Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/55193
Título: | Agent-based model of diffusion of N-acyl homoserine lactones in a multicellular environment of Pseudomonas aeruginosa and Candida albicans |
Autor(es): | Pérez-Rodríguez, Gael Dias, Sónia Pérez-Pérez, Martín Fdez-Riverola, Florentino Azevedo, Nuno Filipe Ribeiro Pinto Oliveira Lourenço, Anália Maria Garcia |
Palavras-chave: | Cellular systems quorum-sensing signalling agent-based modelling three-dimensional model representation individual molecule simulation |
Data: | 2018 |
Editora: | Taylor and Francis |
Revista: | Biofouling: The Journal of Bioadhesion and Biofilm Research |
Citação: | Pérez-Rodríguez, Gael; Dias, Sónia; Pérez-Pérez, Martín; Fdez-Riverola, Florentino; Azevedo, Nuno F.; Lourenço, Anália, Agent-based model of diffusion of N-acyl homoserine lactones in a multicellular environment of Pseudomonas aeruginosa and Candida albicans. Biofouling - The Journal of Bioadhesion and Biofilm Research, 341(3), 335-345, 2018 |
Resumo(s): | Experimental incapacity to track microbemicrobe interactions in structures like biofilms, and the complexity inherent to the mathematical modelling of those interactions, raises the need for feasible, alternative modelling approaches. This work proposes an agent-based representation of the diffusion of N-acyl homoserine lactones (AHL) in a multicellular environment formed by Pseudomonas aeruginosa and Candida albicans. Depending on the spatial location, C. albicans cells were variably exposed to AHLs, an observation that might help explain why phenotypic switching of individual cells in biofilms occurred at different time points. The simulation and algebraic results were similar for simpler scenarios, although some statistical differences could be observed (p<0.05). The model was also successfully applied to a more complex scenario representing a small multicellular environment containing C. albicans and P. aeruginosa cells encased in a 3-D matrix. Further development of this model may help create a predictive tool to depict biofilm heterogeneity at the single-cell level. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/55193 |
DOI: | 10.1080/08927014.2018.1440392 |
ISSN: | 0892-7014 |
e-ISSN: | 1029-2454 |
Versão da editora: | http://www.tandfonline.com/action/journalInformation?journalCode=gbif20 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_47475_1.pdf | 2,8 MB | Adobe PDF | Ver/Abrir |