Difference between revisions of "Template:Greece/Medals"

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               </li>
 
               </li>
 
               <li style='padding-bottom: 40px'><span><b>Improve a previous part or project:</b> </span></li>
 
               <li style='padding-bottom: 40px'><span><b>Improve a previous part or project:</b> </span></li>
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               <li><span><b>Model our project:</b> The entirety of our classifier circuit design, ranging from miRNA selection to circuit topology, was based on insights we gained from our modeling. </span></li>
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               <li><span><b>Model our project:</b> The entirety of our classifier circuit design, ranging from miRNA selection to circuit topology, was based on insights we gained from our modeling. </span>         <ul id='sub5'>
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              <li><span>Furthermore, we designed our experimental protocols for bacterial invasion and  transfection using data obtained from our models. You can read all about <a href='https://2017.igem.org/Team:Greece/RNAi_Classifier_Design'>our models</a> and how we integrated them to our <a href='https://2017.igem.org/Team:Greece/ProjectDesign'>design</a>.</span></li>
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                  <li><span>Furthermore, we designed our experimental protocols for bacterial invasion and  transfection using data obtained from our models. You can read all about <a href='https://2017.igem.org/Team:Greece/RNAi_Classifier_Design'>our models</a> and how we integrated them to our <a href='https://2017.igem.org/Team:Greece/ProjectDesign'>design</a>.</span></li>
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                </ul>
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              </li>
 
               <li><span><b>Demonstrate your project works:</b> In our proof of concept experiment, we transformed Caco-2, the cell line that our logic circuit classifies, along with A549 and HEK-293 as controls with our RNAi-based classifier and demonstrated that our circuit can indeed perform identification and subsequent actuation of the pre-programmed response. In addition, we successfully utilized our engineered bacteria to achieve transfection of a plasmid coding for a fluorescent protein to our cell lines. You can read more about our results <a href='https://2017.igem.org/Team:Greece/Results'>here</a>.</span></li>
 
               <li><span><b>Demonstrate your project works:</b> In our proof of concept experiment, we transformed Caco-2, the cell line that our logic circuit classifies, along with A549 and HEK-293 as controls with our RNAi-based classifier and demonstrated that our circuit can indeed perform identification and subsequent actuation of the pre-programmed response. In addition, we successfully utilized our engineered bacteria to achieve transfection of a plasmid coding for a fluorescent protein to our cell lines. You can read more about our results <a href='https://2017.igem.org/Team:Greece/Results'>here</a>.</span></li>
 
             </ul>
 
             </ul>

Revision as of 22:37, 27 October 2017

Bronze Silver Gold
  • Compete: We successfully registered in March, had a great and educational summer and are looking forward to present our work at the Giant Jamboree and meet the other teams.
  • Deliverables: Completed all of competition’s deliverables.
    • We created our wiki and documented our entire project.
    • We plan to present our poster and our project in the Giant Jamboree.
    • We completed all of the safety forms as well as the judging form.
    • We created and documented Registry pages for the parts we made.
    • Submitted DNA samples of our parts.
  • Attributions: We presented our project’s attributions in a creative way in order to give credit to everyone who offered their support, be it financial assistance, supplying lab materials or invaluable advice.
  • Contribution: We participated in this year’s Interlab study. You can read all about our findings here.
  • Validated Part: We validated the following parts
  • Collaborations: Throughout our iGEM journey, we collaborated with 6 teams and documented our give and take relationship on our designated Collaborations page. In addition, we engaged every iGEM team to participate in our OSIRIS protocol.
  • Human Practices: We conducted an excessive risk assessment analysis of our project, received biosafety training, reached out to the international scientific community to receive feedback and reflected on our project’s potential impact on cancer treatment through a short comic strip.
    • All information regarding the aforementioned efforts is documented here.
  • Integrated Human Practices: We created a modular protocol that can be applied on any project, aiming to get quantitative feedback from experts from all over the world and analyzed the results to identify and tackle our design’s shortcomings.Multiple points from experts were finally integrated into our project.
    • You can read our documentation regarding this long and fruitful process here.
    • Our OSIRIS protocol can be found here.
  • Improve a previous part or project:
  • Model our project: The entirety of our classifier circuit design, ranging from miRNA selection to circuit topology, was based on insights we gained from our modeling.
    • Furthermore, we designed our experimental protocols for bacterial invasion and transfection using data obtained from our models. You can read all about our models and how we integrated them to our design.
  • Demonstrate your project works: In our proof of concept experiment, we transformed Caco-2, the cell line that our logic circuit classifies, along with A549 and HEK-293 as controls with our RNAi-based classifier and demonstrated that our circuit can indeed perform identification and subsequent actuation of the pre-programmed response. In addition, we successfully utilized our engineered bacteria to achieve transfection of a plasmid coding for a fluorescent protein to our cell lines. You can read more about our results here.