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010   $a3-319-14962-8
024 7 $a10.1007/978-3-319-14962-2
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035   $a(DE-He213)978-3-319-14962-2
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035   $a(PPN)184499240
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100   $a20150216d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aDynamics of Cell Fate Decision Mediated by the Interplay of Autophagy and Apoptosis in Cancer Cells $eMathematical Modeling and Experimental Observations /$fby Iman Tavassoly
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (99 p.)
225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
300   $a"Doctoral thesis accepted by Virginia Polytechnic Institute and State University, USA."
311   $a3-319-14961-X 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- Mathematical Modeling of the Interplay of Autophagy and Apoptosis -- An Experimental Framework to Study the Dynamics of Autophagic Response -- Conclusions -- Source Code.
330   $aThis interdisciplinary thesis introduces a systems biology approach to study the cell fate decision mediated by autophagy. A mathematical model of interaction between Autophagy and Apoptosis in mammalian cells is proposed. In this dynamic model autophagy acts as a gradual response to stress (Rheostat) that delays the initiation of bistable switch of apoptosis to give the cells an opportunity to survive. The author shows that his dynamical model is consistent with existing quantitative measurements of time courses of autophagic responses to cisplatin treatment. To understand the function of this response in cancer cells, he has provided a systems biology experimental framework to study quantitative and dynamical aspects of autophagy in single cancer cells using live-cell imaging and quantitative fluorescence microscopy. This framework can provide new insights on function of autophagic response in cancer cells.
410  0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
606   $aBiomaterials
606   $aBioinformatics
606   $aCancer$xResearch
606   $aCytology
606   $aBiophysics
606   $aBiophysics
606   $aBiomaterials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z13000
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aCancer Research$3https://scigraph.springernature.com/ontologies/product-market-codes/B11001
606   $aCell Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L16008
606   $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008
615  0$aBiomaterials.
615  0$aBioinformatics.
615  0$aCancer$xResearch.
615  0$aCytology.
615  0$aBiophysics.
615  0$aBiophysics.
615 14$aBiomaterials.
615 24$aComputational Biology/Bioinformatics.
615 24$aCancer Research.
615 24$aCell Biology.
615 24$aBiological and Medical Physics, Biophysics.
676   $a571.936
700   $aTavassoly$b Iman$4aut$4http://id.loc.gov/vocabulary/relators/aut$0974039
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298618803321
996   $aDynamics of Cell Fate Decision Mediated by the Interplay of Autophagy and Apoptosis in Cancer Cells$92217256
997   $aUNINA