Team:iHKU
From 2008.igem.org
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- | <td width="80%" align="left"><h1 class="style7 | + | <td width="80%" align="left"><h1 class="style7"> </h1> |
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<p>The ability of living organisms to form patterns is an untapped resource for synthetic biology. The HKU iGEM2008 team aims to generate unique patterns by rewiring the genetic circuitry controlling cell motility. Specifically, <em>E. coli</em> cells are programmed to autonomously regulate their movement by sensing local cell density. Interesting patterns are formed by two types of newly engineered cells. The high cell-density motility-off cells spread outwards and spontaneously form a distinctive ring of low cell density surrounded by rings of high cell density whilst the high cell-density motility-on cells form a Fuji-mountain-like structure. Moreover, we build a theoretical model that satisfactorily fits our current experimental data, and also predicts some parameters which may significantly affect the ring formation. The study of this self-organized spatial distribution of cells helps us to understand principles underlying the formation of natural biological patterns, and synthetic non-natural patterns have various potential applied uses</p> | <p>The ability of living organisms to form patterns is an untapped resource for synthetic biology. The HKU iGEM2008 team aims to generate unique patterns by rewiring the genetic circuitry controlling cell motility. Specifically, <em>E. coli</em> cells are programmed to autonomously regulate their movement by sensing local cell density. Interesting patterns are formed by two types of newly engineered cells. The high cell-density motility-off cells spread outwards and spontaneously form a distinctive ring of low cell density surrounded by rings of high cell density whilst the high cell-density motility-on cells form a Fuji-mountain-like structure. Moreover, we build a theoretical model that satisfactorily fits our current experimental data, and also predicts some parameters which may significantly affect the ring formation. The study of this self-organized spatial distribution of cells helps us to understand principles underlying the formation of natural biological patterns, and synthetic non-natural patterns have various potential applied uses</p> | ||
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Revision as of 16:29, 28 October 2008
 AbstractThe ability of living organisms to form patterns is an untapped resource for synthetic biology. The HKU iGEM2008 team aims to generate unique patterns by rewiring the genetic circuitry controlling cell motility. Specifically, E. coli cells are programmed to autonomously regulate their movement by sensing local cell density. Interesting patterns are formed by two types of newly engineered cells. The high cell-density motility-off cells spread outwards and spontaneously form a distinctive ring of low cell density surrounded by rings of high cell density whilst the high cell-density motility-on cells form a Fuji-mountain-like structure. Moreover, we build a theoretical model that satisfactorily fits our current experimental data, and also predicts some parameters which may significantly affect the ring formation. The study of this self-organized spatial distribution of cells helps us to understand principles underlying the formation of natural biological patterns, and synthetic non-natural patterns have various potential applied uses
OverviewiGEM2008 iHKU team aims to deliver you the most brilliant project this year. We come from departments of Biochemistry, Bioinformatics, Physics, and Chemistry. With different backgrounds and modalities of thought, we complement each other in developing new ideas, and in following wet/dry lab work (Team).
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