http://2009.igem.org/wiki/index.php?title=Team:IPN-UNAM-Mexico/Front&feed=atom&action=historyTeam:IPN-UNAM-Mexico/Front - Revision history2024-03-29T09:42:49ZRevision history for this page on the wikiMediaWiki 1.16.5http://2009.igem.org/wiki/index.php?title=Team:IPN-UNAM-Mexico/Front&diff=163113&oldid=prevCjdg at 01:14, 22 October 20092009-10-22T01:14:51Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>We implement the model by means of a couple of sets of BioBricks corresponding to both the self activating and inhibitory modules. </div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>We implement the model by means of a couple of sets of BioBricks corresponding to both the self activating and inhibitory modules. </div></td></tr>
<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Self-activation dynamics is given by BioBricks form the las operon, while the inhibitory part is provided by BioBricks from the lux operon. We use the bacterial quorum sensing based on signaling given by the concentration of different lactones to provide the reaction-diffusion mechanism responsible for the formation of Turing patterns. </div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Self-activation dynamics is given by BioBricks form the las operon, while the inhibitory part is provided by BioBricks from the lux operon. We use the bacterial quorum sensing based on signaling given by the concentration of different lactones to provide the reaction-diffusion mechanism responsible for the formation of Turing patterns.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins class="diffchange diffchange-inline">[[Image:800px-Pterois zebra.jpg|240px|Zebra Fish|right]]</ins></div></td></tr>
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</table>Cjdghttp://2009.igem.org/wiki/index.php?title=Team:IPN-UNAM-Mexico/Front&diff=163025&oldid=prevCjdg at 01:11, 22 October 20092009-10-22T01:11:52Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div><center><h2>Self-emerging patterns in an activator-inhibitor network</h2></center></div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div><center><h2>Self-emerging patterns in an activator-inhibitor network</h2></center></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">[[Image:800px-Amur leopard01 960.jpg|thumb|240px|leopard spots pattern|left]]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>How do patterns emerge from a homogeneous population of cells? How can cells "know" their fate? Can we build up a system able to reproduce jaguar's spots or zebra's stripes on a bacterial colony?</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>How do patterns emerge from a homogeneous population of cells? How can cells "know" their fate? Can we build up a system able to reproduce jaguar's spots or zebra's stripes on a bacterial colony?</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Self-activation dynamics is given by BioBricks form the las operon, while the inhibitory part is provided by BioBricks from the lux operon. We use the bacterial quorum sensing based on signaling given by the concentration of different lactones to provide the reaction-diffusion mechanism responsible for the formation of Turing patterns. </div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Self-activation dynamics is given by BioBricks form the las operon, while the inhibitory part is provided by BioBricks from the lux operon. We use the bacterial quorum sensing based on signaling given by the concentration of different lactones to provide the reaction-diffusion mechanism responsible for the formation of Turing patterns. </div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>The lactones diffuse and interact with the network within the cells, this network responds to the presence of lactones in the medium; thus providing the reaction part of the system</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>The lactones diffuse and interact with the network within the cells, this network responds to the presence of lactones in the medium; thus providing the reaction part of the system</div></td></tr>
</table>Cjdghttp://2009.igem.org/wiki/index.php?title=Team:IPN-UNAM-Mexico/Front&diff=162695&oldid=prevCjdg at 01:03, 22 October 20092009-10-22T01:03:29Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>We implement the model by means of a couple of sets of BioBricks corresponding to both the self activating and inhibitory modules. </div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>We implement the model by means of a couple of sets of BioBricks corresponding to both the self activating and inhibitory modules. </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Self-activation dynamics is given by BioBricks form the las operon, while the inhibitory part is provided by BioBricks from the lux operon. We use the bacterial quorum sensing based on signaling given by the concentration of different lactones to provide the reaction-diffusion mechanism responsible for the formation of Turing patterns. </div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Self-activation dynamics is given by BioBricks form the las operon, while the inhibitory part is provided by BioBricks from the lux operon. We use the bacterial quorum sensing based on signaling given by the concentration of different lactones to provide the reaction-diffusion mechanism responsible for the formation of Turing patterns. </div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">[[Image:Leopard.jpg|thumb|200px|leopard spots pattern|right]]</ins></div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>The lactones diffuse and interact with the network within the cells, this network responds to the presence of lactones in the medium; thus providing the reaction part of the system</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>The lactones diffuse and interact with the network within the cells, this network responds to the presence of lactones in the medium; thus providing the reaction part of the system</div></td></tr>
</table>Cjdghttp://2009.igem.org/wiki/index.php?title=Team:IPN-UNAM-Mexico/Front&diff=162492&oldid=prevIsui at 00:57, 22 October 20092009-10-22T00:57:28Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>The importance of our work relies on the fact that we can show that the action of morphogens as originally proposed by Turing is equivalent to the effect of diffusion of chemicals interacting with a genetic network.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>The importance of our work relies on the fact that we can show that the action of morphogens as originally proposed by Turing is equivalent to the effect of diffusion of chemicals interacting with a genetic network.</div></td></tr>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div> </div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins class="diffchange diffchange-inline">In a few words with this project we show that we can synthetically build a pattern on a selforganizing network without explicitely coding the pattern into the genome.</ins></div></td></tr>
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</table>Isuihttp://2009.igem.org/wiki/index.php?title=Team:IPN-UNAM-Mexico/Front&diff=158877&oldid=prevCjdg at 23:05, 21 October 20092009-10-21T23:05:09Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div><center><h1>Turing meets synthetic biology:</h1></center></div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div><center><h1>Turing meets synthetic biology:</h1></center></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td></tr>
<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div><center><h2><del class="diffchange diffchange-inline">self</del>-emerging patterns in an activator-inhibitor network<del class="diffchange diffchange-inline">[[Image:V_IPNUNAMMexico.JPG |110px]]</del></h2></center></div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><center><h2><ins class="diffchange diffchange-inline">Self</ins>-emerging patterns in an activator-inhibitor network</h2></center></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td></tr>
<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div><del class="diffchange diffchange-inline">We present </del>a <del class="diffchange diffchange-inline">synthetic network that emulates an activator-inhibitor </del>system<del class="diffchange diffchange-inline">. Our goal is </del>to <del class="diffchange diffchange-inline">show that spatio-temporal structures can be generated by the behavior of </del>a <del class="diffchange diffchange-inline">genetic regulatory network.</del></div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins class="diffchange diffchange-inline">How do patterns emerge from a homogeneous population of cells? How can cells "know" their fate? Can we build up </ins>a system <ins class="diffchange diffchange-inline">able </ins>to <ins class="diffchange diffchange-inline">reproduce jaguar's spots or zebra's stripes on </ins>a <ins class="diffchange diffchange-inline">bacterial colony?</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td></tr>
<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div><del class="diffchange diffchange-inline">We implement </del>the <del class="diffchange diffchange-inline">model by means </del>of <del class="diffchange diffchange-inline">several biobricks. We construct </del>a <del class="diffchange diffchange-inline">self activating module and correspondingly </del>an <del class="diffchange diffchange-inline">inhibitory one</del>.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins class="diffchange diffchange-inline">The first mexican project on synthetic biology first proposed in 2006, inspired on </ins>the <ins class="diffchange diffchange-inline">work </ins>of <ins class="diffchange diffchange-inline">Alan Turing in morphogenesis, presents </ins>a <ins class="diffchange diffchange-inline">synthetic network that emulates </ins>an <ins class="diffchange diffchange-inline">activator-inhibitor system. Our goal is to show that spatio-temporal structures can be generated by the behavior of a genetic regulatory network</ins>. </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td></tr>
<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Self-activation dynamics is given by the las operon, while the inhibitory part is provided by the lux operon. <del class="diffchange diffchange-inline">Quorum </del>sensing <del class="diffchange diffchange-inline">and diffusion </del>of <del class="diffchange diffchange-inline">AHL </del>provide the reaction-diffusion mechanism responsible for the formation of Turing patterns.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins class="diffchange diffchange-inline">We implement the model by means of a couple of sets of BioBricks corresponding to both the self activating and inhibitory modules. </ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Self-activation dynamics is given by <ins class="diffchange diffchange-inline">BioBricks form </ins>the las operon, while the inhibitory part is provided by <ins class="diffchange diffchange-inline">BioBricks from </ins>the lux operon. <ins class="diffchange diffchange-inline">We use the bacterial quorum </ins>sensing <ins class="diffchange diffchange-inline">based on signaling given by the concentration </ins>of <ins class="diffchange diffchange-inline">different lactones to </ins>provide the reaction-diffusion mechanism responsible for the formation of Turing patterns<ins class="diffchange diffchange-inline">. </ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins class="diffchange diffchange-inline">The lactones diffuse and interact with the network within the cells, this network responds to the presence of lactones in the medium; thus providing the reaction part of the system</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins class="diffchange diffchange-inline">The importance of our work relies on the fact that we can show that the action of morphogens as originally proposed by Turing is equivalent to the effect of diffusion of chemicals interacting with a genetic network</ins>.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"></td></tr>
<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div><del style="color: red; font-weight: bold; text-decoration: none;">The importance of our work relies on the fact that we show that the action of the morphogenes as originally proposed by Turing is equivalent to the effect of diffusion of chemicals interacting with the synthetic network, which accounts for the reactive part, a possibility implicit in Turing’s original work in the context of morphogenesis of biological patterns.</del></div></td><td colspan="2"> </td></tr>
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</table>Cjdghttp://2009.igem.org/wiki/index.php?title=Team:IPN-UNAM-Mexico/Front&diff=126226&oldid=prevCjdg: New page: {{Template:IPN-UNAM-Mexico}} <center><h1>Turing meets synthetic biology:</h1></center> <center><h2>self-emerging patterns in an activator-inhibitor network[[Image:V_IPNUNAMMexico.JPG |11...2009-10-20T09:07:16Z<p>New page: {{Template:IPN-UNAM-Mexico}} <center><h1>Turing meets synthetic biology:</h1></center> <center><h2>self-emerging patterns in an activator-inhibitor network[[Image:V_IPNUNAMMexico.JPG |11...</p>
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<center><h2>self-emerging patterns in an activator-inhibitor network[[Image:V_IPNUNAMMexico.JPG |110px]]</h2></center><br />
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We present a synthetic network that emulates an activator-inhibitor system. Our goal is to show that spatio-temporal structures can be generated by the behavior of a genetic regulatory network.<br />
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We implement the model by means of several biobricks. We construct a self activating module and correspondingly an inhibitory one.<br />
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Self-activation dynamics is given by the las operon, while the inhibitory part is provided by the lux operon. Quorum sensing and diffusion of AHL provide the reaction-diffusion mechanism responsible for the formation of Turing patterns.<br />
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The importance of our work relies on the fact that we show that the action of the morphogenes as originally proposed by Turing is equivalent to the effect of diffusion of chemicals interacting with the synthetic network, which accounts for the reactive part, a possibility implicit in Turing’s original work in the context of morphogenesis of biological patterns.<br />
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