Team:Virginia

From 2012.igem.org

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<li class="tab2"><a href="/Team:Virginia/Project">Project</a></li>
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<li class="tab4"><a href="/Team:Virginia/Parts">Parts</a></li>
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        <li class="tab8"><a href="/Team:Virginia/Team">Team</a></li>
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<li class="tab9"><a href="/Team:Virginia/Practices">Practices</a></li>
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&nbsp;&nbsp;<img src="https://static.igem.org/mediawiki/2012/b/b8/Igemlogo.fw.png" border="0"/>&nbsp;&nbsp;</a></li>
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<li class="tab3"><a href="/Team:Virginia/Modeling">Modeling</a></li>
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<li class="tab6"><a href="http://openwetware.org/wiki/IGEM:Virginia_2012">Notebook</a></li>
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<li class="tab7"><a href="/Team:Virginia/Safety">Safety</a></li>
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<li class="tab7"><a href="/Team:Virginia/Attributions">Attributions</a></li>
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<th align="center"><strong class="selflink">Home</strong>
 
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</th><th align="center"><a href="/Team:Virginia/Team" title="Team:Virginia/Team">Team</a>
 
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</th><th align="center"><a href="https://igem.org/Team.cgi?year=2012&amp;team_name=Virginia" class="external text" rel="nofollow">Official Team Profile</a>
 
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</th><th align="center"><a href="/Team:Virginia/Project" title="Team:Virginia/Project">Project</a>
 
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</th><th align="center"><a href="/Team:Virginia/Parts" title="Team:Virginia/Parts">Parts Submitted to the Registry</a>
 
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</th><th align="center"><a href="/Team:Virginia/Modeling" title="Team:Virginia/Modeling">Modeling</a>
 
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</th><th align="center"><a href="/Team:Virginia/Notebook" title="Team:Virginia/Notebook">Notebook</a>
 
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</th><th align="center"><a href="/Team:Virginia/Safety" title="Team:Virginia/Safety">Safety</a>
 
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</th><th align="center"><a href="/Team:Virginia/Attributions" title="Team:Virginia/Attributions">Attributions</a>
 
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<img src="https://static.igem.org/mediawiki/igem.org/2/2e/LogoHCG3.png" alt="Logo VGEM" align="absmiddle" class="centering"/></a>
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Hello, you've reached the wiki of the 2012 iGEM team from the University of Virginia.
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<h1><center>Genetically engineered bacteriophage for diagnosis of whooping cough</h1></center><br/>
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Our project idea has finally crystallized! This summer we plan to engineer a bacteriophage to improve a clinical method for the detection of Bordetella pertussis, the pathogenic bacterium that causes whooping cough. Whooping cough outbreaks arise periodically every three to five years (in the 2010 epidemic in California, there were 9,143 reported cases of pertussis, including ten infant deaths). It is difficult to diagnose whooping cough because other respiratory infections cause similar symptoms, and common diagnostic methods can yield false positive results. Our test would be fast, reliable, easy-to-perform, and sufficiently low-tech such that it could be implemented in place of the current test and in developing regions that lack advanced medical infrastructure.
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Whooping cough, the infectious respiratory disease caused by <i>Bordetella pertussis</i>, is diagnosed in tens of millions of people and results in almost 300,000 deaths globally each year. Low-income and unvaccinated individuals as well as infants are especially susceptible. Current diagnostic procedures are complicated, costly, and can take up to a week, by which time the disease may have progressed or spread. The enormous impact of this disease urgently motivates the development of a faster, cheaper, and more reliable diagnostic test. Our epidemiology models suggest that earlier diagnosis could drastically reduce the incidence and impact of the disease. We propose an engineered bacteriophage diagnostic system for rapid clinical detection of <i>pertussis</i>. We first engineered T7 bacteriophage to demonstrate this approach in <i>E. coli</i>. Our modular diagnostic approach can be applied to the high-sensitivity detection of other bacteria.
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Bacteriophages are viruses that infect only bacteria, and each phage is extremely specific to a particular bacterial species. Their specificity is an excellent property to use in a diagnostic test. When bacteriophages lyse bacteria in a cell culture, the absence of bacteria becomes visible as a clear area called a plaque. If a clinical sample is obtained from an individual suspected to have whooping cough, and plaques form after the addition of Bordetella bacteriophage to the sample, then this is a positive test result for the presence of Bordetella pertussis.
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This summer we plan to genetically engineer Bordetella bacteriophage to replicate faster so that the results of the diagnostic test will be available within one day. We will increase the speed of the viral life cycle by economizing the phage genome and substituting genetic parts for existing parts in the phage. We will also insert a gene that induces a color change in the sample if the bacterium is present, further speeding up detection. We foresee the use of the engineered phage in clinical tests as a faster alternative to current detection methods. Faster detection of Bordetella pertussis will enable earlier treatment for patients with whooping cough and decrease the incidence of mortality.
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Please email us if you would like to collaborate or discuss an aspect related to this project. You can can leave a message at igemvirginia at gmail dot com or you can comment below.  
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|[[Image:Virginia_team.png|right|frame|Your team picture]]
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|align="center"|[[Team:Virginia | Team Virginia]]
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Latest revision as of 02:23, 27 October 2012



Logo VGEM

Genetically engineered bacteriophage for diagnosis of whooping cough


Whooping cough, the infectious respiratory disease caused by Bordetella pertussis, is diagnosed in tens of millions of people and results in almost 300,000 deaths globally each year. Low-income and unvaccinated individuals as well as infants are especially susceptible. Current diagnostic procedures are complicated, costly, and can take up to a week, by which time the disease may have progressed or spread. The enormous impact of this disease urgently motivates the development of a faster, cheaper, and more reliable diagnostic test. Our epidemiology models suggest that earlier diagnosis could drastically reduce the incidence and impact of the disease. We propose an engineered bacteriophage diagnostic system for rapid clinical detection of pertussis. We first engineered T7 bacteriophage to demonstrate this approach in E. coli. Our modular diagnostic approach can be applied to the high-sensitivity detection of other bacteria.






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