Difference between revisions of "Team:UIUC Illinois/Description"

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{{UIUC_Illinois}}
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  <h2>Project</h2>
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  <p>Description</p>
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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://2016.igem.org/Judging/Medals"> improve a previous part or project gold medal criterion</a>. </p>
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<p> Delete this box in order to be evaluated for this medal. See more information at <a href="https://2016.igem.org/Judging/Pages_for_Awards/Instructions"> Instructions for Pages for awards</a>.</p>
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<h2><font color="#69D2E7"><i class="icon-pencil-square-o"></i></font> Description</h2>
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<h3><i class="icon-clock-o"></i> Just in Time.</h3>
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<b><h4><font color="F38630"> A library of growth phase dependent promoters. </font></h4></b> </blockquote>
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<p>Most promoters in the iGEM registry can be separated into two categories. There are constitutive, or “always on,” promoters of various strengths. There are also inducible promoters, which activate transcription based on environmental factors such as light, pH, or the presence of certain molecules. UIUC_Illinois is characterizing a promoter library that gives more control over gene expression, without the need for inducers. We are isolating a set of e. coli promoters that turn on and off according to the host’s growth phase. For example, one promoter may become active during exponential growth but shut off as growth slows. Another promoter may exhibit little to no activity until stationary phase has been reached. These promoters will be useful tools for any teams wishing to time protein production in vivo, for applications such as metabolic engineering, probiotics, or more.</p>
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                                                <p>Our promoters were originally sourced from large-scale microarray data which tracked transcription of numerous genes in e. coli over time<sup>1</sup>. By looking for patterns in expression, we were able to sort genes into categories based on when they were most active in the growth cycle. We then designed primers to isolate the promoter and RBS sequence upstream of each gene. Inserting these promoter+RBS combinations upstream of a destabilized GFP gene will allow for  verification and characterization of their activity.</p>
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<h3>References</h3>
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<p>1. Sangurdekar DP, Srienc F, Khodursky AB. A classification based framework for quantitative description of large-scale microarray data. Genome Biol2006;7(4):R32</p>
  
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<p>Tell us about your project, describe what moves you and why this is something important for your team.</p>
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<h5>What should this page contain?</h5>
 
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<li> A clear and concise description of your project.</li>
 
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          <li><a href="https://2016.igem.org/Team:UIUC_Illinois/Description">Description</a></li>
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          <li><a href="https://2016.igem.org/Team:UIUC_Illinois/Demonstrate">Demonstrate</a></li>
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          <li><a href="https://2016.igem.org/Team:UIUC_Illinois/Measurement">Awards</a></li>
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<h5>Advice on writing your Project Description</h5>
 
  
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We encourage you to put up a lot of information and content on your wiki, but we also encourage you to include summaries as much as possible. If you think of the sections in your project description as the sections in a publication, you should try to be consist, accurate and unambiguous in your achievements.
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Judges like to read your wiki and know exactly what you have achieved. This is how you should think about these sections; from the point of view of the judge evaluating you at the end of the year.
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<p>See how other teams have described and presented their projects: </p>
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<li><a href="https://2014.igem.org/Team:Imperial/Project"> Imperial</a></li>
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<li><a href="https://2014.igem.org/Team:UC_Davis/Project_Overview"> UC Davis</a></li>
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Latest revision as of 02:23, 20 October 2016

UIUC_Illinois iGEM 2016

Description





Just in Time.

A library of growth phase dependent promoters.

Most promoters in the iGEM registry can be separated into two categories. There are constitutive, or “always on,” promoters of various strengths. There are also inducible promoters, which activate transcription based on environmental factors such as light, pH, or the presence of certain molecules. UIUC_Illinois is characterizing a promoter library that gives more control over gene expression, without the need for inducers. We are isolating a set of e. coli promoters that turn on and off according to the host’s growth phase. For example, one promoter may become active during exponential growth but shut off as growth slows. Another promoter may exhibit little to no activity until stationary phase has been reached. These promoters will be useful tools for any teams wishing to time protein production in vivo, for applications such as metabolic engineering, probiotics, or more.

Our promoters were originally sourced from large-scale microarray data which tracked transcription of numerous genes in e. coli over time1. By looking for patterns in expression, we were able to sort genes into categories based on when they were most active in the growth cycle. We then designed primers to isolate the promoter and RBS sequence upstream of each gene. Inserting these promoter+RBS combinations upstream of a destabilized GFP gene will allow for  verification and characterization of their activity.

References

1. Sangurdekar DP, Srienc F, Khodursky AB. A classification based framework for quantitative description of large-scale microarray data. Genome Biol2006;7(4):R32





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