Spatial quantification and classification of skin response following perturbation using organotypic skin cultures

Motivation: For a mechanistic understanding of skin and its response to an induced perturbation, systems biology is gaining increasing attention. Unfortunately, quantitative and spatial expression data for skin, like for most other tissues, are almost not available.Results: Integrating organotypic s...

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Hauptverfasser: Pommerencke, Thora (VerfasserIn) , Westphal, Kathi (VerfasserIn) , Ernst, Claudia (VerfasserIn) , Safferling, Kai (VerfasserIn) , Dickhaus, Hartmut (VerfasserIn) , Steinberg, Thorsten (VerfasserIn) , Tomakidi, Pascal (VerfasserIn) , Grabe, Niels (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 16 September 2010
In: Bioinformatics
Year: 2010, Jahrgang: 26, Heft: 21, Pages: 2760-2766
ISSN:1367-4811
DOI:10.1093/bioinformatics/btq525
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/bioinformatics/btq525
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Verfasserangaben:Thora Pommerencke, Kathi Westphal, Claudia Ernst, Kai Safferling, Hartmut Dickhaus, Thorsten Steinberg, Pascal Tomakidi and Niels Grabe
Beschreibung
Zusammenfassung:Motivation: For a mechanistic understanding of skin and its response to an induced perturbation, systems biology is gaining increasing attention. Unfortunately, quantitative and spatial expression data for skin, like for most other tissues, are almost not available.Results: Integrating organotypic skin cultures, whole-slide scanning and subsequent image processing provides bioinformatics with a novel source of spatial expression data. We here used this approach to quantitatively describe the effect of treating organotypic skin cultures with sodium dodecyl sulphate in a non-corrosive concentration. We first measured the differentiation-related spatial expression gradient of Heat-Shock-Protein 27 in a time series of up to 24 h. Secondly, a multi-dimensional tissue classifier for predicting skin irritation was developed based on abstract features of these profiles. We obtained a high specificity of 0.94 and a sensitivity of 0.92 compared with manual classification. Our results demonstrate that the integration of tissue cultures, whole-slide scanning and image processing is well suited for both the standardized data acquisition for systems biological tissue models and a highly robust classification of tissue responses.Contact: niels.grabebioquant.uni-heidelberg.deSupplementary information: Supplementary data are available at Bioinformatics online.
Beschreibung:Gesehen am 04.05.2023
Beschreibung:Online Resource
ISSN:1367-4811
DOI:10.1093/bioinformatics/btq525