PUBLICATION

Robustness analysis on interspecies interaction network for iron and glucose competition between Candida albicans and zebrafish during infection

Authors
Lin, C., Lin, C.N., Wang, Y.C., Liu, F.Y., Chien, Y.W., Chuang, Y.J., Lan, C.Y., Hsieh, W.P., Chen, B.S.
ID
ZDB-PUB-150122-9
Date
2014
Source
BMC systems biology   8 Suppl 5: S6 (Journal)
Registered Authors
Chuang, Yung-Jen
Keywords
none
Datasets
GEO:GSE32119
MeSH Terms
  • Animals
  • Candida albicans/metabolism*
  • Candidiasis/metabolism*
  • Candidiasis/microbiology
  • Computer Simulation
  • Glucose/metabolism*
  • Host-Pathogen Interactions/physiology
  • Iron/metabolism*
  • Microbial Interactions/physiology
  • Models, Biological
  • Signal Transduction/physiology
  • Species Specificity
  • Zebrafish/metabolism*
  • Zebrafish/microbiology*
PubMed
25603810 Full text @ BMC Syst. Biol.
Abstract
Candida albicans has emerged as an important model organism for the study of infectious disease. Using high-throughput simultaneously quantified time-course transcriptomics, this study constructed host-pathogen interspecies interaction networks between C. albicans and zebrafish during the adhesion, invasion, and damage stages. Given that iron and glucose have been identified as crucial resources required during the infection process between C. albicans and zebrafish, we focused on the construction of the interspecies networks associated with them. Furthermore, a randomization technique was proposed to identify differentially regulated proteins that are statistically eminent for the three infection stages. The behaviors of the highly connected or differentially regulated proteins identified from the resulting networks were further investigated.
Genes / Markers
Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping