Convergent perturbation of the human domain-resolved interactome by viruses and mutations inducing similar disease phenotypes

PLoS Comput Biol. 2019 Feb 13;15(2):e1006762. doi: 10.1371/journal.pcbi.1006762. eCollection 2019 Feb.

Abstract

An important goal of systems medicine is to study disease in the context of genetic and environmental perturbations to the human interactome network. For diseases with both genetic and infectious contributors, a key postulate is that similar perturbations of the human interactome by either disease mutations or pathogens can have similar disease consequences. This postulate has so far only been tested for a few viral species at the level of whole proteins. Here, we expand the scope of viral species examined, and test this postulate more rigorously at the higher resolution of protein domains. Focusing on diseases with both genetic and viral contributors, we found significant convergent perturbation of the human domain-resolved interactome by endogenous genetic mutations and exogenous viral proteins inducing similar disease phenotypes. Pan-cancer, pan-oncovirus analysis further revealed that domains of human oncoproteins either physically targeted or structurally mimicked by oncoviruses are enriched for cancer driver rather than passenger mutations, suggesting convergent targeting of cancer driver pathways by diverse oncoviruses. Our study provides a framework for high-resolution, network-based comparison of various disease factors, both genetic and environmental, in terms of their impacts on the human interactome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology / methods*
  • Host-Pathogen Interactions / genetics*
  • Humans
  • Mutation
  • Phenotype
  • Protein Domains / genetics
  • Protein Interaction Maps / genetics*
  • Proteins / chemistry
  • Viral Proteins / metabolism
  • Virus Diseases
  • Viruses / metabolism

Substances

  • Proteins
  • Viral Proteins

Grants and funding

This work was supported by Natural Sciences and Engineering Research Council of Canada grant RGPIN-2014-03892, Canada Foundation for Innovation grant JELF-33732, Canada Foundation for Innovation grant IF-33122, and Canada Research Chairs program to Y.X., and McGill Engineering Doctoral Awards program to Y.F.C. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.