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      Systems Biology of Fungal Infection

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          Abstract

          Elucidation of pathogenicity mechanisms of the most important human-pathogenic fungi, Aspergillus fumigatus and Candida albicans, has gained great interest in the light of the steadily increasing number of cases of invasive fungal infections. A key feature of these infections is the interaction of the different fungal morphotypes with epithelial and immune effector cells in the human host. Because of the high level of complexity, it is necessary to describe and understand invasive fungal infection by taking a systems biological approach, i.e., by a comprehensive quantitative analysis of the non-linear and selective interactions of a large number of functionally diverse, and frequently multifunctional, sets of elements, e.g., genes, proteins, metabolites, which produce coherent and emergent behaviors in time and space. The recent advances in systems biology will now make it possible to uncover the structure and dynamics of molecular and cellular cause-effect relationships within these pathogenic interactions. We review current efforts to integrate omics and image-based data of host-pathogen interactions into network and spatio-temporal models. The modeling will help to elucidate pathogenicity mechanisms and to identify diagnostic biomarkers and potential drug targets for therapy and could thus pave the way for novel intervention strategies based on novel antifungal drugs and cell therapy.

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          Most cited references188

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          Cytoscape 2.8: new features for data integration and network visualization

          Summary: Cytoscape is a popular bioinformatics package for biological network visualization and data integration. Version 2.8 introduces two powerful new features—Custom Node Graphics and Attribute Equations—which can be used jointly to greatly enhance Cytoscape's data integration and visualization capabilities. Custom Node Graphics allow an image to be projected onto a node, including images generated dynamically or at remote locations. Attribute Equations provide Cytoscape with spreadsheet-like functionality in which the value of an attribute is computed dynamically as a function of other attributes and network properties. Availability and implementation: Cytoscape is a desktop Java application released under the Library Gnu Public License (LGPL). Binary install bundles and source code for Cytoscape 2.8 are available for download from http://cytoscape.org. Contact: msmoot@ucsd.edu
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            Nonfilamentous C. albicans mutants are avirulent.

            Candida albicans and Saccharomyces cerevisiae switch from a yeast to a filamentous form. In Saccharomyces, this switch is controlled by two regulatory proteins, Ste12p and Phd1p. Single-mutant strains, ste12/ste12 or phd1/phd1, are partially defective, whereas the ste12/ste12 phd1/phd1 double mutant is completely defective in filamentous growth and is noninvasive. The equivalent cph1/cph1 efg1/efg1 double mutant in Candida (Cph1p is the Ste12p homolog and Efg1p is the Phd1p homolog) is also defective in filamentous growth, unable to form hyphae or pseudohyphae in response to many stimuli, including serum or macrophages. This Candida cph1/cph1 efg1/efg1 double mutant, locked in the yeast form, is avirulent in a mouse model.
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              High resolution two-dimensional electrophoresis of proteins.

              A technique has been developed for the separation of proteins by two-dimensional polyacrylamide gel electrophoresis. Due to its resolution and sensitivity, this technique is a powerful tool for the analysis and detection of proteins from complex biological sources. Proteins are separated according to isoelectric point by isoelectric focusing in the first dimension, and according to molecular weight by sodium dodecyl sulfate electrophoresis in the second dimension. Since these two parameters are unrelated, it is possible to obtain an almost uniform distribution of protein spots across a two-diminsional gel. This technique has resolved 1100 different components from Escherichia coli and should be capable of resolving a maximum of 5000 proteins. A protein containing as little as one disintegration per min of either 14C or 35S can be detected by autoradiography. A protein which constitutes 10 minus 4 to 10 minus 5% of the total protein can be detected and quantified by autoradiography. The reproducibility of the separation is sufficient to permit each spot on one separation to be matched with a spot on a different separation. This technique provides a method for estimation (at the described sensitivities) of the number of proteins made by any biological system. This system can resolve proteins differing in a single charge and consequently can be used in the analysis of in vivo modifications resulting in a change in charge. Proteins whose charge is changed by missense mutations can be identified. A detailed description of the methods as well as the characteristics of this system are presented.
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                Author and article information

                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbio.
                Frontiers in Microbiology
                Frontiers Research Foundation
                1664-302X
                02 April 2012
                2012
                : 3
                : 108
                Affiliations
                [1] 1simpleSystems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute Jena, Germany
                [2] 2simpleMolecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute Jena, Germany
                [3] 3simpleApplied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute Jena, Germany
                [4] 4simpleDepartment of Microbiology and Molecular Biology, Institute of Microbiology, Friedrich Schiller University Jena, Germany
                Author notes

                Edited by: Jörg Linde, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute, Germany

                Reviewed by: Rene Alvarez, Naval Medical Research Unit-San Antonio, USA; Guoku Hu, Creighton University, USA; Scott G. Filler, Los Angeles Biomedical Research Institute, USA

                *Correspondence: Axel A. Brakhage, Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute, Beutenbergstrasse 11a, 07745 Jena, Germany. e-mail: axel.brakhage@ 123456hki-jena.de

                This article was submitted to Frontiers in Microbial Immunology, a specialty of Frontiers in Microbiology.

                Article
                10.3389/fmicb.2012.00108
                3317178
                22485108
                b4ca1301-74e7-414d-aa9e-3776e3942f67
                Copyright © 2012 Horn, Heinekamp, Kniemeyer, Pollmächer, Valiante and Brakhage.

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.

                History
                : 12 December 2011
                : 05 March 2012
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 230, Pages: 20, Words: 20380
                Categories
                Microbiology
                Review Article

                Microbiology & Virology
                network modeling,pathogenicity,gene-regulatory network,spatio-temporal modeling,systems biology,pathogen-host interaction,aspergillus fumigatus,candida albicans

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