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

30 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

Fingerprint

Network Modeling
Regulatory Networks
Pathogens
Iron
Genes
Epithelial Cells
Contact
Infection
Cell
Reverse engineering
Candida
Gene Regulatory Networks
Gene
Fungi
Candida albicans
Virulence
Reverse Engineering
Gene Regulatory Network
Factorial
Availability

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

Cite this

Regulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells. / Linde, Jörg; Wilson, Duncan; Hube, Bernhard; Guthke, Reinhard.

In: BMC Systems Biology, Vol. 4, 148, 04.11.2010.

Research output: Contribution to journalArticle

Linde, Jörg ; Wilson, Duncan ; Hube, Bernhard ; Guthke, Reinhard. / Regulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells. In: BMC Systems Biology. 2010 ; Vol. 4.
@article{2a72f30d0c4148cca29a321ec8d5c072,
title = "Regulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells",
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.",
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",
author = "J{\"o}rg Linde and Duncan Wilson and Bernhard Hube and Reinhard Guthke",
year = "2010",
month = "11",
day = "4",
doi = "10.1186/1752-0509-4-148",
language = "English",
volume = "4",
journal = "BMC Systems Biology",
issn = "1752-0509",
publisher = "BioMed Central",

}

TY - JOUR

T1 - Regulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells

AU - Linde, Jörg

AU - Wilson, Duncan

AU - Hube, Bernhard

AU - Guthke, Reinhard

PY - 2010/11/4

Y1 - 2010/11/4

N2 - 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.

AB - 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.

KW - binding sites

KW - Candida albicans

KW - epithelial cells

KW - gene expression profiling

KW - gene knockout techniques

KW - gene regulatory networks

KW - humans

KW - iron

KW - kinetics

KW - models, genetic

KW - mouth

KW - mutation

KW - transcription factors

U2 - 10.1186/1752-0509-4-148

DO - 10.1186/1752-0509-4-148

M3 - Article

VL - 4

JO - BMC Systems Biology

JF - BMC Systems Biology

SN - 1752-0509

M1 - 148

ER -