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How dynamic networks animate living ...

University of Washington.

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How dynamic networks animate living embryos.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	How dynamic networks animate living embryos./
Author:	von Dassow, George Robert Hartmann.
Description:	290 p.
Notes:	Chair: Garrett M. Odell.
Contained By:	Dissertation Abstracts International61-08B.
Subject:	Biology, Cell. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9983560
ISBN:	9780599895959

How dynamic networks animate living embryos.
von Dassow, George Robert Hartmann.

How dynamic networks animate living embryos. - 290 p.

Chair: Garrett M. Odell.

Thesis (Ph.D.)--University of Washington, 2000.

Thousands of gene products, interacting in dynamic networks, animate each living cell. Modern biology aims to comprehend mechanistically how such gene networks function, both during development and to maintain the differentiated state. Furthermore, it is a truism that morphological evolution results from heritable variation in developmental processes. For over a century biologists have employed the often-abstract notion of "developmental mechanisms": to evolutionary biologists, the developmental mechanism has been a black box transmuting genetic variation into phenotypic effects; to embryologists it has been an elusive entity characterized by its effects on form and responses to experimental perturbations; to geneticists, it has been a building not yet built. Only in the last two decades have real developmental mechanisms come to light, largely from developmental genetic study of model organisms, and the concept now finds grounding in the few well-studied cases in which decades of effort have culminated in nearly complete maps of entire genetic devices. However, even relatively simple, modular gene networks turn out to be so complex as to defy human intuition. Genome projects, DNA microarrays, and other experimental techniques promise to accelerate greatly the revelation of genetic networks. The imminent embarrassment of riches will confront biologists with the task of synthesizing vast bodies of experimental results, and the daunting task of comprehending gene networks consisting of dozens to hundreds of components. To make any sense of such complexity, biologists will need theoretical and computer tools as essential aids, not just for conceptual progress, but to guide experiments. This work describes the derivation and analysis of a family of computer simulation models of the segment polarity gene network from Drosophila. This is a pilot study using a general-purpose toolkit of mathematical methods and computer software, developed by the author and colleagues, for enabling the construction of highly-realistic, standardized simulations of gene network dynamics. Here I show that this approach yields not only specific, testable predictions about the genetic system being modeled, but also predicts systems-level properties of gene networks that could not have been anticipated from a mere list of parts and their interactions.

ISBN: 9780599895959Subjects--Topical Terms:

1017686
Biology, Cell.

How dynamic networks animate living embryos.
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245 1 0 $a How dynamic networks animate living embryos.
300 $a 290 p.
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500 $a Source: Dissertation Abstracts International, Volume: 61-08, Section: B, page: 3953.
502 $a Thesis (Ph.D.)--University of Washington, 2000.
520 $a Thousands of gene products, interacting in dynamic networks, animate each living cell. Modern biology aims to comprehend mechanistically how such gene networks function, both during development and to maintain the differentiated state. Furthermore, it is a truism that morphological evolution results from heritable variation in developmental processes. For over a century biologists have employed the often-abstract notion of "developmental mechanisms": to evolutionary biologists, the developmental mechanism has been a black box transmuting genetic variation into phenotypic effects; to embryologists it has been an elusive entity characterized by its effects on form and responses to experimental perturbations; to geneticists, it has been a building not yet built. Only in the last two decades have real developmental mechanisms come to light, largely from developmental genetic study of model organisms, and the concept now finds grounding in the few well-studied cases in which decades of effort have culminated in nearly complete maps of entire genetic devices. However, even relatively simple, modular gene networks turn out to be so complex as to defy human intuition. Genome projects, DNA microarrays, and other experimental techniques promise to accelerate greatly the revelation of genetic networks. The imminent embarrassment of riches will confront biologists with the task of synthesizing vast bodies of experimental results, and the daunting task of comprehending gene networks consisting of dozens to hundreds of components. To make any sense of such complexity, biologists will need theoretical and computer tools as essential aids, not just for conceptual progress, but to guide experiments. This work describes the derivation and analysis of a family of computer simulation models of the segment polarity gene network from Drosophila. This is a pilot study using a general-purpose toolkit of mathematical methods and computer software, developed by the author and colleagues, for enabling the construction of highly-realistic, standardized simulations of gene network dynamics. Here I show that this approach yields not only specific, testable predictions about the genetic system being modeled, but also predicts systems-level properties of gene networks that could not have been anticipated from a mere list of parts and their interactions.
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