Difference between revisions of "Team:Peking"

 
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                                 <a href="https://2015.igem.org/Team:Peking/JudgingCriteria">Achievements</a>
 
                                 <a href="https://2015.igem.org/Team:Peking/JudgingCriteria">Achievements</a>
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                                 <a href="https://2015.igem.org/Team:Peking/Team">Lab</a>
 
                                 <ul>
 
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                                     <li><a href="https://2015.igem.org/Team:Peking/Team">Team</a>
 
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                                     <li><a href="https://2015.igem.org/Team:Peking/Notebook">Notebook</a>
 
                                     <li><a href="https://2015.igem.org/Team:Peking/Notebook">Notebook</a>
 
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                                     <li><a class="active" href="https://2015.igem.org/Team:Peking/Attributions">Attributions</a>
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                                     <li><a href="https://2015.igem.org/Team:Peking/Attributions">Attributions</a>
 
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                                     <li><a href="https://2015.igem.org/Team:Peking/Safety">Safety</a>
 
                                     <li><a href="https://2015.igem.org/Team:Peking/Safety">Safety</a>
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         <img src="https://static.igem.org/mediawiki/2015/1/1e/Peking-Home-Slider-Background-2.jpg">
 
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       <h3 align="center" style="font-size:24px"> Project <span class="accent-color">Description</span></h3>
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       <h3 align="center" style="font-size:24px;color:#00afd1;"> Project Description</h3>
 
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       <div id="project-description" class="title-desc" style="max-width:75%; margin:auto;">
 
       <div id="project-description" class="title-desc" style="max-width:75%; margin:auto;">
         <p>Tuberculosis, 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). It caused more than 1.3 million deaths annually, and most of the deaths occur in developing countries that are lack of effective identification of those in need of therapy, with an enormous amount of delayed or failed diagnosis.<br></p>
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         <p>Tuberculosis, 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). It causes more than 1.3 million deaths annually, and most of the deaths occur in developing countries that are lack of effective identification of those in need of therapy, with an enormous amount of delayed or failed diagnosis.<br></p>
 
         <p><br/>Case detection is currently the rate-limiting step in disease control. The available Nucleic Acid Detection (NAD) Method is sensitive and fast, but does not reach the requirement of specificity and reliability.<br>  
 
         <p><br/>Case detection is currently the rate-limiting step in disease control. The available Nucleic Acid Detection (NAD) Method is sensitive and fast, but does not reach the requirement of specificity and reliability.<br>  
 
       <p><br/>To obviate such problems, Peking iGEM team is developing a novel PC Reporters system that can transform biomarkers of the disease into optical signal. Combined with array design and statistical analysis, the presence of <i>Mycobacterium tuberculosis</i> can be easily verified. It can also be easily used in developing areas with designed hardware development. We believe this new advanced system can turn  out as a powerful tool in disease diagnosis, with high specificity and reliability.  
 
       <p><br/>To obviate such problems, Peking iGEM team is developing a novel PC Reporters system that can transform biomarkers of the disease into optical signal. Combined with array design and statistical analysis, the presence of <i>Mycobacterium tuberculosis</i> can be easily verified. It can also be easily used in developing areas with designed hardware development. We believe this new advanced system can turn  out as a powerful tool in disease diagnosis, with high specificity and reliability.  
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             <h3 style="font-size:24px"><span class="accent-color">POSTER</span> 97 - Zoon 4 - Hall C<br/>
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            <h3 style="font-size:24px"><span class="accent-color">Awards</span></br>
<span class="accent-color">PRESENTATION</span> Saturday - Room 302 - 11:30 AM
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                          Best New Composite Part<br/>
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              Best Part Collection
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             <h3 style="font-size:24px"><span class="accent-color">Poster</span></br>
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            97 - Zone 4 - Hall C</br>
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            <span class="accent-color">Presentation</span></br>
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            9/26/2015 - Room 302 - 11:30 AM
 
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             <p class="title-desc" style="margin-top:25px">Thanks for your attention!</p>
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             <p class="title-desc" style="margin-top:30px; font-size:22px;font-weight:bold" >Thanks for your attention!</p>
 
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                 <p align="center" style="margin-top:10px"><b>Specificity</b></p>
 
                 <p align="center" style="margin-top:10px"><b>Specificity</b></p>
                 <p>To improve the specificity of current NAD, a novel visualization system named Paired dCas9 (PC) Reporter has been designed and characterized. Its specificity has been tested on real MTB genome.</p>
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                 <p style="padding-left:5px;padding-right:5px">A nucleic-acid-based, sequence-specific detection system named "paired dCas9" (PC) reporter was built. Its specificity and sensitivity proved to be enough to detect real MTB genome.</p>
 
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                 <p align="center" style="margin-top:10px"><b>Reliability</b></p>
 
                 <p align="center" style="margin-top:10px"><b>Reliability</b></p>
                 <p>To meet the challenge in clinical diagnosis, multi-marker array and statistical analysis have been applied to PC Reporters, which improve the reliability of signle trial, and verify the presence of MTB in sample.</i>.</p>
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                 <p style="padding-left:5px;padding-right:5px">An array of MTB-specific markers was designed to use information from the entire genome of MTB to improve the reliability of diagnosis. By statistics, we are able to present the readouts in a quantitative way.</i></p>
 
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                 <p align="center" style="margin-top:10px"><b>Portability</b></p>
 
                 <p align="center" style="margin-top:10px"><b>Portability</b></p>
                 <p>To better</p
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                 <p style="padding-left:5px;padding-right:5px">Noticing that most TB cases occur in developing areas, we built an electronic device that was portable, affordable, and easy to use.</p>
 
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                 <p align="center" style="margin-top:10px"><b>Bench to Bedside</b></p>
 
                 <p align="center" style="margin-top:10px"><b>Bench to Bedside</b></p>
                 <p>Come from bedside to bench, and <span style="color:#00afd1">back to bedside</span> again.</p>
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                 <p style="padding-left:5px;padding-right:5px">Coming from bedside to bench, we set out to apply our bench achievements back to bedside. With consultation, survey and feedback from clinical practice, we are still working on improving our detection system!</p>
 
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Latest revision as of 12:42, 17 November 2015

Project Description

Tuberculosis, 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). It causes more than 1.3 million deaths annually, and most of the deaths occur in developing countries that are lack of effective identification of those in need of therapy, with an enormous amount of delayed or failed diagnosis.


Case detection is currently the rate-limiting step in disease control. The available Nucleic Acid Detection (NAD) Method is sensitive and fast, but does not reach the requirement of specificity and reliability.


To obviate such problems, Peking iGEM team is developing a novel PC Reporters system that can transform biomarkers of the disease into optical signal. Combined with array design and statistical analysis, the presence of Mycobacterium tuberculosis can be easily verified. It can also be easily used in developing areas with designed hardware development. We believe this new advanced system can turn out as a powerful tool in disease diagnosis, with high specificity and reliability.

Awards
Best New Composite Part
Best Part Collection

Poster
97 - Zone 4 - Hall C
Presentation
9/26/2015 - Room 302 - 11:30 AM

Thanks for your attention!

Specificity

A nucleic-acid-based, sequence-specific detection system named "paired dCas9" (PC) reporter was built. Its specificity and sensitivity proved to be enough to detect real MTB genome.

Reliability

An array of MTB-specific markers was designed to use information from the entire genome of MTB to improve the reliability of diagnosis. By statistics, we are able to present the readouts in a quantitative way.

Portability

Noticing that most TB cases occur in developing areas, we built an electronic device that was portable, affordable, and easy to use.

Bench to Bedside

Coming from bedside to bench, we set out to apply our bench achievements back to bedside. With consultation, survey and feedback from clinical practice, we are still working on improving our detection system!