Difference between revisions of "Team:NUS Singapore/Overview"

 
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<body>
 
<body>
 
         <h1>Overview</h1>
 
         <h1>Overview</h1>
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  <div class="columnfull">
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        <p>We have carried out extensive modelling of various kill switch designs to study and gain insights into the behaviours of the designs. Here, you will find details about how we did it and the interesting results that we obtained!</p>
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</div>
 
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<p>With the advancement in the field of synthetic biology, scientists have successfully engineered microbes to combat challenges in various fields such as medicine, energy, and environment. These genetically engineered microbes are however not commercialized due to the risk of bacteria escaping from the targeted host into the environment. To address this issue, we develop the NUSgem Kill-switch Toolkit that enables users to build customized and effective kill-switches for different applications. This toolkit consists of a library of characterized sensors, logic gates, and killing systems. </p>
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        <h2>Methodology</h2>
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<p>Methodology describes the process we use to develop each of our models. Here you can find information about the modelling principles, our equations and modelling workflow.</p>
 
</div>
 
</div>
  
 
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<button class="button"><span><a href="https://2017.igem.org/Team:NUS_Singapore/Model">Methodology</a></span></button>
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<button class="button"><span><a href="https://2017.igem.org/Team:NUS_Singapore/Methodology">Methodology details</a></span></button>
 
</div>
 
</div>
  
 
<div class="clear"></div>
 
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<p>With the advancement in the field of synthetic biology, scientists have successfully engineered microbes to combat challenges in various fields such as medicine, energy, and environment. These genetically engineered microbes are however not commercialized due to the risk of bacteria escaping from the targeted host into the environment. To address this issue, we develop the NUSgem Kill-switch Toolkit that enables users to build customized and effective kill-switches for different applications. This toolkit consists of a library of characterized sensors, logic gates, and killing systems. </p>
+
      <h2>Kill switch for probiotics</h2>
 +
<p>The kill switch for probiotics is a successful proof of concept that demonstrates how our E2 chassis and modelling workflow make the engineering of customised kill switches for engineered probiotics easier. Using this model, our experimenters successfuly constructed the phosphate-temperature cascaded system with GFP reporter <a href="http://parts.igem.org/Part:BBa_K2447015">(BBa_K2447015)</a>. Here you can find the modelling workflow and modelling results that proves our design works!</p>
 
</div>
 
</div>
  
 
<div class="columnright">
 
<div class="columnright">
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<button class="button"><span><a href="https://2017.igem.org/Team:NUS_Singapore/Model_P">Kill-switch for probiotics</a></span></button>
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<button class="button"><span><a href="https://2017.igem.org/Team:NUS_Singapore/Model_P">Kill switch for probiotics details</a></span></button>
 
</div>
 
</div>
  
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<p>With the advancement in the field of synthetic biology, scientists have successfully engineered microbes to combat challenges in various fields such as medicine, energy, and environment. These genetically engineered microbes are however not commercialized due to the risk of bacteria escaping from the targeted host into the environment. To address this issue, we develop the NUSgem Kill-switch Toolkit that enables users to build customized and effective kill-switches for different applications. This toolkit consists of a library of characterized sensors, logic gates, and killing systems. </p>
+
        <h2>Kill switch for BeeT</h2>
 +
<p>To further demonstrate our workflow is applicable to other kill switch, here we used our modelling workflow to suggest improvement to the kill switch for BeeT, Wageningen iGEM2016's engineered bacteria programmed to kill mites in beehive. We proposed a number of improvements (e.g., increasing specificity and efficiency) to their kill switch using our toolkit and CELLO, and developed a model to study the new design. Click to find out how the new design works in silico! </p>
 
</div>
 
</div>
  
 
<div class="columnright">
 
<div class="columnright">
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<button class="button"><span><a href="https://2017.igem.org/Team:NUS_Singapore/Model_B">Kill-switch for BeeT </a></span></button>
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<button class="button"><span><a href="https://2017.igem.org/Team:NUS_Singapore/Model_B">Kill switch for BeeT details</a></span></button>
 
</div>
 
</div>
  

Latest revision as of 12:33, 1 November 2017

Measurement Modelling Medal Check List
Team Member Attributions
Collaboration
Silver Up Gold Integrated
Overview Methodology Kill Switch for Probiotics Kill Switch for BeeT
Description Interlab Study Parts Experiment Documentation Improvement Demonstrate Safety Future Works
Home

Overview

We have carried out extensive modelling of various kill switch designs to study and gain insights into the behaviours of the designs. Here, you will find details about how we did it and the interesting results that we obtained!

Methodology

Methodology describes the process we use to develop each of our models. Here you can find information about the modelling principles, our equations and modelling workflow.

Kill switch for probiotics

The kill switch for probiotics is a successful proof of concept that demonstrates how our E2 chassis and modelling workflow make the engineering of customised kill switches for engineered probiotics easier. Using this model, our experimenters successfuly constructed the phosphate-temperature cascaded system with GFP reporter (BBa_K2447015). Here you can find the modelling workflow and modelling results that proves our design works!

Kill switch for BeeT

To further demonstrate our workflow is applicable to other kill switch, here we used our modelling workflow to suggest improvement to the kill switch for BeeT, Wageningen iGEM2016's engineered bacteria programmed to kill mites in beehive. We proposed a number of improvements (e.g., increasing specificity and efficiency) to their kill switch using our toolkit and CELLO, and developed a model to study the new design. Click to find out how the new design works in silico!