Difference between revisions of "Team:Munich/Testing"

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<h1>Best Diagnostics Project</h1>
 
<h1>Best Diagnostics Project</h1>
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<img width=200 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
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<img width=440 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
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<h1>First Runner-up</h1>
 
<h1>First Runner-up</h1>
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<img width=200 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
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<img width=440 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
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<h2>Best Model</h2>
 
<h2>Best Model</h2>
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<img width=200 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
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<img width=300 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
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<h2>Best Applied Design</h2>
 
<h2>Best Applied Design</h2>
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<img width=200 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
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<img width=300 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
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<h2>Best Hardware</h2>
 
<h2>Best Hardware</h2>
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<img width=200 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
+
<img width=300 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
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<h2>Best Software</h2>
 
<h2>Best Software</h2>
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<img width=200 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
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<img width=300 src="https://static.igem.org/mediawiki/2017/5/53/T--Munich--Results_Hardwaretime151.png">
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
<p>Detection of a sequence from <i>E. coli</i> 16S rRNA from Cas13a on paper in our self-built detector</p>
 
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</div>

Revision as of 19:53, 10 December 2017

Description

Design

Demonstrate

Measurement

Applied Design

Final Results

Achievements

Protocols

Notebook

Safety

Parts

Improved Part

Part Collection

InterLab

Model

Software

Collaboration

Detector

Quake Valve

Paperstrips

Sample Processing

Silver

Gold

Engagement

Collaborations

Team members

Sponsors

Attributions

Gallery

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

Best Diagnostics Project

Detection of a sequence from E. coli 16S rRNA from Cas13a on paper in our self-built detector

First Runner-up

Detection of a sequence from E. coli 16S rRNA from Cas13a on paper in our self-built detector

Best Model

Detection of a sequence from E. coli 16S rRNA from Cas13a on paper in our self-built detector

Best Applied Design

Detection of a sequence from E. coli 16S rRNA from Cas13a on paper in our self-built detector

Best Hardware

Detection of a sequence from E. coli 16S rRNA from Cas13a on paper in our self-built detector

Best Software

Detection of a sequence from E. coli 16S rRNA from Cas13a on paper in our self-built detector

Nominated for Best Wiki

Nominated for Best Presentation

Nominated for Best Poster

Nominated for Best Integrated Human Practices

Nominated for Best Best Education & Public Engagement

Nominated for Best Measurement

Nominated for Best Composite Part

Nominated for Best Part Collection