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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Bibliografische gegevens
Hoofdauteur: Tavassoly, Iman. (Auteur, http://id.loc.gov/vocabulary/relators/aut)
Coauteur: SpringerLink (Online service)
Formaat: Elektronisch E-boek
Taal:English
Gepubliceerd in: Cham : Springer International Publishing : Imprint: Springer, 2015.
Editie:1st ed. 2015.
Reeks:Springer Theses, Recognizing Outstanding Ph.D. Research,
Onderwerpen:
Online toegang:https://doi.org/10.1007/978-3-319-14962-2
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245 1 0 |a Dynamics of Cell Fate Decision Mediated by the Interplay of Autophagy and Apoptosis in Cancer Cells  |h [electronic resource] :  |b Mathematical Modeling and Experimental Observations /  |c by Iman Tavassoly. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XXI, 79 p. 47 illus., 1 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
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. 
650 0 |a Biomaterials. 
650 0 |a Bioinformatics. 
650 0 |a Cancer research. 
650 0 |a Cell biology. 
650 0 |a Biophysics. 
650 0 |a Biological physics. 
650 1 4 |a Biomaterials.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/Z13000 
650 2 4 |a Computational Biology/Bioinformatics.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I23050 
650 2 4 |a Cancer Research.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/B11001 
650 2 4 |a Cell Biology.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/L16008 
650 2 4 |a Biological and Medical Physics, Biophysics.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/P27008 
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950 |a Chemistry and Materials Science (SpringerNature-11644) 
950 |a Chemistry and Material Science (R0) (SpringerNature-43709)