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Network-scale engineering: Systems a...

Boyle, Patrick M.

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Network-scale engineering: Systems approaches to synthetic biology.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Network-scale engineering: Systems approaches to synthetic biology./
Author:	Boyle, Patrick M.
Description:	274 p.
Notes:	Source: Dissertation Abstracts International, Volume: 73-11(E), Section: B.
Contained By:	Dissertation Abstracts International73-11B(E).
Subject:	Biology, Cell. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3513902
ISBN:	9781267445339

Network-scale engineering: Systems approaches to synthetic biology.
Boyle, Patrick M.

Network-scale engineering: Systems approaches to synthetic biology. - 274 p.

Source: Dissertation Abstracts International, Volume: 73-11(E), Section: B.

Thesis (Ph.D.)--Harvard University, 2012.

The field of Synthetic Biology seeks to develop engineering principles for biological systems. Modular biological parts are repurposed and recombined to develop new synthetic biological devices with novel functions. The proper functioning of these devices is dependent on the cellular context provided by the host organism, and the interaction of these devices with host systems. The field of Systems Biology seeks to measure and model the properties of biological phenomena at the network scale. We present the application of systems biology approaches to synthetic biology, with particular emphasis on understanding and remodeling metabolic networks. Chapter 2 demonstrates the use of a Flux Balance Analysis model of the Saccharomyces cerevisiae metabolic network to identify and construct strains of S. cerevisiae that produced increased amounts of formic acid. Chapter 3 describes the development of synthetic metabolic pathways in Escherichia coli for the production of hydrogen, and a directed evolution strategy for hydrogenase enzyme improvement. Chapter 4 introduces the use of metabolomic profiling to investigate the role of circadian regulation in the metabolic network of the photoautotrophic cyanobacterium Synechococcus elongatus PCC 7942. Together, this work demonstrates the utility of network-scale approaches to understanding biological systems, and presents novel strategies for engineering metabolism.

ISBN: 9781267445339Subjects--Topical Terms:

1017686
Biology, Cell.

Network-scale engineering: Systems approaches to synthetic biology.
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245 1 0 $a Network-scale engineering: Systems approaches to synthetic biology.
300 $a 274 p.
500 $a Source: Dissertation Abstracts International, Volume: 73-11(E), Section: B.
500 $a Adviser: Pamela A. Silver.
502 $a Thesis (Ph.D.)--Harvard University, 2012.
520 $a The field of Synthetic Biology seeks to develop engineering principles for biological systems. Modular biological parts are repurposed and recombined to develop new synthetic biological devices with novel functions. The proper functioning of these devices is dependent on the cellular context provided by the host organism, and the interaction of these devices with host systems. The field of Systems Biology seeks to measure and model the properties of biological phenomena at the network scale. We present the application of systems biology approaches to synthetic biology, with particular emphasis on understanding and remodeling metabolic networks. Chapter 2 demonstrates the use of a Flux Balance Analysis model of the Saccharomyces cerevisiae metabolic network to identify and construct strains of S. cerevisiae that produced increased amounts of formic acid. Chapter 3 describes the development of synthetic metabolic pathways in Escherichia coli for the production of hydrogen, and a directed evolution strategy for hydrogenase enzyme improvement. Chapter 4 introduces the use of metabolomic profiling to investigate the role of circadian regulation in the metabolic network of the photoautotrophic cyanobacterium Synechococcus elongatus PCC 7942. Together, this work demonstrates the utility of network-scale approaches to understanding biological systems, and presents novel strategies for engineering metabolism.
590 $a School code: 0084.
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650 4 $a Biology, Systematic. $3 1676856
650 4 $a Biology, Genetics. $3 1017730
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