Team:Mexico-UNAM-IPN

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[[Team:Mexico-UNAM-IPN/Horizontal_Transfer| <font face="trebuchet ms" style="color:#2171B7"> '''<big>Horizontal Transfer</big>''' </font>]]
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[[Team:Mexico-UNAM-IPN/Turing_Patterns| <font face="trebuchet ms" style="color:#2171B7"> '''<big>Turing Patterns</big>''' </font>]]
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[[Team:Mexico-UNAM-IPN/About_us| <font face="trebuchet ms" style="color:#2171B7"> '''<big>About us</big>''' </font>]]
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[[Team:Mexico-UNAM-IPN/Suplemental| <font face="trebuchet ms" style="color:#2171B7"> '''<big>Suplemental</big>''' </font>]]
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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, and a lab notebook.  PLEASE keep all of your pages within your Team:Example namespace. 
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{| cellspacing="20"
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|<big>'''Horizontal Transfer''' </big> || <big>'''Turing Patterns'''</big>
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Horizontal gene transfer is an evolutionary mechanism that contributes to the acquisition of new genetic material among organisms; as such it helps bacteria to acquire antibiotic resistance and other genetic devices. The main goal is to design a devise that would detect events of horizontal gene transfer among bacteria.
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Genetically modified E. coli were monitored until a detectable sign appears in the media, indicating an event of horizontal transfer. In order to detect such events, we will use plasmids as the genetic material that could be transferred in a bacterial culture. </font></big>
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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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''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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|align="center"|[[Team:Mexico-UNAM-IPN | Team Example 2]]
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We are trying to reproduce Turing patterns using a genetic network. These spatial structures could in principle be generated by perturbing equilibrium configurations by the action of diffusion.
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!align="center"|[http://www.openwetware.org/wiki/IGEM:UNAM/2008 Home]
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!align="center"|[[Team:Mexico-UNAM-IPN/Team|The Team]]
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Although many mathematical models have been built based on these ideas in order to reproduce what is observed in biological systems, the identification of the actual substances that create the patterns (morphogenes) is still not clear. We propose a different approach, namely, to implement a genetic network in order to recover Turing patterns in a biological system[https://static.igem.org/mediawiki/2008/d/df/Saludos.JPG .] </font></big>
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!align="center"|[[Team:Mexico-UNAM-IPN/Project|The Project]]
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!align="center"|[[Team:Mexico-UNAM-IPN/Parts|Parts Submitted to the Registry]]
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!align="center"|[[Team:Mexico-UNAM-IPN/Modeling|Modeling]]
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!align="center"|[[Team:Mexico-UNAM-IPN/Notebook|Notebook]]
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Latest revision as of 02:53, 30 October 2008


Horizontal Transfer        Turing Patterns               About us        Suplemental       

Horizontal Transfer Turing Patterns

Horizontal gene transfer is an evolutionary mechanism that contributes to the acquisition of new genetic material among organisms; as such it helps bacteria to acquire antibiotic resistance and other genetic devices. The main goal is to design a devise that would detect events of horizontal gene transfer among bacteria.

Genetically modified E. coli were monitored until a detectable sign appears in the media, indicating an event of horizontal transfer. In order to detect such events, we will use plasmids as the genetic material that could be transferred in a bacterial culture.

Developed.JPG

We are trying to reproduce Turing patterns using a genetic network. These spatial structures could in principle be generated by perturbing equilibrium configurations by the action of diffusion.

Although many mathematical models have been built based on these ideas in order to reproduce what is observed in biological systems, the identification of the actual substances that create the patterns (morphogenes) is still not clear. We propose a different approach, namely, to implement a genetic network in order to recover Turing patterns in a biological system.

Undevelope.JPG

MacroproyectoLarge.JPG