Team:Virginia

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You are provided with this team page template with which to start the iGEM season.  You may choose to personalize it to fit your team but keep the same "look." Or you may choose to take your team wiki to a different level and design your own wiki.  You can find some examples <a href="https://2009.igem.org/Help:Template/Examples">HERE</a>.
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{|align="justify"
 
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|You can write a background of your team here.  Give us a background of your team, the members, etc.  Or tell us more about something of your choosing.
 
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|[[Image:Virginia_logo.png|200px|right|frame]]
 
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''Tell us more about your project.  Give us background.  Use this as the abstract of your project.  Be descriptive but concise (1-2 paragraphs)''
 
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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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!align="center"|[[Team:Virginia|Home]]
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!align="center"|[[Team:Virginia/Team|Team]]
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!align="center"|[https://igem.org/Team.cgi?year=2012&team_name=Virginia Official Team Profile]
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!align="center"|[[Team:Virginia/Project|Project]]
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!align="center"|[[Team:Virginia/Parts|Parts Submitted to the Registry]]
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!align="center"|[[Team:Virginia/Modeling|Modeling]]
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!align="center"|[[Team:Virginia/Notebook|Notebook]]
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!align="center"|[[Team:Virginia/Safety|Safety]]
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!align="center"|[[Team:Virginia/Attributions|Attributions]]
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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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<li class="tab5"><a href="/Team:Virginia">
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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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<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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<br /><br />
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<h1><center>Genetically engineered bacteriophage for diagnosis of whooping cough</h1></center><br/>
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<p>
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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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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.