@article{RemmeleLutherBalkenholetal.2015,
  author    = {Remmele, Christian W. and Luther, Christian H. and Balkenhol, Johannes and Dandekar, Thomas and M{\"u}ller, Tobias and Dittrich, Marcus T.},
  title     = {Integrated inference and evaluation of host-fungi interaction networks},
  series = {Frontiers in Microbiology},
  volume    = {6},
  journal   = {Frontiers in Microbiology},
  number    = {764},
  doi       = {10.3389/fmicb.2015.00764},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-148278},
  year      = {2015},
  abstract  = {Fungal microorganisms frequently lead to life-threatening infections. Within this group of pathogens, the commensal Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of invasive mycoses in Europe. A key capability for host invasion and immune response evasion are specific molecular interactions between the fungal pathogen and its human host. Experimentally validated knowledge about these crucial interactions is rare in literature and even specialized host pathogen databases mainly focus on bacterial and viral interactions whereas information on fungi is still sparse. To establish large-scale host fungi interaction networks on a systems biology scale, we develop an extended inference approach based on protein orthology and data on gene functions. Using human and yeast intraspecies networks as template, we derive a large network of pathogen host interactions (PHI). Rigorous filtering and refinement steps based on cellular localization and pathogenicity information of predicted interactors yield a primary scaffold of fungi human and fungi mouse interaction networks. Specific enrichment of known pathogenicity-relevant genes indicates the biological relevance of the predicted PHI. A detailed inspection of functionally relevant subnetworks reveals novel host fungal interaction candidates such as the Candida virulence factor PLB1 and the anti-fungal host protein APP. Our results demonstrate the applicability of interolog-based prediction methods for host fungi interactions and underline the importance of filtering and refinement steps to attain biologically more relevant interactions. This integrated network framework can serve as a basis for future analyses of high-throughput host fungi transcriptome and proteome data.},
  language  = {en}
}
@phdthesis{Fliesser2015,
  author    = {Fließer, Mirjam},
  title     = {Hypoxia and hypoxia-inducible factor 1α modulate the immune response of human dendritic cells against Aspergillus fumigatus},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-121392},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {The mold Aspergillus fumigatus causes life-threatening infections in immunocompromised patients. Over the past decade new findings in research have improved our understanding of A. fumigatus-host interactions. One of them was the detection of localized areas of tissue hypoxia in the lungs of mice infected with A. fumigatus. The transcription factor hypoxia-inducible factor 1α (HIF 1α) is known as the central regulator of cellular responses to hypoxia. Under normoxia, this constitutively expressed protein is degraded by oxygen-dependent mechanisms in most mammalian cell types. Interaction with pathogens can induce HIF 1α stabilization under normoxic conditions in innate immune cells. Bacterial infection models revealed that hypoxic microenvironments and signaling via HIF 1α modulate functions of host immune cells. Moreover, it was recently described that in murine phagocytes, HIF 1α expression is essential to overcome an A. fumigatus infection. However, the influence of hypoxia and the role of HIF 1α signaling for anti-A. fumigatus immunity is still poorly understood, especially regarding dendritic cells (DCs), which are important regulators of anti-fungal immunity. In this study, the functional relevance of hypoxia and HIF 1α signaling in the response of human DCs against A. fumigatus has been investigated. Hypoxia attenuated the pro-inflammatory response of DCs against A. fumigatus during the initial infection as shown by genome-wide microarray expression analyses and cytokine quantification. The up-regulation of maturation-associated molecules on DCs stimulated with A. fumigatus under hypoxia was reduced; however, these DCs possessed an enhanced capacity to stimulate T cells. This study thereby revealed divergent influence of hypoxia on anti-A. fumigatus DC functions that included both, inhibiting and enhancing effects. HIF-1α was stabilized in DCs following stimulation with A. fumigatus under normoxic and hypoxic conditions. This stabilization was partially dependent on Dectin-1, the major receptor for A. fumigatus on human DCs. Using siRNA-based HIF 1α silencing combined with gene expression microarrays, a modulatory effect of HIF-1α on the anti-fungal immune response of human DCs was identified. Specifically, the transcriptomes of HIF-1α silenced DCs indicated that HIF-1α enhanced DC metabolism and cytokine release in response to A. fumigatus under normoxic and hypoxic conditions. This was confirmed by further down-stream analyses that included quantification of glycolytic activity and cytokine profiling of DCs. By that, this study demonstrated functional relevance of HIF 1α expression in DCs responding to A. fumigatus. The data give novel insight into the cellular functions of HIF 1α in human DCs that include regulation of the anti-fungal immune response under normoxia and hypoxia. The comprehensive transcriptome datasets in combination with the down-stream protein analyses from this study will promote further investigations to further characterize the complex interplay between hypoxia, activation of Dectin-1 and HIF-1α signaling in host responses against A. fumigatus.},
  subject      = {Immunologie},
  language  = {en}
}