Difference between revisions of "Team:Munich"

 
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        <div class='text'>Lab</div>
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            <a class="item">Lab journal</a>
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            <a class="item">Experiments</a>
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            <a class="item">Results</a>
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            <a class="item">Safety</a>
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        <div class="text">Team</div>
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            <a class="item" href="https://2017.igem.org/Team:Munich/Team">The Team</a>
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{{Munich/Menu}}
            <a class="disabled item">Attributions</a>
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            <a class="disabled item">Collaborations</a>
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            <a class="item">Awards</a>
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            <a class="item">Special prizes</a>
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            <a class="item">Medals</a>
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<font size=7 ><b style="color: #51a7f9">Abstract</b></font>
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<p style="text-align:justify">
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The ongoing crisis of increasing antibiotic resistance demands innovative preventive strategies. Recently, the RNA-targeting protein CRISPR-Cas13a has been used for highly sensitive DNA and RNA detection, promising diverse applications in point-of-care diagnostics. We integrated Cas13a in the detection unit of CascAID, our GMO-free diagnostic platform. CascAID combines an automated microfluidic device for rapid lysis and extraction of nucleic acids with a paper-based readout system. We demonstrated the performance of our device by targeting the 16S rRNA from <i>E. coli</i>. We improved the detection limit of our platform, using simulations to optimize our amplification scheme and the final readout.
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Conceived as a distributable platform for rapid point-of-care diagnostics, CascAID can be used to distinguish between bacterial and viral infections, thus minimizing the widespread use of antibiotics.
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Furthermore, Cas13a allows the fast design of target sequences, making our system adaptive to the emergence of new viral outbreaks or fast mutating pathogens.
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<font size=10 ><b style="color: #51a7f9; font-size: 60px; margin-top: 20px">Awards & Achievements</b></font>
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<div class="captionPicture">
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<h1>First Runner-up</h1>
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</div>
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</td>
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<td align=center valign=center colspan=3>
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<div class="captionPicture">
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<h1>Best Diagnostics Project</h1>
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</div>
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</td>
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</tr>
  
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<td align=center valign=center colspan=3>
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<div class="captionPicture">
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<h2>Best Model</h2>
 
</div>
 
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<td align=center valign=center colspan=3>
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<div class="captionPicture">
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<h2>Best Applied Design</h2>
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</tr>
  
<div class="ui bottom fixed icon menu">
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  <a class="item" href="https://www.facebook.com/Munich.iGEM/">
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<h2>Best Hardware</h2>
  <a class="item" href="https://www.instagram.com/igem.munich.2017/">
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  <a class="item" href="mailto:igem.munich@gmail.com">
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<h2>Best Software</h2>
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</td>
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<td align=center valign=center colspan=2>
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<h3>Nominated for Best Wiki</h3>
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</td>
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<td align=center valign=center colspan=2>
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<h3>Nominated for Best Presentation</h3>
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</td>
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<td align=center valign=center colspan=2>
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<h3>Nominated for Best Poster</h3>
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</td>
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        <div class="column">
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            <h1>Problem</h1>
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<td align=center valign=center colspan=2>
            <div class='hidden horizontal divider'></div>
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<h3>Nominated for Best Integrated Human Practices</h3>
            <p>Although there are many diagnostic tests available that can detect even the smallest traces of a pathogen, they usually require expensive lab-equipment or skilled labor. Usually, places most prone to diseases are also the ones most lacking such equipment or personal, and thus, where tests are least asequible. Many different diseases can present similar symptoms. But because the treatment for each of them can vary greatly (e.g. bacterial vs viral infetion), a quick and reliable diagnostic is important to start as soon as possible with the right treatment. On the other hand, wrongly recognizing the cause of a disease not only leads to prescription of the wrong medicine, but also can contribute to the spread of resistances.</p>
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<h3>Nominated for Best Education & Public Engagement</h3>
            New diagnostic tool must take these points into consideration and be designed with affordability, availability, simplicity and reliability in mind, and, where possible, be flexible enough to cover a wide array of diseases in order to present the user with a single, powerful product.
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<h3>Nominated for Best Measurement</h3>
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            <h1>Solution</h1>
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            <div class='hidden horizontal divider'></div>
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            <p>We are working at a diagnostic tool that combines the power of high sensible methods with the affordability needed for a wide application field. Our project, named CascAID, utilizes a CRISPR/Cas effector protein to quickly and reliably test for different pathogens based on their RNA. By cleverly designing a short RNA sequence, it is possible to guide this protein to cleave RNA molecules. If the sample contained pathogen, then digested RNA will be found, where as a negative sample won't produce digestion fragments.</p>
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            In additon, we are trying to make CascAID an affordable but single use product thus reducing the risk of cross-contamination without increasing the production cost.
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<h3 style="margin-bottom: 50px">Nominated for Best Composite Part</h3>
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</td>
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<h3 style="margin-bottom: 50px">Nominated for Best Part Collection</h3>
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</td>
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<td align=center valign=center colspan=1></td>
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</tr>
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<tr><td colspan=6 align=middle valign=center>
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<font size=10 ><b style="color: #51a7f9; font-size: 60px; margin-top: 20px">Gallery</b></font>
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<h3> <a style="color: #51a7f9 !important" href="/Team:Munich/Gallery">See the rest of our gallery...</a></h3>
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{{Munich/Footer}}

Latest revision as of 20:49, 15 December 2017


Abstract

The ongoing crisis of increasing antibiotic resistance demands innovative preventive strategies. Recently, the RNA-targeting protein CRISPR-Cas13a has been used for highly sensitive DNA and RNA detection, promising diverse applications in point-of-care diagnostics. We integrated Cas13a in the detection unit of CascAID, our GMO-free diagnostic platform. CascAID combines an automated microfluidic device for rapid lysis and extraction of nucleic acids with a paper-based readout system. We demonstrated the performance of our device by targeting the 16S rRNA from E. coli. We improved the detection limit of our platform, using simulations to optimize our amplification scheme and the final readout.

Conceived as a distributable platform for rapid point-of-care diagnostics, CascAID can be used to distinguish between bacterial and viral infections, thus minimizing the widespread use of antibiotics. Furthermore, Cas13a allows the fast design of target sequences, making our system adaptive to the emergence of new viral outbreaks or fast mutating pathogens.

Awards & Achievements

First Runner-up

Best Diagnostics Project

Best Model

Best Applied Design

Best Hardware

Best Software

Nominated for Best Wiki

Nominated for Best Presentation

Nominated for Best Poster

Nominated for Best Integrated Human Practices

Nominated for Best Education & Public Engagement

Nominated for Best Measurement

Nominated for Best Composite Part

Nominated for Best Part Collection

Gallery

See the rest of our gallery...