Difference between revisions of "Team:William and Mary/Description"

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<center>  <div style = 'padding-right: 70px; padding-left: 70px;' >Description </div> </center>
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<center><div style = 'padding-right: 0px; padding-bottom: 20px;font-size: 25px' >General Support</div> </center>
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A fundamental goal of synthetic biology is to create a modular genetic basis for control over circuit behavior properties. While much progress has been made in achieving this objective for properties such as gene expression strength, where well-characterized ribosome binding sites (RBSs) can be conveniently swapped within a genetic part, there is much to be desired in altering gene expression speed. Currently, no such robust mechanism of speed control exists. We intend to provide a means to tune the speed of gene expression in transcriptional circuits, where a pre-characterized genetic part can be inserted into a gene to alter its expression in a predictable way.
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Based on multiple well-cited claims in literature, a strong relationship can be asserted between gene expression speed and the rate of protein degradation. Using a basic mathematical model of gene expression, one can derive that the speed of gene expression, defined as the time it takes for its protein product to reach half of its steady-state concentration, is a function of the protein’s degradation rate. This reveals that tuning protein degradation rate is essential to controlling gene expression, thus amenable to an approach involving protein degradation tags. Degradation tags are used endogenously to identify misfolded proteins, and different tags have unique protease-binding affinities which confer various degradation rates on the tagged proteins.
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In 2008, the Sauer lab at MIT reported that Mycoplasma florum’s Lon protease system was orthogonal to the endogenous protein degradation machinery in E. coli. As of now, mf-Lon degradation tags exist only as isolated sequences on the BioBrick Registry. We intend to build a suite of BioBrick parts in the form of [mf-Lon tag] - [Stop Codon] - [Double Terminator] that can be swapped in to directly modulate protein degradation rate just as RBS and promoter sequences can be swapped to modify protein production. This would drastically increase the accessibility of mf-Lon tags and enable other teams to easily amplify their desired protein sequence by simply cloning it into our construct. Should the relationship between gene expression speed and protein degradation rate exist robustly, we will be providing the first modular genetic basis of speed control, fulfilling a core aspiration of synthetic biology to have every gene expression and circuit property accessible at the genetic level.</p>
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<div style = 'padding-right: 190px; padding-left: 190px; text-indent: 50px;line-height: 30px;' >We would like to extend our sincerest thanks to our team advisor and PI, Dr. Margaret Saha. Her endless dedication and enthusiasm towards our research and well-being could not be more greatly appreciated.
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We would like to thank Dr. Gregory Smith, Co-PI, for his mathematical modeling expertise and his general advisement of our math team. We also want to thank Dr. Eric Bradley for his tireless assistance with lab facilities and management. </div>
  
  
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<center><div style = 'padding-right: 0px; padding-bottom: 20px;font-size: 25px' >Modeling Support</div></center>
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<div style = 'padding-right: 190px; padding-left: 190px;line-height: 30px; text-indent: 50px;' >John Marken, Graduate Research Student, provided us with mathematical modeling advice and invaluable assistance with data analysis. His guidance during brainstorming was also pivotal in determining our project idea.</div> </div>
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<div style = 'padding-right: 190px; padding-left: 190px;line-height: 30px; text-indent: 50px;' >We would like to thank Dr. Hannes Schniepp, Dr. Oliver Kerscher, and Dr. Joshua Puzey for partcipating in our Bioengineering Speaker Series.</div>
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<center><div style = 'padding-right: px; padding-bottom: 20px;font-size: 25px' >Funding Support </div></center>
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<div style = 'padding-right: 190px; padding-left: 190px;line-height: 30px; text-indent: 50px;'>First and foremost, we would like to thank Dr. Dennis Manos, Vice Provost of Research. He provided us with vital financial and intellectual support, and made the time-lapse microscopy aspect of our project possible. We would also like to thank the following organizations and offices for generously providing us with the financial support necessary for realizing our project: </div>
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<center><div style = 'padding-right: 70px; padding-left: 70px;font-size: 20px' >Dean Kate Conley, Dean of the Faculty, Arts and Sciences, Howard Hughes Medical Institute Science Education Grant to the College of William and Mary, GenScript, Epoch Life Science Inc.</div></center>
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Revision as of 18:33, 28 October 2017


Description
General Support
We would like to extend our sincerest thanks to our team advisor and PI, Dr. Margaret Saha. Her endless dedication and enthusiasm towards our research and well-being could not be more greatly appreciated. We would like to thank Dr. Gregory Smith, Co-PI, for his mathematical modeling expertise and his general advisement of our math team. We also want to thank Dr. Eric Bradley for his tireless assistance with lab facilities and management.
Modeling Support
John Marken, Graduate Research Student, provided us with mathematical modeling advice and invaluable assistance with data analysis. His guidance during brainstorming was also pivotal in determining our project idea.
Human Practices Support
We would like to thank Dr. Hannes Schniepp, Dr. Oliver Kerscher, and Dr. Joshua Puzey for partcipating in our Bioengineering Speaker Series.
Funding Support
First and foremost, we would like to thank Dr. Dennis Manos, Vice Provost of Research. He provided us with vital financial and intellectual support, and made the time-lapse microscopy aspect of our project possible. We would also like to thank the following organizations and offices for generously providing us with the financial support necessary for realizing our project:
Dean Kate Conley, Dean of the Faculty, Arts and Sciences, Howard Hughes Medical Institute Science Education Grant to the College of William and Mary, GenScript, Epoch Life Science Inc.