Team:EPF-Lausanne

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{{EPFL/Header}}
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You are provided with this team page template with which to start the iGEM season.  You may choose to personalize it to fit your team but keep the same "look." Or you may choose to take your team wiki to a different level and design your own wiki.  You can find some examples <a href="https://2008.igem.org/Help:Template/Examples">HERE</a>.
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[[Image:logo_epfl.gif|200px|right|frame]]
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<div style="font-size:28pt;"><center>Genetic Network Generating Spatial Patterns</center></div>
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|You can write a background of your team here.  Give us a background of your team, the members, etc.  Or tell us more about something of your choosing.
 
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|align="center"|[[Team:EPF-Lausanne | Team Example 2]]
 
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<div style="font-size:28pt;"><center>Through Cell-Cell Communication</center></div>
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!align="center"|[[Team:EPF-Lausanne|Home]]
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<div style="font-size:28pt;"><center>and Controlled Information Processing</center></div>
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!align="center"|[[Team:EPF-Lausanne/Team|The Team]]
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!align="center"|[[Team:EPF-Lausanne/Project|The Project]]
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<div align="center">[[Image:chip_small_blue4.jpg|900px]]</div>
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!align="center"|[[Team:EPF-Lausanne/Parts|Parts Submitted to the Registry]]
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!align="center"|[[Team:EPF-Lausanne/Modeling|Modeling]]
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!align="center"|[[Team:EPF-Lausanne/Notebook|Notebook]]
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(''Or you can choose different headings. But you must have a team page, a project page, and a notebook page.'')
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==Abstract==
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Biological systems are unique in their ability to combine information and energy to generate complex entities. Genetically encoded networks drive many of these patterning processes. Furthermore, developmental studies have highlighted the importance of gradient formation and cell-cell communication for the generation of cellular patterns in the early stages of life. It has been shown that simple networks can form both static and dynamic patterns. Nonetheless, a system whose pattern formation is dependent on combinations of multiple signals has yet to be demonstrated. Here we address this question by designing a network, involving two different quorum-sensing based signaling mechanisms. <br>Upon introduction in ''E.coli'', the system can sense the relative amounts of two input molecules. Using a pre-define set of rules which was selected on its ability to generate spatial patterns, the cell can then express its final state by emitting red or green fluorescence and transmit its state to its neighbors.</div>
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</td><td>[[Image:epfl_cow.png|400px]]</td>
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{{EPFL/Header}}

Latest revision as of 17:35, 29 October 2008

Actu image 968 1 FR.jpg



Genetic Network Generating Spatial Patterns


Through Cell-Cell Communication


and Controlled Information Processing


Chip small blue4.jpg



Abstract

Biological systems are unique in their ability to combine information and energy to generate complex entities. Genetically encoded networks drive many of these patterning processes. Furthermore, developmental studies have highlighted the importance of gradient formation and cell-cell communication for the generation of cellular patterns in the early stages of life. It has been shown that simple networks can form both static and dynamic patterns. Nonetheless, a system whose pattern formation is dependent on combinations of multiple signals has yet to be demonstrated. Here we address this question by designing a network, involving two different quorum-sensing based signaling mechanisms.
Upon introduction in E.coli, the system can sense the relative amounts of two input molecules. Using a pre-define set of rules which was selected on its ability to generate spatial patterns, the cell can then express its final state by emitting red or green fluorescence and transmit its state to its neighbors.
Epfl cow.png

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