Interspecies protein-protein interaction network construction for characterization of host-pathogen interactions: a

Yu-Chao Wang1, Che Lin, Ming-Ta Chuang

  • 1Laboratory of Control and Systems Biology, Department of Electrical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.

BMC Systems Biology
|August 17, 2013
PubMed
Abstract

Insights

This study developed a computational framework to analyze host-pathogen interactions by constructing an interspecies protein-protein interaction network. The findings reveal that redox status is critical in the Candida albicans-zebrafish interaction.

Area of Science:

  • Microbiology
  • Computational Biology
  • Systems Biology

Background:

  • Infectious diseases pose a significant global public health challenge, causing millions of deaths annually.
  • Understanding host-pathogen interactions is crucial for developing effective control strategies.
  • Previous research often focused on host or pathogen individually, neglecting simultaneous analysis.

Purpose of the Study:

  • To develop a computational framework for constructing interspecies protein-protein interaction (PPI) networks.
  • To analyze the dynamic interactions between Candida albicans and zebrafish.
  • To identify key molecular mechanisms underlying host-pathogen interactions.

Main Methods:

  • Simultaneous quantification of time-course transcriptomics and other omics data for C. albicans-zebrafish interactions.
  • Development of a computational framework for interspecies PPI network construction.
  • Inference of ortholog-based PPIs and dynamic modeling of regulatory responses.

Main Results:

  • Successfully constructed an interspecies PPI network for C. albicans-zebrafish interactions.
  • Highlighted the association between C. albicans pathogenesis and the zebrafish redox process.
  • Indicated that redox status plays a critical role in host-pathogen interactions.

Conclusions:

  • The interspecies network construction approach advances the characterization of host-pathogen interactions beyond single-species methods.
  • The proposed method can explore network rewiring over time with accumulating interspecies transcriptomics data.
  • This approach holds potential for developing network medicine strategies for infectious diseases.