Team:UT Dallas/oscillator

From 2012.igem.org

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Revision as of 03:21, 4 October 2012

Distributive Computing Toolkit

In order to further aid the future competitors of iGem, we have included this distributive computing tool kit. This tool kit includes the biobricks that we have used in all of our projects that allowed us to build our multi-population systems. It is a foundation for all competitors to use in order to build a system of populations, whether it be one population, two populations or “n” number of populations. The toolkit is organized for easy access and understanding. All of the biobricks are organized by function. These categories include: intermediate, receiver, reporter, repressor, signalling and repressor.

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-<h2 class='title' style='font-size: 120%;'>Overview</h2>
+<h2 class='title' style='font-size: 120%;'>Distributive Computing Toolkit</h2>
-Our secondary project involved creating another toggle switch similar in nature to our first mechanism that would serve as a relationship between two different populations of bacteria. Our dual population toggle would be equivalent to our single population toggle in its use, but split up into two populations of cells. That is, the activation of one population would mean the deactivation of the other population. We hoped to achieve this by utilizing basic components as used in our single population toggle strain along with other parts that allowed the two strains to communicate with each other via quorum signalling. When one population was “deactivated” it would secrete quorum signalling molecules that would activate the creation of fluorescence proteins in the other population. The fluorescing population was considered to be in the “activated” state. In this state, inhibitor proteins would be created alongside the fluorescence proteins in order to turn off the production of signalling molecules.Similar to our single strain toggle switch, adding either IPTG or ATc would flip the switch from one state to the other by preventing the targeted inhibitor proteins from binding to their respective promoters.
+In order to further aid the future competitors of iGem, we have included this distributive computing tool kit. This tool kit includes the biobricks that we have used in all of our projects that allowed us to build our multi-population systems. It is a foundation for all competitors to use in order to build a system of populations, whether it be one population, two populations or “n” number of populations.
+The toolkit is organized for easy access and understanding. All of the biobricks are organized by function. These categories include: intermediate, receiver, reporter, repressor, signalling and repressor.