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Artificial cell-cell communication a...
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Chen, Ming-Tang.
Artificial cell-cell communication and multi-cellular pattern formation in yeast Saccharomyces cerevisiae.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial cell-cell communication and multi-cellular pattern formation in yeast Saccharomyces cerevisiae.
作者:
Chen, Ming-Tang.
面頁冊數:
140 p.
附註:
Adviser: Ron Weiss.
附註:
Source: Dissertation Abstracts International, Volume: 69-10, Section: B, page: .
Contained By:
Dissertation Abstracts International69-10B.
標題:
Biology, Molecular.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3332420
ISBN:
9780549841128
Artificial cell-cell communication and multi-cellular pattern formation in yeast Saccharomyces cerevisiae.
Chen, Ming-Tang.
Artificial cell-cell communication and multi-cellular pattern formation in yeast Saccharomyces cerevisiae.
- 140 p.
Adviser: Ron Weiss.
Thesis (Ph.D.)--Princeton University, 2008.
Collectively, this thesis advances the nascent field of synthetic biology by providing and characterizing useful modules for engineering yeast and demonstrating how these modules can be assembled into circuits that coordinate multicellular gene expression. All systems were forward engineered from simple and well characterized components and system behavior was fine-tuned by careful choice of network elements. These features facilitate correlation and validation of mathematical models, and can therefore help in quantitative understanding of similar naturally occurring systems. The combined experimental work and mathematical modeling of the systems presented here can benefit various biotechnology applications for yeast and higher-level eukaryotes, including fermentation processes, biomaterial fabrication, and tissue engineering.
ISBN: 9780549841128Subjects--Topical Terms:
226919
Biology, Molecular.
Artificial cell-cell communication and multi-cellular pattern formation in yeast Saccharomyces cerevisiae.
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Collectively, this thesis advances the nascent field of synthetic biology by providing and characterizing useful modules for engineering yeast and demonstrating how these modules can be assembled into circuits that coordinate multicellular gene expression. All systems were forward engineered from simple and well characterized components and system behavior was fine-tuned by careful choice of network elements. These features facilitate correlation and validation of mathematical models, and can therefore help in quantitative understanding of similar naturally occurring systems. The combined experimental work and mathematical modeling of the systems presented here can benefit various biotechnology applications for yeast and higher-level eukaryotes, including fermentation processes, biomaterial fabrication, and tissue engineering.
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In the first system, engineered yeast 'sender' cells synthesize the plant hormone cytokinin isopentenyl-adenine, which diffuses into environment and activates a hybrid exogenous/endogenous phosphorylation signaling pathway in nearby engineered yeast 'receiver' cells. For the second system, the sender network was integrated into the receivers under positive feedback regulation, resulting in population density-dependent gene expression (i.e. quorum sensing). For the third system, a programmed cell death module was put under the quorum sensing gene expression control. Because of relatively short distance that isopentenyl-adenine can diffuse on solid phase media, the system exhibited a high degree of spatiotemporal asynchrony, demonstrating complex, emergent global patterns that arise from simple intercellular interactions. In addition to the above experimental contributions, I have developed an ODE and a stochastic, individual-based spatiotemporal model. These models analyze how signal diffusion rates affect phenotype variations within a cell population. Finally I designed, modeled, and made initial experimental progress towards a system of cells that plays Conway's Game-of-life. These cells are engineered to live or die based on the density of their neighboring cells. This work demonstrates that the modular design approaches can be applied to engineer highly complex multicellular functionality.
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The construction of synthetic cell-cell communication and multicellular networks can improve quantitative understanding of naturally occurring signaling pathways and enhance our capabilities to engineer cellular behavior in populations. Towards accomplishing these goals in eukaryotes, this thesis establishes design, implementation, characterization, and analysis of an artificial cell-cell communication and synthetic multicellular systems in yeast Saccharomyces cerevisiae. Specifically, the systems integrate Arabidopsis thaliana signal synthesis and receptor components with yeast endogenous protein phosphorylation elements and new response promoters.
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