abstract
Many human diseases, arising from mutations of disease susceptibility genes (genetic diseases), are also associated with viral infections (virally implicated diseases), either in a directly causal manner or by indirect associations. Here we examine whether viral perturbations of host interactome may underlie such virally implicated disease relationships. Using as models two different human viruses, Epstein-Barr virus (EBV) and human papillomavirus (HPV), we find that host targets of viral proteins reside in network proximity to products of disease susceptibility genes. Expression changes in virally implicated disease tissues and comorbidity patterns cluster significantly in the network vicinity of viral targets. The topological proximity found between cellular targets of viral proteins and disease genes was exploited to uncover a novel pathway linking HPV to Fanconi anemia.

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Network Medicine: A Network-Based Approach to Human Disease

TL;DR: Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.
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The BioGRID interaction database: 2015 update

TL;DR: The BioGRID architecture has been improved to support a broader range of interaction and post-translational modification types, to allow the representation of more complex multi-gene/protein interactions, to account for cellular phenotypes through structured ontologies, to expedite curation through semi-automated text-mining approaches, and to enhance curation quality control.
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A “candidate-interactome” aggregate analysis of genome-wide association data in multiple sclerosis

TL;DR: The interaction between genotype and Epstein Barr virus emerges as relevant for multiple sclerosis etiology, and also other viruses have a similar potential, though probably less relevant in epidemiological terms.
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Human symptoms–disease network

TL;DR: It is found that the symptom-based similarity of two diseases correlates strongly with the number of shared genetic associations and the extent to which their associated proteins interact.
Journal ArticleDOI

Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins

TL;DR: It is shown that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on a par with their identification through functional genomics and large-scale cataloguing of tumour mutations, to increase the specificity of cancer gene identification.
References
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Journal ArticleDOI

Network biology: understanding the cell's functional organization

TL;DR: This work states that rapid advances in network biology indicate that cellular networks are governed by universal laws and offer a new conceptual framework that could potentially revolutionize the view of biology and disease pathologies in the twenty-first century.
Journal ArticleDOI

Evidence for a Causal Association Between Human Papillomavirus and a Subset of Head and Neck Cancers

TL;DR: It is suggested that HPV-positive oropharyngeal cancers comprise a distinct molecular, clinical, and pathologic disease entity that is likely causally associated with HPV infection and that has a markedly improved prognosis.
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The human disease network

TL;DR: This paper found that essential human genes are likely to encode hub proteins and are expressed widely in most tissues, while the vast majority of disease genes are non-essential and show no tendency to encoding hub proteins, and their expression pattern indicates that they are localized in the functional periphery of the network.
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