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Springer Theses

Dynamics of Cell Fate Decision Mediated by the Interplay of Autophagy and Apoptosis in Cancer Cells

Mathematical Modeling and Experimental Observations

Authors: Tavassoly, Iman

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  • Nominated by Virginia Tech University as an outstanding Ph.D. thesis
  • Provides new insights on function of autophagic response in cancer cells
  • Integrates the existing cell fate decision process into a mathematical model mediated by autophagy
  • Demonstrates that the dynamical model is consistent with existing quantitative measurements of time courses of autophagic responses to cisplatin treatment
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eBook $99.00
price for USA in USD
  • ISBN 978-3-319-14962-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
Softcover $129.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: November 18, 2016
  • ISBN 978-3-319-36512-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
About this book

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.

About the authors

Iman Tavassoly (MD, PhD) is a physician-scientist working at Icahn School of Medicine at Mount Sinai and Systems Biology Center New York. His research interests include systems biology of complex diseases and cancer biology. He graduated from medical school in 2007 and received his PhD in Genetics, Bioinformatics and Computational Biology at Virginia Tech where he was awarded as the outstanding interdisciplinary program doctoral student. 

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-319-14962-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
Softcover $129.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: November 18, 2016
  • ISBN 978-3-319-36512-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
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Bibliographic Information

Bibliographic Information
Book Title
Dynamics of Cell Fate Decision Mediated by the Interplay of Autophagy and Apoptosis in Cancer Cells
Book Subtitle
Mathematical Modeling and Experimental Observations
Authors
Series Title
Springer Theses
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-14962-2
DOI
10.1007/978-3-319-14962-2
Hardcover ISBN
978-3-319-14961-5
Softcover ISBN
978-3-319-36512-1
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XXI, 79
Number of Illustrations
46 b/w illustrations, 1 illustrations in colour
Topics