A Polyclonal SELEX Aptamer Library Allows Differentiation of Candida albicans, C. auris and C. parapsilosis Cells from Human Dermal Fibroblasts

Easy and reliable identification of pathogenic species such as yeasts, emerging as problematic microbes originating from the genus Candida, is a task in the management and treatment of infections, especially in hospitals and other healthcare environments. Aptamers are seizing an already indispensabl...

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Veröffentlicht in:Journal of fungi (Basel) 2022-08, Vol.8 (8), p.856
Hauptverfasser: Kneißle, Katharina, Krämer, Markus, Kissmann, Ann-Kathrin, Xing, Hu, Müller, Franziska, Amann, Valerie, Noschka, Reiner, Gottschalk, Kay-Eberhard, Bozdogan, Anil, Andersson, Jakob, Weil, Tanja, Spellerberg, Barbara, Stenger, Steffen, Rosenau, Frank
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Sprache:eng
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Zusammenfassung:Easy and reliable identification of pathogenic species such as yeasts, emerging as problematic microbes originating from the genus Candida, is a task in the management and treatment of infections, especially in hospitals and other healthcare environments. Aptamers are seizing an already indispensable role in different sensing applications as binding entities with almost arbitrarily tunable specificities and optimizable affinities. Here, we describe a polyclonal SELEX library that not only can specifically recognize and fluorescently label Candida cells, but is also capable to differentiate C. albicans, C. auris and C. parapsilosis cells in flow-cytometry, fluorometric microtiter plate assays and fluorescence microscopy from human cells, exemplified here by human dermal fibroblasts. This offers the opportunity to develop diagnostic tools based on this library. Moreover, these specific and robust affinity molecules could also serve in the future as potent binding entities on biomaterials and as constituents of technical devices and will thus open avenues for the development of cost-effective and easily accessible next generations of electronic biosensors in clinical diagnostics and novel materials for the specific removal of pathogenic cells from human bio-samples.
ISSN:2309-608X
2309-608X
DOI:10.3390/jof8080856