Dynamics of Cell Fate Decision Mediated by the Interplay of Autophagy and Apoptosis in Cancer Cells Mathematical Modeling and Experimental Observations /

This interdisciplinary thesis introduces a systems biology approach to study the cell fate decision mediated by autophagy. A mathematical model of interaction between Autophagy and Apoptosis in mammalian cells is proposed. In this dynamic model autophagy acts as a gradual response to stress (Rheosta...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Tavassoly, Iman (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Biomaterials.
Bioinformatics.
Cancer.
Cytology.
Biophysics.
Computational and Systems Biology.
Cancer Biology.
Cell Biology.
Acceso en línea:Texto Completo

MARC

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505 0 |a Introduction -- Mathematical Modeling of the Interplay of Autophagy and Apoptosis -- An Experimental Framework to Study the Dynamics of Autophagic Response -- Conclusions -- Source Code. 
520 |a This interdisciplinary thesis introduces a systems biology approach to study the cell fate decision mediated by autophagy. A mathematical model of interaction between Autophagy and Apoptosis in mammalian cells is proposed. In this dynamic model autophagy acts as a gradual response to stress (Rheostat) that delays the initiation of bistable switch of apoptosis to give the cells an opportunity to survive. The author shows that his dynamical model is consistent with existing quantitative measurements of time courses of autophagic responses to cisplatin treatment. To understand the function of this response in cancer cells, he has provided a systems biology experimental framework to study quantitative and dynamical aspects of autophagy in single cancer cells using live-cell imaging and quantitative fluorescence microscopy. This framework can provide new insights on function of autophagic response in cancer cells. 
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650 0 |a Bioinformatics. 
650 0 |a Cancer. 
650 0 |a Cytology. 
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650 2 4 |a Cell Biology. 
650 2 4 |a Biophysics. 
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