A confocal microscopy image analysis method to measure adhesion and internalization of Pseudomonas aeruginosa multicellular structures into epithelial cells
Formation of multicellular structures such as biofilms is an important feature in the physiopathology of many disease-causing bacteria. We recently reported that Pseudomonas aeruginosa adheres to epithelial cells rapidly forming early biofilm-like aggregates, which can then be internalized into cell...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/32351 |
| Acceso en línea: | http://hdl.handle.net/11336/32351 |
| Access Level: | acceso abierto |
| Palabra clave: | Pseudomonas Aeruginosa Adhesion Internalization Multicellular Structures Image Analysis https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
| Sumario: | Formation of multicellular structures such as biofilms is an important feature in the physiopathology of many disease-causing bacteria. We recently reported that Pseudomonas aeruginosa adheres to epithelial cells rapidly forming early biofilm-like aggregates, which can then be internalized into cells. Conventional methods to measure adhesion/internalization, such as dilution plating for total cell-associated or antibiotic protected bacteria, do not distinguish between single and aggregated bacteria. We report a procedure that combining double bacteria labeling, confocal microscopy and image analysis allows identification and quantification of the number of adhered and internalized bacteria distinguishing between single and aggregated bacterial cells. A plugin for Fiji to automatically perform these procedures has been generated. |
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