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• W2963819114 abstract "Summary Mucormycoses are life‐threatening infections that affect patients suffering from immune deficiencies. We performed phagocytosis assays confronting various strains of Lichtheimia species with alveolar macrophages, which form the first line of defence of the innate immune system. To investigate 17 strains from four different continents in a comparative fashion, transmitted light and confocal fluorescence microscopy was applied in combination with automated image analysis. This interdisciplinary approach enabled the objective and quantitative processing of the big volume of image data. Applying machine‐learning supported methods, a spontaneous clustering of the strains was revealed in the space of phagocytic measures. This clustering was not driven by measures of fungal morphology but rather by the geographical origin of the fungal strains. Our study illustrates the crucial contribution of machine‐learning supported automated image analysis to the qualitative discovery and quantitative comparison of major factors affecting host–pathogen interactions. We found that the phagocytic vulnerability of Lichtheimia species depends on their geographical origin, where strains within each geographic region behaved similarly, but strongly differed amongst the regions. Based on this clustering, we were able to also classify clinical isolates with regard to their potential geographical origin." @default.
• W2963819114 created "2019-07-30" @default.
• W2963819114 creator A5013458682 @default.
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• W2963819114 date "2019-08-05" @default.
• W2963819114 modified "2023-10-17" @default.
• W2963819114 title "The geographical region of origin determines the phagocytic vulnerability of <i>Lichtheimia</i> strains" @default.
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• W2963819114 doi "https://doi.org/10.1111/1462-2920.14752" @default.
• W2963819114 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31330072" @default.
• W2963819114 hasPublicationYear "2019" @default.
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