Difference between revisions of "Team:NTU-Singapore/Measurement"

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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://2018.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2018.igem.org/Judging/Awards"> award listed below</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://2018.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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<strong>Best Measurement</strong><br>
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<span class="fa fa-chevron-right" style="margin-top: 0px; margin-bottom: 25px;"></span>&nbsp;Difficulty in Measuring Gene Expression
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<h1>Measurement</h1>
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In part characterization, one important measurement is the level of expression of a protein as it directly affects the activities of the constructs we interpret. It is always a fine balance between disrupting the normal cell vitality and having sufficient expression to produce clear and resolved signals. The conventional approach to measure gene expression is through quantitative PCR, where cDNA of the mRNA transcripts are amplified to indicate expression level. However, due to the fundamental fluctuations of expression level and cell activities across different cells, seeking a house-keeping gene is often necessary to provide a common basis of measurement.
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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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<span class="fa fa-chevron-right"style="margin-top: 0px; margin-bottom: 25px;"></span>&nbsp;Diversifying Measurement
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Hence, to explore the different ways and explore different method, we diversified our approaches to measuring specifically gene editing events. From the traditional sequencing analysis to luciferase luminescence reporter and to attempt to use bacteria survival. We believe our methods of measurement can be integrated into one complete toolkit for measuring gene editing activities.
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<h3>Best Innovation in Measurement Special Prize</h3>
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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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To compete for the <a href="https://2018.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://2018.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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<h3>Inspiration</h3>
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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 18:32, 17 October 2018

Template:Nav

Best Measurement

 Difficulty in Measuring Gene Expression

In part characterization, one important measurement is the level of expression of a protein as it directly affects the activities of the constructs we interpret. It is always a fine balance between disrupting the normal cell vitality and having sufficient expression to produce clear and resolved signals. The conventional approach to measure gene expression is through quantitative PCR, where cDNA of the mRNA transcripts are amplified to indicate expression level. However, due to the fundamental fluctuations of expression level and cell activities across different cells, seeking a house-keeping gene is often necessary to provide a common basis of measurement.

 Diversifying Measurement

Hence, to explore the different ways and explore different method, we diversified our approaches to measuring specifically gene editing events. From the traditional sequencing analysis to luciferase luminescence reporter and to attempt to use bacteria survival. We believe our methods of measurement can be integrated into one complete toolkit for measuring gene editing activities.