Difference between revisions of "Team:CCA SanDiego"

 
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        <a class="navbar-brand page-scroll" href="#page-top">CCA San Diego iGEM</a>
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            <li><a href="https://2015.igem.org/Team:CCA_SanDiego/Project">Project</a></li>
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            <li><a href="https://2015.igem.org/Team:CCA_SanDiego/Team">Team</a></li>
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            <li><a href="https://2015.igem.org/Team:CCA_SanDiego/Notebook">Notebook</a></li>
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            <li><a href="https://2015.igem.org/Team:CCA_SanDiego/Attributions">Attributions</a></li>
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            <li><a href="https://2015.igem.org/Team:CCA_SanDiego/HumanPractice">Human Practice</a></li>
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        <h1 class="brand-heading">CCA San Diego 2015</h1>
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        <p>Say something about CCA San Diego</p>
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                <h1 class="brand-heading">CCA San Diego 2015</h1>
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                <p>This is CCA San Diego's first year participating in iGEM. All of our team members attend Canyon Crest Academy (CCA) in San Diego, California. CCA, founded in 2004, is a public high school with about 2,250 students.</p>
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        About the Project
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                About the Project
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        <h2 class="brand-heading">About our project</h1>
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                <h2 class="brand-heading">About our project</h1>
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      Biosensors are at the forefront of exciting developments in bioengineering and biomedical research due to their applicability in the diagnosis and treatment of debilitating diseases such as diabetes, cancer, and ALS. They allow us to take advantage of pre-existing mechanisms in nature to detect chemicals in the body that can serve as diagnostic markers for disease.  Using high performance computing we modelled the behavior of a glucose sensing biosensor at a high resolution at the atomic level. The biosensor we modelled has the ability to fluoresce in the presence of glucose, and therefore serves as an effective monitor of blood sugar levels - a critical biomarker used for diabetes treatment. This has monumental applications in the treatment of diabetes. Such a biosensor could be potentially coupled to an insulin producing circuit to automatically deliver needed medicine to diabetics without the use of invasive needles and injections.  Our modelling approach can be applied to simulate related biosensors, testing many iterations of possible biosensor designs without the need to perform an wet-lab experiment that would produce hazardous waste.  Our team has produced an in silico optimization and debugging biosensor template which allows for a majority of testing to be performed prior to entering a wet-lab facility.  By reducing the amount of time spent in the wet-lab, our modelling approach provides a safer, more eco-friendly testing environment. It’s as simple as saving on pipette tips - we don’t have to throw away hundreds of plastic pipet tips for one experiment.  Biosensors are a rapidly developing treatment and diagnosis tool in biomedical research, and our team has been able to utilize high-performance computer modelling to efficiently test these revolutionary devices.
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              Biosensors are at the forefront of biomedical and bioengineering research because of their applicability to a wide range of diseases. Using computer modeling we simulated the behavior of a glucose sensing biosensor, which fluoresces in the presence of glucose. This serves as an effective monitor of blood glucose levels, a critical biomarker for diabetes. Our biosensor could be coupled with an insulin producing circuit to treat diabetes without invasive needles and injections.  
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            <h3>Biosensors</h3>
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            <h3>Modelling</h3>
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                    <h5>Introduction</h5>
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                    <a href="https://2015.igem.org/Team:CCA_SanDiego/Project#introduction">
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                    <img class="img-thumbnail" src="https://upload.wikimedia.org/wikipedia/commons/1/13/Caffeine3D.gif">
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                    </a>
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                    <p>Check out our project</p>
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                    <h5>Methods</h5>
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                    <a href="https://2015.igem.org/Team:CCA_SanDiego/Project#methods">
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                    <img class="img-thumbnail" src="https://upload.wikimedia.org/wikipedia/commons/1/13/Caffeine3D.gif"/>
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                    <p>See how we did our project</p>
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                    <h5>Results</h5>
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                  <a href="https://2015.igem.org/Team:CCA_SanDiego/Project#results"> 
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                  <img class="img-thumbnail" src="https://upload.wikimedia.org/wikipedia/commons/1/13/Caffeine3D.gif"/>
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                  </a>   
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                    <p>Look at what we did over the summer</p>
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             <h3>Results</h3>
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             <a href="#navigation" class="button page-scroll" style="background-color:#EEE">Explore Our Wiki</a>
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        <a href="#navigation" class="button page-scroll" style="background-color:#EEE">Explore Our Wiki</a>
 
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            <a class="button button-primary" href="https://2015.igem.org/Team:CCA_SanDiego/Team">Team</a>
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                <p>Meet Our Team Members</p>
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                <p>How We Spent Our Time</p>
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            <p>A sentence about people who helped</p>
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            <a class="button button-primary" href="https://2015.igem.org/Team:CCA_SanDiego/Attributions">Thanks!</a>
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                <p>The People Who Helped</p>
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                <a class="button button-primary" href="https://2015.igem.org/Team:CCA_SanDiego/Attributions">Thanks!</a>
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            <a class="button button-primary" href="https://2015.igem.org/Team:CCA_SanDiego/HumanPractice">Human Practice</a>
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                <p>Our Outreach and Safety</p>
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                <a class="button button-primary" href="https://2015.igem.org/Team:CCA_SanDiego/HumanPractice">Human Practices</a>
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Latest revision as of 18:36, 18 September 2015

CCA San Diego iGEM 2015

CCA San Diego 2015

This is CCA San Diego's first year participating in iGEM. All of our team members attend Canyon Crest Academy (CCA) in San Diego, California. CCA, founded in 2004, is a public high school with about 2,250 students.

About the Project

About our project

Biosensors are at the forefront of biomedical and bioengineering research because of their applicability to a wide range of diseases. Using computer modeling we simulated the behavior of a glucose sensing biosensor, which fluoresces in the presence of glucose. This serves as an effective monitor of blood glucose levels, a critical biomarker for diabetes. Our biosensor could be coupled with an insulin producing circuit to treat diabetes without invasive needles and injections.

Introduction

Check out our project

Methods

See how we did our project

Results

Look at what we did over the summer

Explore Our Wiki