Team:UANL Mty-Mexico/Project

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== Overview ==
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This is a template page. READ THESE INSTRUCTIONS.
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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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You <strong>MUST</strong> have a team description page, a project abstract, a complete project description, a lab notebook, and a safety page.  PLEASE keep all of your pages within your teams namespace. 
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Information processing through living things remains a challenge to science. Logic-gate based genetic circuits to program bacteria have been constructed, allowing the achievement of more complex answers.<sup>[[Team:UANL_Mty-Mexico#References|1]]</sup> This represents an incredible advance from previous systems that require one input for every output seeking to control.
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The main purpose of our project is to achieve a new way for regulating gene expression through logic gates that globally perform a complex answer. It aims at building a genetic circuit that enables a bacterial community to interpret a simple light-based code. The community will be constituted by different ''E. coli'' clones that communicate with each other and overall interpret the code. We consider this an advantageous approach since compartmentalizing the circuit lowers the construction size and metabolic charge per cell. Different genotypes in each clone will give them the capability to take green or red light as gene-expression stimulating input. We pursue to control the independent expression of five different products by using wavelength light patterns.
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|You can write a background of your team hereGive us a background of your team, the members, etc.  Or tell us more about something of your choosing.
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''Tell us more about your project. Give us background. Use this is the abstract of your project. Be descriptive but concise (1-2 paragraphs)''
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|[[Image:UANL_Mty-Mexico_team.png|right|frame|Your team picture]]
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|align="center"|[[Team:UANL_Mty-Mexico | Team Example]]
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Although the concept does not depend on the type of input, light will be a plus to our project as it is an elegant non-invasive way to input a genetic circuit. To our knowledge, every logic-gate based genetic circuit constructed so far uses chemical inputs.<sup>[[Team:UANL_Mty-Mexico#References|1]]</sup> Nevertheless, light sensing proteins have been successfully characterized in the last few years;<sup>[[Team:UANL_Mty-Mexico#References|2]], [[Team:UANL_Mty-Mexico#References|3]]</sup> therefore, we think there is a great potential on combining both types of devices into genetic circuits that take light as input.
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{| style="color:#1b2c8a;background-color:#0c6;" cellpadding="3" cellspacing="1" border="1" bordercolor="#fff" width="62%" align="center"
 
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!align="center"|[[Team:UANL_Mty-Mexico|Home]]
 
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!align="center"|[[Team:UANL_Mty-Mexico/Team|Team]]
 
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!align="center"|[https://igem.org/Team.cgi?year=2010&team_name=UANL_Mty-Mexico Official Team Profile]
 
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!align="center"|[[Team:UANL_Mty-Mexico/Project|Project]]
 
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!align="center"|[[Team:UANL_Mty-Mexico/Parts|Parts Submitted to the Registry]]
 
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!align="center"|[[Team:UANL_Mty-Mexico/Modeling|Modeling]]
 
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!align="center"|[[Team:UANL_Mty-Mexico/Notebook|Notebook]]
 
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!align="center"|[[Team:UANL_Mty-Mexico/Safety|Safety]]
 
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!align="center"|[[Team:UANL_Mty-Mexico/Attributions|Attributions]]
 
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== References ==
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# Tamsir A, Tabor JJ, Voigt CA. (2010). Robust multicellular computing using genetically encoded NOR gates and chemical ‘wires’. ''Nature''. '''469''': 212-215.
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== '''Overall project''' ==
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# Levskaya A, ''et al''. (2005). Synthetic 674 biology: engineering ''Escherichia coli'' to see light. ''Nature''. '''438:''' 441–442.
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# Tabor JJ, Levskaya A, Voigt CA. (2010). Multichromatic Control of Gene Expression in ''Escherichia coli''. ''J. Mol. Biol.'' '''405''': 315-324.
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Your abstract
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== Project Details==
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=== Part 2 ===
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=== The Experiments ===
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=== Part 3 ===
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== Results ==
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Latest revision as of 21:24, 25 July 2011

 

 

Overview

Information processing through living things remains a challenge to science. Logic-gate based genetic circuits to program bacteria have been constructed, allowing the achievement of more complex answers.1 This represents an incredible advance from previous systems that require one input for every output seeking to control.

The main purpose of our project is to achieve a new way for regulating gene expression through logic gates that globally perform a complex answer. It aims at building a genetic circuit that enables a bacterial community to interpret a simple light-based code. The community will be constituted by different E. coli clones that communicate with each other and overall interpret the code. We consider this an advantageous approach since compartmentalizing the circuit lowers the construction size and metabolic charge per cell. Different genotypes in each clone will give them the capability to take green or red light as gene-expression stimulating input. We pursue to control the independent expression of five different products by using wavelength light patterns.

Although the concept does not depend on the type of input, light will be a plus to our project as it is an elegant non-invasive way to input a genetic circuit. To our knowledge, every logic-gate based genetic circuit constructed so far uses chemical inputs.1 Nevertheless, light sensing proteins have been successfully characterized in the last few years;2, 3 therefore, we think there is a great potential on combining both types of devices into genetic circuits that take light as input.


References

  1. Tamsir A, Tabor JJ, Voigt CA. (2010). Robust multicellular computing using genetically encoded NOR gates and chemical ‘wires’. Nature. 469: 212-215.
  2. Levskaya A, et al. (2005). Synthetic 674 biology: engineering Escherichia coli to see light. Nature. 438: 441–442.
  3. Tabor JJ, Levskaya A, Voigt CA. (2010). Multichromatic Control of Gene Expression in Escherichia coli. J. Mol. Biol. 405: 315-324.