Host-pathogen interactions between the human innate immune system and Candida albicans-understanding and modeling defense and evasion strategies
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BiBTeXThe diploid, polymorphic yeast Candida albicans is one of the most important human pathogenic fungi. C. albicans can grow, proliferate and coexist as a commensal on or within the human host for a long time. However, alterations in the host environment can render C. albicans virulent. In this review, we describe the immunological cross-talk between C. albicans and the human innate immune system. We give an overview in form of pairs of human defense strategies including immunological mechanisms as well as general stressors such as nutrient limitation, pH, fever etc. and the corresponding fungal response and evasion mechanisms. Furthermore, Computational Systems Biology approaches to model and investigate these complex interactions are highlighted with a special focus on game-theoretical methods and agent-based models. An outlook on interesting questions to be tackled by Systems Biology regarding entangled defense and evasion mechanisms is given.
SEEK ID: https://funginet.hki-jena.de/publications/25
PubMed ID: 26175718
Projects: FungiNet B - Bioinformatics projects, FungiNet C - Candida projects
Journal: Front Microbiol
Citation:
Date Published: 30th Jun 2015
Authors: Sybille Dühring, S. Germerodt, Christine Skerka, Peter Zipfel, Thomas Dandekar, Stefan Schuster
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Created: 8th Mar 2016 at 16:03
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Name
Prof. Dr. Thomas Dandekar
Position Professor and Chairman
Affiliation
Dept. of bioinformatics,
Biocenter
University of Würzburg
Am Hubland
97074 Würzburg
Phone 0931-318-4551
dandekar@biozentrum.uni-wuerzburg.de
Born 23.07.1960
Career 1979-1986 Studies in medicine at the Ludwig Maximilians University of Munich
1982-1986 MD, Max Planck Inst. of Psychiatry, Dept. Neuropharmacology, Martinsried
1987-1988 Post-Doc, Institute Pasteur, Paris
1988- now Scientist at the European Molecular Biology
...
I study the analysis of high-throughput transcriptom and genome data.
For transcritom data (RNA-Seq, microarrays), I perform preprocessing and statistics to identify differentially expressed genes, as well as their functional analysis. My main focus is the analysis of transcriptom data
from human fungal pathogens in infection related conditions (f.e. nutrient limitation) as well as during the interaction with the host (dual RNA-seq).
Experimental data is used to set up mathematical models for
...
Principal investigator in B1.
Full professor in bioinformatics at FSU Jena
