Team:St Andrews

From 2010.igem.org

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(This page has been constantly changing throughout the project; check back after the iGEM Wiki freeze on 27 October 2010 for the final version)
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<td> Comprised of 8 undergradute <a href="https://2010.igem.org/Team:St Andrews/team/members">students</a> and guided by 5 <a href="https://2010.igem.org/Team:St Andrews/advisors">advisors</a>, our team stems from a variety of different scientific fields: Medicine, Biological Sciences, Chemistry, Computer Science and Physics.</td>
<td> Comprised of 8 undergradute <a href="https://2010.igem.org/Team:St Andrews/team/members">students</a> and guided by 5 <a href="https://2010.igem.org/Team:St Andrews/advisors">advisors</a>, our team stems from a variety of different scientific fields: Medicine, Biological Sciences, Chemistry, Computer Science and Physics.</td>
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<td>Cholera is a disease that affects 5 million people worldwide each year. It can kill within hours if left untreated. Our project involves investigating the basic science behind a potential means of preventing cholera's devestating consequences <a href="https://2010.igem.org/Team:St Andrews/project/objectives"> About Our Project </a></td>
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<td>Cholera is a disease that affects 5 million people worldwide each year. It can kill within hours if left untreated. Our project involves investigating the basic science behind a potential means of preventing cholera's devestating consequences. Read more <a href="https://2010.igem.org/Team:St Andrews/project/objectives"> about our project</a>.</td>
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To better understand the inner workings of the Cholera quorum sensing system we produced a series of computational models to simulate the operation of v.Cholerae. Based upon differential equations and solved computationally via the  Fourth Order Runge-Kutta method our models provide a comprehensive view of V.Cholerae quorum sensing and bi-stable switching behaviour. To find out how we designed our models from the blackboard to the CPU check out our <a href="https://2010.igem.org/Team:St Andrews/project/modelling"> Modelling </a>.
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To better understand the inner workings of the Cholera quorum sensing system we produced a series of computational models to simulate the operation of v.Cholerae. Based upon differential equations and solved computationally via the  Fourth Order Runge-Kutta method our models provide a comprehensive view of V.Cholerae quorum sensing and bi-stable switching behaviour. To find out how we designed our models from the blackboard to the CPU check out our <a href="https://2010.igem.org/Team:St Andrews/project/modelling">modelling </a>.
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Part of our project is to help other iGEM teams (both previous and next teams) by giving the direction to have a fine control over protein expression
Part of our project is to help other iGEM teams (both previous and next teams) by giving the direction to have a fine control over protein expression
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<a href="https://2010.igem.org/Team:St Andrews/project/RBS"> Ribosome binding site </a>.
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<a href="https://2010.igem.org/Team:St Andrews/project/RBS">ribosome binding site </a>.

Revision as of 16:51, 25 October 2010


St Andrews from East Sands

University of St Andrews iGEM 2010

Welcome!

The Saints

University of St Andrews iGEM 2010

Our first year at iGEM!

University of St Andrews 2010 iGEM Team

Welcome to the the University of St Andrews iGEM 2010 Team Website. We are the first University of St Andrews iGEM Team. This page has been constantly changing throughout the project; check back after the iGEM Wiki freeze on 27 October 2010 for the final version.

Comprised of 8 undergradute students and guided by 5 advisors, our team stems from a variety of different scientific fields: Medicine, Biological Sciences, Chemistry, Computer Science and Physics. Cholera is a disease that affects 5 million people worldwide each year. It can kill within hours if left untreated. Our project involves investigating the basic science behind a potential means of preventing cholera's devestating consequences. Read more about our project. Meet our sponsors whose generosity has made this all possible.
To better understand the inner workings of the Cholera quorum sensing system we produced a series of computational models to simulate the operation of v.Cholerae. Based upon differential equations and solved computationally via the Fourth Order Runge-Kutta method our models provide a comprehensive view of V.Cholerae quorum sensing and bi-stable switching behaviour. To find out how we designed our models from the blackboard to the CPU check out our modelling .

Part of our project is to help other iGEM teams (both previous and next teams) by giving the direction to have a fine control over protein expression ribosome binding site .


In order to complete our project several biobricks need to be constructed. Through use of standard protocols and procedures we plan to construct a bistable switch based on the Lux quorum sensing system and a CAI-1 sender using the cqsa gene from Vibrio cholerae. Follow our progress in the laboratory.
"Human Practices" shapes the future and the very being of all science. Human Practices includes (but is not limited to) the purpose, effects and impact of science on society. A realm where ethics, economics and E.coli all intertwine.