Hybrid mathematical modeling decodes the complexity of sphingolipid pathway to predict chemosensitivity
| Autor: | Rodrigo Mora-Rodriguez, Jose Arturo Molina-Mora, M Kop-Montero, Steve Quiros, Juan Luis Crespo-Mariño |
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| Rok vydání: | 2017 |
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| Zdroj: | IWOBI 2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI). IEEE Xplore, pp.80-85. |
| Popis: | Forma parte de los trabajos presentado en el International Conference and Workshop on Bioinspired Intelligence (IWOBI). IEEE, Estados Unidos. Julio de 2017. Sphingolipid (SL) signaling pathway is a complex biological system able to integrate different types of cellular stress signals related to induction of cell death pathways with special interest in cancer. This makes of the SL pathway a promising sensor of chemosensitivity and a target hub to overcome resistance. However, it is unclear how chemotherapeutic drugs can disturb the SL pathway and how the SL content modulates cellular fate. A hybrid mathematical model was proposed in order to integrate i) the metabolism of SL analogue (SM-BODIPY) modeled by an ordinary differential equation (ODE) approach, ii) a Gaussian mixture model (GMM) of the fluorescence features to identify how the SL pathway senses the effect of chemotherapeutic drugs and iii) a fuzzy logic model (FLM) to associate SL composition with cell viability by semi-quantitative rules. Altogether, this hybrid model approach was able to predict the cell viability of double experimental perturbations with chemotherapy, indicating that the SL pathway is a promising sensor to design strategies to overcome drug resistance in cancer. UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Centro de Investigación en Enfermedades Tropicales (CIET) UCR::Vicerrectoría de Docencia::Salud::Facultad de Microbiología |
| Databáze: | OpenAIRE |
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