http://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&feed=atom&action=historyTeam:ETH Zurich/project/overview/summary - Revision history2024-03-29T00:24:39ZRevision history for this page on the wikiMediaWiki 1.16.5http://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=391786&oldid=prevDanger: /* Mosaicoli : from simplicity to complexity with biologic gates */2014-10-18T02:49:53Z<p><span class="autocomment">Mosaicoli : from simplicity to complexity with biologic gates</span></p>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a [[Team:ETH_Zurich/lab/chip|3D-printed millifluidic chip]]. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically [[Team:ETH_Zurich/project/background#Pattern|pre-programmed logic rule]]. Complex patterns such as Sierpinski triangles are visualized by fluorescence after [[Team:ETH_Zurich/expresults#Diffusion_On_Chip|several steps of row-wise propagation]]. Sequential logic computation based on quorum sensing is challenged by [[Team:ETH_Zurich/expresults#Quorum_Sensing|leakiness and crosstalk]] present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a [[Team:ETH_Zurich/lab/chip|3D-printed millifluidic chip]]. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically [[Team:ETH_Zurich/project/background#Pattern|pre-programmed logic rule]]. Complex patterns such as Sierpinski triangles are visualized by fluorescence after [[Team:ETH_Zurich/expresults#Diffusion_On_Chip|several steps of row-wise propagation]]. Sequential logic computation based on quorum sensing is challenged by [[Team:ETH_Zurich/expresults#Quorum_Sensing|leakiness and crosstalk]] present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, <ins class="diffchange diffchange-inline">[[Team:ETH_Zurich/expresults#Riboregulators|</ins>riboregulators<ins class="diffchange diffchange-inline">]] </ins>and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td></tr>
</table>Dangerhttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=391701&oldid=prevDanger: /* Mosaicoli : from simplicity to complexity with biologic gates */2014-10-18T02:49:13Z<p><span class="autocomment">Mosaicoli : from simplicity to complexity with biologic gates</span></p>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a [[Team:ETH_Zurich/lab/chip|3D-printed millifluidic chip]]. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically [[Team:ETH_Zurich/project/background#Pattern|pre-programmed logic rule]]. Complex patterns such as Sierpinski triangles are visualized by fluorescence after [[Team:ETH_Zurich/expresults#Diffusion_On_Chip|several steps of row-wise propagation]]. Sequential logic computation based on quorum sensing is challenged by [[<del class="diffchange diffchange-inline">https://2014.igem.org/</del>Team:ETH_Zurich/expresults#Quorum_Sensing|leakiness and crosstalk]] present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a [[Team:ETH_Zurich/lab/chip|3D-printed millifluidic chip]]. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically [[Team:ETH_Zurich/project/background#Pattern|pre-programmed logic rule]]. Complex patterns such as Sierpinski triangles are visualized by fluorescence after [[Team:ETH_Zurich/expresults#Diffusion_On_Chip|several steps of row-wise propagation]]. Sequential logic computation based on quorum sensing is challenged by [[Team:ETH_Zurich/expresults#Quorum_Sensing|leakiness and crosstalk]] present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td></tr>
</table>Dangerhttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=391679&oldid=prevDanger at 02:49, 18 October 20142014-10-18T02:49:03Z<p></p>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a [[Team:ETH_Zurich/lab/chip|3D-printed millifluidic chip]]. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically [[Team:ETH_Zurich/project/background#Pattern|pre-programmed logic rule]]. Complex patterns such as Sierpinski triangles are visualized by fluorescence after [[Team:ETH_Zurich/expresults#Diffusion_On_Chip|several steps of row-wise propagation]]. Sequential logic computation based on quorum sensing is challenged by leakiness and crosstalk present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a [[Team:ETH_Zurich/lab/chip|3D-printed millifluidic chip]]. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically [[Team:ETH_Zurich/project/background#Pattern|pre-programmed logic rule]]. Complex patterns such as Sierpinski triangles are visualized by fluorescence after [[Team:ETH_Zurich/expresults#Diffusion_On_Chip|several steps of row-wise propagation]]. Sequential logic computation based on quorum sensing is challenged by <ins class="diffchange diffchange-inline">[[https://2014.igem.org/Team:ETH_Zurich/expresults#Quorum_Sensing|</ins>leakiness and crosstalk<ins class="diffchange diffchange-inline">]] </ins>present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td></tr>
</table>Dangerhttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=391502&oldid=prevDanger: /* Mosaicoli : from simplicity to complexity with biologic gates */2014-10-18T02:47:44Z<p><span class="autocomment">Mosaicoli : from simplicity to complexity with biologic gates</span></p>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a 3D-printed millifluidic chip. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically pre-programmed logic rule. Complex patterns such as Sierpinski triangles are visualized by fluorescence after several steps of row-wise propagation. Sequential logic computation based on quorum sensing is challenged by leakiness and crosstalk present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a <ins class="diffchange diffchange-inline">[[Team:ETH_Zurich/lab/chip|</ins>3D-printed millifluidic chip<ins class="diffchange diffchange-inline">]]</ins>. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically <ins class="diffchange diffchange-inline">[[Team:ETH_Zurich/project/background#Pattern|</ins>pre-programmed logic rule<ins class="diffchange diffchange-inline">]]</ins>. Complex patterns such as Sierpinski triangles are visualized by fluorescence after <ins class="diffchange diffchange-inline">[[Team:ETH_Zurich/expresults#Diffusion_On_Chip|</ins>several steps of row-wise propagation<ins class="diffchange diffchange-inline">]]</ins>. Sequential logic computation based on quorum sensing is challenged by leakiness and crosstalk present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td></tr>
</table>Dangerhttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=200855&oldid=prevClormeau: /* Mosaicoli : from simplicity to complexity with biologic gates */2014-10-12T11:46:39Z<p><span class="autocomment">Mosaicoli : from simplicity to complexity with biologic gates</span></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>== Mosai''coli'' : from simplicity to complexity with bio''logic'' gates ==</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>== Mosai''coli'' : from simplicity to complexity with bio''logic'' gates ==</div></td></tr>
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</table>Clormeauhttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=190688&oldid=prevEledieu at 07:57, 11 October 20142014-10-11T07:57:05Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>== Mosai''coli'' : from simplicity to complexity with bio''logic'' gates ==</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>== Mosai''coli'' : from simplicity to complexity with bio''logic'' gates ==</div></td></tr>
</table>Eledieuhttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=186892&oldid=prevClormeau: /* Abstract */2014-10-10T16:07:12Z<p><span class="autocomment">Abstract</span></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>== Mosai''coli'' : from simplicity to complexity with bio''logic'' gates ==</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>== Mosai''coli'' : from simplicity to complexity with bio''logic'' gates ==</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a 3D-printed millifluidic chip. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically pre-programmed logic rule. Complex patterns such as Sierpinski triangles are visualized by fluorescence after several steps of row-wise propagation. Sequential logic computation based on quorum sensing is challenged by leakiness and crosstalk present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a 3D-printed millifluidic chip. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically pre-programmed logic rule. Complex patterns such as Sierpinski triangles are visualized by fluorescence after several steps of row-wise propagation. Sequential logic computation based on quorum sensing is challenged by leakiness and crosstalk present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td></tr>
</table>Clormeauhttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=183630&oldid=prevClormeau: /* Scientific abstract */2014-10-10T09:55:13Z<p><span class="autocomment">Scientific abstract</span></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a 3D-printed millifluidic chip. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically pre-programmed logic rule. Complex patterns such as Sierpinski triangles are visualized by fluorescence after several steps of row-wise propagation. Sequential logic computation based on quorum sensing is challenged by leakiness and crosstalk present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Emergence of complex patterns in nature is a fascinating and widely spread phenomenon, which is not fully understood yet. Mosai''coli'' aims to investigate emergence of complex patterns from a simple rule by engineering a cellular automaton into ''E. coli'' bacteria. This automaton comprises a grid of colonies on a 3D-printed millifluidic chip. Each colony is either in an ON or OFF state and updates its state by integrating signals from its neighbors according to a genetically pre-programmed logic rule. Complex patterns such as Sierpinski triangles are visualized by fluorescence after several steps of row-wise propagation. Sequential logic computation based on quorum sensing is challenged by leakiness and crosstalk present in biological systems. Mosai''coli'' overcomes these issues by exploiting multichannel orthogonal communication, riboregulators and integrase-based XOR logic gates. Engineering such a reliable system not only enables a better understanding of emergent patterns, but also provides novel building blocks for biological computers.</div></td></tr>
</table>Clormeauhttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=179126&oldid=prevLnadine: /* Mosai"coli" : from simplicity to complexity with biologic gates */2014-10-09T13:28:23Z<p><span class="autocomment">Mosai"coli" : from simplicity to complexity with biologic gates</span></p>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>== Mosai<del class="diffchange diffchange-inline">"</del>coli<del class="diffchange diffchange-inline">" </del>: from simplicity to complexity with bio''logic'' gates ==</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>== Mosai<ins class="diffchange diffchange-inline">''</ins>coli<ins class="diffchange diffchange-inline">'' </ins>: from simplicity to complexity with bio''logic'' gates ==</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>=====Scientific abstract=====</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>=====Scientific abstract=====</div></td></tr>
</table>Lnadinehttp://2014.igem.org/wiki/index.php?title=Team:ETH_Zurich/project/overview/summary&diff=179121&oldid=prevLnadine: /* Mosaicoli : from simplicity to complexity with biologic gates */2014-10-09T13:27:51Z<p><span class="autocomment">Mosaicoli : from simplicity to complexity with biologic gates</span></p>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>== <del class="diffchange diffchange-inline">Mosaicoli </del>: from simplicity to complexity with bio''logic'' gates ==</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>== <ins class="diffchange diffchange-inline">Mosai"coli" </ins>: from simplicity to complexity with bio''logic'' gates ==</div></td></tr>
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</table>Lnadine