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Continuum Modeling and Finite Element Analysis of Cell Motility.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Continuum Modeling and Finite Element Analysis of Cell Motility./
Author:	Hodge, Neil Eugene.
Description:	86 p.
Notes:	Source: Dissertation Abstracts International, Volume: 72-11, Section: B, page: 6843.
Contained By:	Dissertation Abstracts International72-11B.
Subject:	Applied Mechanics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3469289
ISBN:	9781124849522

Continuum Modeling and Finite Element Analysis of Cell Motility.
Hodge, Neil Eugene.

Continuum Modeling and Finite Element Analysis of Cell Motility. - 86 p.

Source: Dissertation Abstracts International, Volume: 72-11, Section: B, page: 6843.

Thesis (Ph.D.)--University of California, Berkeley, 2011.

Cell motility, and in particular crawling, is a complex process, with many as yet unknown details (e.g., sources of viscosity in the cell, precise structure of focal adhesions). However, various models of the motility of cells are emerging. These models concentrate on different aspects of cellular behavior, from the motion of a single cell itself, to -taxis behaviors, to population models. Models of single cells seem to vary significantly in their intended scope and the level of detail included.

ISBN: 9781124849522Subjects--Topical Terms:

845450
Applied Mechanics.

Continuum Modeling and Finite Element Analysis of Cell Motility.
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020 $a 9781124849522
035 $a (UMI)AAI3469289
035 $a AAI3469289
040 $a UMI $c UMI
100 1 $a Hodge, Neil Eugene. $3 845448
245 1 0 $a Continuum Modeling and Finite Element Analysis of Cell Motility.
300 $a 86 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-11, Section: B, page: 6843.
500 $a Adviser: Panayiotis Papadopoulos.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2011.
520 $a Cell motility, and in particular crawling, is a complex process, with many as yet unknown details (e.g., sources of viscosity in the cell, precise structure of focal adhesions). However, various models of the motility of cells are emerging. These models concentrate on different aspects of cellular behavior, from the motion of a single cell itself, to -taxis behaviors, to population models. Models of single cells seem to vary significantly in their intended scope and the level of detail included.
520 $a Most single cells are far too large and complex to be globally amenable to fine-scale modeling. At the same time, cells are subject to external and internal influences that are connected to their fine-scale structure. This work presents a continuum model, including the use of a continuum theory of surface growth, that will predict the crawling motion of the cell, with consideration made for the appropriate fine-scale dependencies.
520 $a This research addresses several modeling aspects. At the continuum level, the relationships between force and displacement in the bulk of the cell are modeled using the balance laws developed in continuum mechanics. Allowances are made for the treatment of and interaction between multiple protein species, as well as for the addition of various terms into the balance laws ( e.g., stresses generated by protein interactions). Various assumptions regarding the nature of cell crawling itself and its modeling are discussed. For instance, the extension of the lamellipod/detachment of the cell is viewed as a growth/resorption process. The model is derived without reference to dimensionality.
520 $a The second component of the presentation concerns the numerical implementation of the cell motility model. This is accomplished using finite elements, with special features (i.e., ALE, discontinuous elements) being used to handle certain stages of the motility. In particular, the growth assumption used to model the crawling motility is represented using ALE, while the strong discontinuities that arise out of the growth model are represented using the discontinuous elements. Results from representative finite element simulations are shown to illustrate the modeling capabilities.
590 $a School code: 0028.
650 4 $a Applied Mechanics. $3 845450
650 4 $a Applied Mathematics. $3 845392
650 4 $a Biology, Cell. $3 845451
690 $a 0346
690 $a 0364
690 $a 0379
710 2 $a University of California, Berkeley. $b Mechanical Engineering. $3 845449
773 0 $t Dissertation Abstracts International $g 72-11B.
790 1 0 $a Papadopoulos, Panayiotis, $e advisor
790 1 0 $a Papadopoulos, Panayiotis $e committee member
790 1 0 $a Keaveny, Tony M. $e committee member
790 1 0 $a Fletcher, Daniel A. $e committee member
790 $a 0028
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3469289