Mining host-pathogen protein interactions to characterize Burkholderia mallei infectivity mechanisms

PLoS Computational Biology
Vesna MemiševićAnders Wallqvist

Abstract

Burkholderia pathogenicity relies on protein virulence factors to control and promote bacterial internalization, survival, and replication within eukaryotic host cells. We recently used yeast two-hybrid (Y2H) screening to identify a small set of novel Burkholderia proteins that were shown to attenuate disease progression in an aerosol infection animal model using the virulent Burkholderia mallei ATCC 23344 strain. Here, we performed an extended analysis of primarily nine B. mallei virulence factors and their interactions with human proteins to map out how the bacteria can influence and alter host processes and pathways. Specifically, we employed topological analyses to assess the connectivity patterns of targeted host proteins, identify modules of pathogen-interacting host proteins linked to processes promoting infectivity, and evaluate the effect of crosstalk among the identified host protein modules. Overall, our analysis showed that the targeted host proteins generally had a large number of interacting partners and interacted with other host proteins that were also targeted by B. mallei proteins. We also introduced a novel Host-Pathogen Interaction Alignment (HPIA) algorithm and used it to explore similarities between host-p...Continue Reading

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Citations

Mar 25, 2016·Expert Review of Vaccines·Sophie A AschenbroichRobert J Hogan
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Methods Mentioned

BETA
two-hybrid
ubiquitination
GTPases
Y2H

Software Mentioned

R
HPIA
UNIPROT
BioMart
BLAST
igraph
Bioconductor packages
KEGGgraph

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