大葉大學圖書館 |

Dynamics of cell fate decision mediated by the interplay of autophagy and apoptosis in cancer cells[electronic resource] :mathematical modeling and experimental observations /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	571.8636
書名/作者:	Dynamics of cell fate decision mediated by the interplay of autophagy and apoptosis in cancer cells : mathematical modeling and experimental observations // by Iman Tavassoly.
作者:	Tavassoly, Iman.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xxi, 79 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Cell determination - Mathematical models.
標題:	Apoptosis - Mathematical models.
標題:	Cell determination - Observations.
標題:	Apoptosis - Observations.
標題:	Cancer cells.
標題:	Materials Science.
標題:	Biomaterials.
標題:	Computational Biology/Bioinformatics.
標題:	Cancer Research.
標題:	Cell Biology.
標題:	Biophysics and Biological Physics.
ISBN:	9783319149622 (electronic bk.)
ISBN:	9783319149615 (paper)
內容註:	Introduction -- Mathematical Modeling of the Interplay of Autophagy and Apoptosis -- An Experimental Framework to Study the Dynamics of Autophagic Response -- Conclusions -- Source Code.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-14962-2

Dynamics of cell fate decision mediated by the interplay of autophagy and apoptosis in cancer cells[electronic resource] :mathematical modeling and experimental observations /
Tavassoly, Iman.

Dynamics of cell fate decision mediated by the interplay of autophagy and apoptosis in cancer cellsmathematical modeling and experimental observations /[electronic resource] :by Iman Tavassoly. - Cham :Springer International Publishing :2015. - xxi, 79 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Mathematical Modeling of the Interplay of Autophagy and Apoptosis -- An Experimental Framework to Study the Dynamics of Autophagic Response -- Conclusions -- Source Code.

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.

ISBN: 9783319149622 (electronic bk.)

Standard No.: 10.1007/978-3-319-14962-2doiSubjects--Topical Terms:

606792
Cell determination
--Mathematical models.

LC Class. No.: QL963.5

Dewey Class. No.: 571.8636

Dynamics of cell fate decision mediated by the interplay of autophagy and apoptosis in cancer cells[electronic resource] :mathematical modeling and experimental observations /
LDR:02255nam a2200349 a 4500 001 426585
003 DE-He213
005 20150915104534.0
006 m d
007 cr nn 008maaau
008 151119s2015 gw s 0 eng d
020 $a 9783319149622 (electronic bk.)
020 $a 9783319149615 (paper)
024 7 $a 10.1007/978-3-319-14962-2 $2 doi
035 $a 978-3-319-14962-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QL963.5
072 7 $a TGM $2 bicssc
072 7 $a TCB $2 bicssc
072 7 $a TEC021000 $2 bisacsh
072 7 $a SCI009000 $2 bisacsh
082 0 4 $a 571.8636 $2 23
090 $a QL963.5 $b .T231 2015
100 1 $a Tavassoly, Iman. $3 606791
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xxi, 79 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $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 Cell determination $x Mathematical models. $3 606792
650 0 $a Apoptosis $x Mathematical models. $3 606793
650 0 $a Cell determination $x Observations. $3 606794
650 0 $a Apoptosis $x Observations. $3 606795
650 0 $a Cancer cells. $3 464370
650 1 4 $a Materials Science. $3 463741
650 2 4 $a Biomaterials. $3 464277
650 2 4 $a Computational Biology/Bioinformatics. $3 463480
650 2 4 $a Cancer Research. $3 463530
650 2 4 $a Cell Biology. $3 463594
650 2 4 $a Biophysics and Biological Physics. $3 464224
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Springer theses. $3 463746
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-14962-2
950 $a Chemistry and Materials Science (Springer-11644)