Difference between revisions of "Team:BostonU/JudgingCriteria"

 
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     <td class="tg-5mgg">2. <a href="https://2017.igem.org/Team:BostonU/Collaboration">Collaboration</a></td>
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     <td class="tg-5mgg">2. <a href="https://2017.igem.org/Team:BostonU/Collaborations">Collaboration</a></td>
 
     <td class="tg-le8v">We collaborated with the BostonU_Hardware team towards a future application of our project: microfluidics. We first provided feedback on the protocols that they developed for assembling and using a microfluidic chip. They built a preliminary microfluidic chip that we could eventually be used to house our cell free tests. We tested this preliminary design by running colored dye through it. We then provided feedback on the chip’s design and how it could be improved.<br><br>We also collaborated with MIT to test the potential for their RNA,binding protein MS2 to sterically protect our RNA trigger from,exonuclease degradation. They added hairpin loop structure at one end of,our trigger sequence for MS2 protein to bind.</td>
 
     <td class="tg-le8v">We collaborated with the BostonU_Hardware team towards a future application of our project: microfluidics. We first provided feedback on the protocols that they developed for assembling and using a microfluidic chip. They built a preliminary microfluidic chip that we could eventually be used to house our cell free tests. We tested this preliminary design by running colored dye through it. We then provided feedback on the chip’s design and how it could be improved.<br><br>We also collaborated with MIT to test the potential for their RNA,binding protein MS2 to sterically protect our RNA trigger from,exonuclease degradation. They added hairpin loop structure at one end of,our trigger sequence for MS2 protein to bind.</td>
 
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     <td class="tg-1q0s">2. <a href="https://2017.igem.org/Team:BostonU/Modeling">Modeling</a></td>
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     <td class="tg-1q0s">2. <a href="https://2017.igem.org/Team:BostonU/Model">Modeling</a></td>
 
     <td class="tg-hht7"> We characterized the expression capacity of our in-house cell-free system using a logistic dose response model. The goal of our model was to determine optimal DNA concentrations to be used in our cell-free system, which would then inform our future experimental setup. Our initial thoughts were that the expression could be modeled using a single logistic curve that describes the carrying capacity of the system. We found that instead, the model required a double logistic curve in which one curve is subtracted from the other. We believe that one curves represents the carrying capacity, while the other represents mechanical burnout of molecular components when overloaded with DNA. This model helped us determine that maximum expression is achieved when approximately 20 nM concentrations of DNA are added to the cell-free system.  </td>
 
     <td class="tg-hht7"> We characterized the expression capacity of our in-house cell-free system using a logistic dose response model. The goal of our model was to determine optimal DNA concentrations to be used in our cell-free system, which would then inform our future experimental setup. Our initial thoughts were that the expression could be modeled using a single logistic curve that describes the carrying capacity of the system. We found that instead, the model required a double logistic curve in which one curve is subtracted from the other. We believe that one curves represents the carrying capacity, while the other represents mechanical burnout of molecular components when overloaded with DNA. This model helped us determine that maximum expression is achieved when approximately 20 nM concentrations of DNA are added to the cell-free system.  </td>
 
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Latest revision as of 18:34, 1 November 2017

MEDAL CRITERIA FULFILLMENT