Regulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells

Jörg Linde, Duncan Wilson, Bernhard Hube, Reinhard Guthke

Research output: Contribution to journalArticle

31 Citations (Scopus)
3 Downloads (Pure)

Abstract

Reverse engineering of gene regulatory networks can be used to predict regulatory interactions of an organism faced with environmental changes, but can prove problematic, especially when focusing on complicated multi-factorial processes. Candida albicans is a major human fungal pathogen. During the infection process, this fungus is able to adapt to conditions of very low iron availability. Such adaptation is an important virulence attribute of virtually all pathogenic microbes. Understanding the regulation of iron acquisition genes will extend our knowledge of the complex regulatory changes during the infection process and might identify new potential drug targets. Thus, there is a need for efficient modelling approaches predicting key regulatory events of iron acquisition genes during the infection process.
Original languageEnglish
Article number148
Number of pages14
JournalBMC Systems Biology
Volume4
DOIs
Publication statusPublished - 4 Nov 2010

Keywords

  • binding sites
  • Candida albicans
  • epithelial cells
  • gene expression profiling
  • gene knockout techniques
  • gene regulatory networks
  • humans
  • iron
  • kinetics
  • models, genetic
  • mouth
  • mutation
  • transcription factors

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