Andreas Kühbacher

Dr. Andreas Kühbacher


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 June 2017 in Microorganisms
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Journal Article
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AKAndreas Kühbacher
Andreas Kühbacher
ABAnke Burger-Kentischer
Anke Burger-Kentischer
SRSteffen Rupp
Steffen Rupp
The human skin is commonly colonized by diverse fungal species. Some Candida species, especially C. albicans, do not only reside on the skin surface as commensals, but also cause infections by growing into the colonized tissue. However, defense mechanisms at the skin barrier level are very efficient, involving residential non-immune and immune cells as well as immune cells specifically recruited to the site of infection. Therefore, the skin is an effective barrier against fungal infection. While most studies about commensal and pathogenic interaction of Candida species with host epithelia focus on the interaction with mucosal surfaces such as the vaginal and gastrointestinal epithelia, less is known about the mechanisms underlying Candida interaction with the skin. In this review, we focus on the ecology and molecular pathogenesis of Candida species on the skin and give an overview of defense mechanisms against C. albicans in this context. We also discuss new research avenues in dermal infection, including the involvement of neurons, fibroblasts, and commensal bacteria in both mouse and human model systems.

22 December 2014 in BMC Genomics
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Journal Article
Open access
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PRPauli Rämö
Pauli Rämö
ADAnna Drewek
Anna Drewek
CACécile Arrieumerlou
Cécile Arrieumerlou
NBNiko Beerenwinkel
Niko Beerenwinkel
HBHouchaima Ben-Tekaya
Houchaima Ben-Tekaya
CDChristoph Dehio
Christoph Dehio
Large-scale RNAi screening has become an important technology for identifying genes involved in biological processes of interest. However, the quality of large-scale RNAi screening is often deteriorated by off-targets effects. In order to find statistically significant effector genes for pathogen entry, we systematically analyzed entry pathways in human host cells for eight pathogens using image-based kinome-wide siRNA screens with siRNAs from three vendors. We propose a Parallel Mixed Model (PMM) approach that simultaneously analyzes several non-identical screens performed with the same RNAi libraries.