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Immune Cell-Supplemented Human Skin Model for Studying Fungal Infections

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Human Fungal Pathogen Identification

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1508))

Abstract

Human skin is a niche for various fungal species which either colonize the surface of this tissue as commensals or, primarily under conditions of immunosuppression, invade the skin and cause infection. Here we present a method for generation of a human in vitro skin model supplemented with immune cells of choice. This model represents a complex yet amenable tool to study molecular mechanisms of host–fungi interactions at human skin.

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Interfacial Engineering and Biotechnology, Nobelstrasse 12, Stuttgart, 70569, Germany

    Andreas Kühbacher, Kai Sohn & Anke Burger-Kentischer

  2. Institute of Interfacial Process Engineering and Plasma Technology, University of Stuttgart, Nobelstrasse. 12, Stuttgart, 70569, Germany

    Kai Sohn

  3. Fraunhofer Institut für Grenzflächenund Bioverfahrenstechnik, Nobelstr. 12, Stuttgart, 70569, Germany

    Steffen Rupp

  4. Institut für Grenzflächenverfahrenstechnik undPlasmatechnologie, Universität Stuttgart, Nobelstr. 12, Stuttgart, 70569, Germany

    Steffen Rupp

Authors
  1. Andreas Kühbacher
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  2. Kai Sohn
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  3. Anke Burger-Kentischer
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  4. Steffen Rupp
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Corresponding author

Correspondence to Steffen Rupp .

Editor information

Editors and Affiliations

  1. Children’s Cancer Research Institute (CCRI), St.Anna Kinderkrebsforschung, Vienna, Austria

    Thomas Lion

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Kühbacher, A., Sohn, K., Burger-Kentischer, A., Rupp, S. (2017). Immune Cell-Supplemented Human Skin Model for Studying Fungal Infections. In: Lion, T. (eds) Human Fungal Pathogen Identification. Methods in Molecular Biology, vol 1508. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6515-1_25

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  • DOI: https://doi.org/10.1007/978-1-4939-6515-1_25

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6513-7

  • Online ISBN: 978-1-4939-6515-1

  • eBook Packages: Springer Protocols

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