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<h3>★  ALERT! </h3>
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<p>This page is used by the judges to evaluate your team for the <a href="https://2017.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2017.igem.org/Judging/Awards"> award listed above</a>. </p>
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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2017.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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<h1>Measurement</h1>
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<p>There are a lot of exciting parts in the Registry, but many parts have still not been characterized. Synthetic Biology needs great measurement approaches for characterizing new parts, and efficient new methods for characterizing many parts at once. If you've done something exciting in the area of Measurement, describe it here!</p>
 
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<h3>Best Innovation in Measurement Special Prize</h3>
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<h2 class="border" style="margin-top: 5vh; text-align: center">Measurements</h2>
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<p>If you've done excellent work in measurement, you should consider nominating your team for this special prize. Designing great measurement approaches for characterizing new parts or developing and implementing an efficient new method for characterizing thousands of parts are good examples.
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Design of Experiments (DoE) is a statistical method that allowed us to design the most efficient experiments to determine the factors that influence the expression of our PPK enzyme and the expression of our Eut (microcompartment) proteins. By using DoE, we can efficiently explore a very large experimental space in a small number of experiments, allowing us to test multiple hypotheses at once in a rapid and robust manner. Performing our measurements using the statistical tools of DoE allowed us to develop an improved understanding of the experimental factors affecting protein expression in the Phosphostore system, within the limited time frame available for an iGEM project.
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Other variations of DoE allow thorough mapping of the experimental space, which would allow rapid characterisation of parts in a broad range of conditions. Thorough characterisation of parts using DoE-based methodology can allow accurate predictions of part behaviour in variable conditions.
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We used DoE to optimise expression of a polyphosphate kinase construct: <a href="http://parts.igem.org/Part:BBa_K2213005"><b> PduD(1-20)_mCherry_cgPPK</b></a>
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To see how we did this, look at or <a href="https://2017.igem.org/Team:Manchester/Model/DoE"><b>Design of Experiments</b></a> section
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We also used DoE to optimise expression of the Eut micro-compartment structural gene operons <a href="http://parts.igem.org/Part:BBa_K2213001"><b> Tet_EutMN</b></a> and <a href="http://parts.igem.org/Part:BBa_K2213002"><b> araB_eutLK</b></a>
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To compete for the <a href="https://2017.igem.org/Judging/Awards">Best Innovation in Measurement prize</a>, please describe your work on this page and also fill out the description on the <a href="https://2017.igem.org/Judging/Judging_Form">judging form</a>.
 
 
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You must also delete the message box on the top of this page to be eligible for this prize.
 
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<h5>Inspiration</h5>
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<p>You can look at what other teams did to get some inspiration! <br />
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Here are a few examples:</p>
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<li><a href="https://2016.igem.org/Team:Stanford-Brown">2016 Stanford-Brown</a></li>
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<li><a href="https://2016.igem.org/Team:Genspace">2016 Genspace</a></li>
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<li><a href="https://2015.igem.org/Team:William_and_Mary">2015 William and Mary</a></li>
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<li><a href="https://2014.igem.org/Team:Aachen">2014 Aachen  </a></li>
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Latest revision as of 03:53, 2 November 2017

HOME
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Measurements


Design of Experiments (DoE) is a statistical method that allowed us to design the most efficient experiments to determine the factors that influence the expression of our PPK enzyme and the expression of our Eut (microcompartment) proteins. By using DoE, we can efficiently explore a very large experimental space in a small number of experiments, allowing us to test multiple hypotheses at once in a rapid and robust manner. Performing our measurements using the statistical tools of DoE allowed us to develop an improved understanding of the experimental factors affecting protein expression in the Phosphostore system, within the limited time frame available for an iGEM project.

Other variations of DoE allow thorough mapping of the experimental space, which would allow rapid characterisation of parts in a broad range of conditions. Thorough characterisation of parts using DoE-based methodology can allow accurate predictions of part behaviour in variable conditions.

We used DoE to optimise expression of a polyphosphate kinase construct: PduD(1-20)_mCherry_cgPPK
To see how we did this, look at or Design of Experiments section

We also used DoE to optimise expression of the Eut micro-compartment structural gene operons Tet_EutMN and araB_eutLK