Difference between revisions of "Team:Peking"

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{{Peking}}
 
{{Peking}}
 
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<h2> Welcome to iGEM 2015! </h2>
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<h2><center>Welcome to Peking iGEM 2015!</center></h2>
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<p>Your team has been approved and you are ready to start the iGEM season! </p>
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<!--<p>Your team has been approved and you are ready to start the iGEM season! </p>
  
 
<h4>Before you start: </h4>
 
<h4>Before you start: </h4>
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<li> <a href="https://2015.igem.org/Wiki_How-To">Wiki Requirements page</a></li>
 
<li> <a href="https://2015.igem.org/Wiki_How-To">Wiki Requirements page</a></li>
 
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<div class="highlightBox">
 
<div class="highlightBox">
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<h4> Styling your wiki </h4>
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<h4> <center>Project Description</center> </h4>
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<p>You may style this page as you like or you can simply leave the style as it is. You can easily keep the styling and edit the content of these default wiki pages with your project information and completely fulfill the requirement to document your project.</p>
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<p>While you may not win Best Wiki with this styling, your team is still eligible for all other awards. This default wiki meets the requirements, it improves navigability and ease of use for visitors, and you should not feel it is necessary to style beyond what has been provided.</p>  
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<p>Tuberculosis (TB), caused by <i>Mycobacterium tuberculosis</i>, remains one of the world’s most serious public health problems. Although tuberculosis is curable and the treatment success rate is high, it is still the second most common cause of death from infectious disease (after HIV). Most of the deaths occur in developing countries that are lack of effective identification of those in need of therapy. In 2014 there were 5 million active cases, 1.5 million new cases in China. About 80% cases occurred in rural area, with an enormous amount of delayed or failed diagnosis.</p>
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<p>Case detection is currently the rate-limiting step in TB control. A diagnostic tool with high sensitivities and specificities is desired urgently, and it is supposed to be used at the point-of-care (POC) within a clinic or in the community. </p>
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<p>To obviate such problems, Peking iGEM team is developing a novel <i>Mycobacterium tuberculosis</i> detection system that can transform biomarkers of TB into optical signal or electric signal. Combined with our work in software and hardware development, we believe this new advanced system can be turned out as a powerful tool in TB diagnosis, with high sensitivities and specificities.</p>
 
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<h4> Editing your wiki </h4>
 
<h4> Editing your wiki </h4>
 
<p>On this page you can document your project, introduce your team members, document your progress and share your iGEM experience with the rest of the world! </p>  
 
<p>On this page you can document your project, introduce your team members, document your progress and share your iGEM experience with the rest of the world! </p>  
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<a href="https://2015.igem.org/Special:Upload">CLICK HERE TO UPLOAD FILES</a>
 
<a href="https://2015.igem.org/Special:Upload">CLICK HERE TO UPLOAD FILES</a>
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Revision as of 13:30, 12 July 2015



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Welcome to Peking iGEM 2015!

Project Description


Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains one of the world’s most serious public health problems. Although tuberculosis is curable and the treatment success rate is high, it is still the second most common cause of death from infectious disease (after HIV). Most of the deaths occur in developing countries that are lack of effective identification of those in need of therapy. In 2014 there were 5 million active cases, 1.5 million new cases in China. About 80% cases occurred in rural area, with an enormous amount of delayed or failed diagnosis.


Case detection is currently the rate-limiting step in TB control. A diagnostic tool with high sensitivities and specificities is desired urgently, and it is supposed to be used at the point-of-care (POC) within a clinic or in the community.


To obviate such problems, Peking iGEM team is developing a novel Mycobacterium tuberculosis detection system that can transform biomarkers of TB into optical signal or electric signal. Combined with our work in software and hardware development, we believe this new advanced system can be turned out as a powerful tool in TB diagnosis, with high sensitivities and specificities.