Team:AHUT China

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      BIO-COMPASS<hr />
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        The aim of our project is to build a brand new bio-navigational system that can be used by the ordinary people. The map information will be coded in DNA strand and do corresponding biochemical operations. The bio-navigational database will establish the relationship between biochemical operation instructions and traditional navigation instructions. In order to reduce workload in advance， BIO-COMPASS can also screen reaction conditions according to the road conditions. Furthermore, we try to update the system to adapt to the more complex path plans. For this, we design some special enzyme sites which differ from standard bio-bricks' as the function interfaces. For example, "Logic Gate" genetic device can be inserted in our system to help us solve the path plan which include a transfer station between the start and the destination. BIO-COMPASS will find the best solution by using a variety of detection methods such as electrophoresis and reporter gene.
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<li id="Link0" class="SlideLink">Background</li><li id="Link1" class="SlideLink">Problem</li><li id="Link2" class="SlideLink">Tools</li><li id="Link3" class="SlideLink">Inspiration</li><li id="Link4" class="SlideLink">Solution</li><li id="Link5" class="SlideLink">Impact</li>
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<p>Diabetes mellitus is prevalent throughout the world especially in the United States and Mexico. Current methods of treatments have largely remained the same. Patients prick their fingers to draw blood in order for a device to report their blood glucose levels. After the device gives them that information, they administer the appropriate amount of insulin to themselves. There has yet to be a unified system for the sensing of blood glucose levels and insulin administration. As a solution, we propose the following:</p>
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<p style="color:#56A0D3;">The UNC Chapel Hill team has devised a protein controlled system in which E coli detects high glucose levels in its environment, and in response release one of two proteins, insulin or glucagon-like peptide-1 <br><font color="black">(Find out more at our <a href="https://2014.igem.org/Team:UNC-Chapel_Hill/Project#background">project page</a>)</font> </p>
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<p>In the National Diabetes Statistics Report of 2014 released by the National Center for Chronic Disease Prevention and Health Promotion it was reported that 29.1 million Americans (9.3% of the US population) have diabetes mellitus. The cost both direct and indirect of diabetes treatment is estimated to be 245 billion dollars, and the disease remains the 7th leading cause of premature death in the United States. With the prevalence of diabetes mellitus in the US population the 2014 UNC Chapel Hill iGEM team as part of a University that prides itself in serving "North Carolina, the United States, and the world through teaching, research, and public service" felt an obligation to address this problem</p>
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Latest revision as of 03:20, 17 October 2014

BIO-COMPASS

The aim of our project is to build a brand new bio-navigational system that can be used by the ordinary people. The map information will be coded in DNA strand and do corresponding biochemical operations. The bio-navigational database will establish the relationship between biochemical operation instructions and traditional navigation instructions. In order to reduce workload in advance， BIO-COMPASS can also screen reaction conditions according to the road conditions. Furthermore, we try to update the system to adapt to the more complex path plans. For this, we design some special enzyme sites which differ from standard bio-bricks' as the function interfaces. For example, "Logic Gate" genetic device can be inserted in our system to help us solve the path plan which include a transfer station between the start and the destination. BIO-COMPASS will find the best solution by using a variety of detection methods such as electrophoresis and reporter gene.

Retrieved from "http://2014.igem.org/Team:AHUT_China"