Team:Calgary

From 2013.igem.org

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<h2>Our Sensor</h2>
<h2>Our Sensor</h2>
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<img src="https://static.igem.org/mediawiki/2013/4/44/Calgary2013_Our_Sensor.png">
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<p>Check out what we did in the lab to detect <i>E. coli</i> contamination. Learn about the design of our detector, linker, reporter as well as the development of a prototype and mathematical model.</p>
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<p>Check out what we did in the lab this summer to detect <i>E. coli</i> contamination! Learn about the design of our detector, linker, and reporter as well as our prototype and modelling.</p>
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<h2>Human Practices</h2>
<h2>Human Practices</h2>
<img src="https://static.igem.org/mediawiki/2013/5/54/Calgary2013_Human_Practices.png">
<img src="https://static.igem.org/mediawiki/2013/5/54/Calgary2013_Human_Practices.png">
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<p>Check out how Human Practices helped to guide the development of our sensor. Learn how we spent time talking to various experts in the beef industry in order to design our project with our end-user in mind.</p>
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<p>Check out how Human Practices helped guide the development of our project. Learn how we spent time talking to various experts in the industry to design our project with our end-user in mind.</p>
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Revision as of 16:53, 10 October 2013

Our Project

Outbreaks of foodborne illnesses are a growing problem in our lives. In 2011, the Centers for Disease Control and Prevention (CDC) in the United States identified 767 outbreaks of foodborne illnesses affecting nearly 14,000 people. Pathogenic E. coli was one of the most common causes of these outbreaks. In Alberta, we experienced a foodborne disease outbreak in late 2012. This outbreak was the result of pathogenic E. coli serotype O157:H7, and led to the largest meat recall in Canadian history. Outbreaks like these cause death, hospitalizations, massive economic losses and an overall loss of consumer confidence in food safety. Due to the time it takes to culture E. coli and amplify target gene sequences, current testing methods take a long time to complete and can only identify contamination many hours after the meat has been processed.

One of the factors that amplifies the risk of E. coli outbreaks is the lack of a rapid, on-site detection method. In response, our team is using synthetic biology to develop a system to rapidly detect the presence of pathogenic E. coli in the beef industry. By using engineered biological nanoparticles and DNA binding proteins, we can specifically detect pathogenic DNA sequences. Our biosensor functions at the genomic level to detect the presence of pathogenic E. coli in a sample. This system allows us to quickly identify contamination during meat processing and also provides the ability to pre-screen cattle to limit potential sources of contamination before cattle enter the processing plant. Our system not only provides a powerful new tool for food safety, but also has the potential to act as a platform for the rapid detection of target organisms. These tests could hugely impact a myriad of industry applications ranging from the everyday, large-scale use in food safety testing and medical screening, to the specialized use in the detection and monitoring of biological weapons and hazards.