Difference between revisions of "Team:Munich/Demonstrate"

Line 153: Line 153:
 
   <ul class="listResults">
 
   <ul class="listResults">
 
           <li>We characterized Cas13a and its detection limit with native and <a class="myLink" href="https://2017.igem.org/Team:Munich/DetectionOnChip#lyophi">lyophilized</a> protein, with  
 
           <li>We characterized Cas13a and its detection limit with native and <a class="myLink" href="https://2017.igem.org/Team:Munich/DetectionOnChip#lyophi">lyophilized</a> protein, with  
<a class="myLink" href="https://2017.igem.org/Team:Munich/Cas13a#Figure_1">in vitro</a> and <a class="myLink" href="https://2017.igem.org/Team:Munich/Cas13a#vivo">in vivo</a> sources of RNA, in bulk and <a class="myLink" href="https://2017.igem.org/Team:Munich/DetectionOnChip#onpaper2">on paper</a>. </li>
+
<a class="myLink" href="https://2017.igem.org/Team:Munich/Cas13a#Figure_1"><i style="color:#51a7f9:"in vitro</a> and <a class="myLink" href="https://2017.igem.org/Team:Munich/Cas13a#vivo">in vivo</a> sources of RNA, in bulk and <a class="myLink" href="https://2017.igem.org/Team:Munich/DetectionOnChip#onpaper2">on paper</a>. </li>
 
           <li>We designed <a class="myLink" href="https://2017.igem.org/Team:Munich/Readouts#fluorescent">fluorescent</a> and  <a class="myLink" href="https://2017.igem.org/Team:Munich/Readouts#color">colorimetric</a> readouts, and used a <a class="myLink" href="https://2017.igem.org/Team:Munich/Readouts#aptam">synthetic aptamer</a> as a detection tool.  
 
           <li>We designed <a class="myLink" href="https://2017.igem.org/Team:Munich/Readouts#fluorescent">fluorescent</a> and  <a class="myLink" href="https://2017.igem.org/Team:Munich/Readouts#color">colorimetric</a> readouts, and used a <a class="myLink" href="https://2017.igem.org/Team:Munich/Readouts#aptam">synthetic aptamer</a> as a detection tool.  
 
</li>
 
</li>

Revision as of 02:13, 2 November 2017


Demonstrate

With our modular approach, we prototype all units of our diagnostic device, and integrate them into a customizable platform. We use cell-free synthetic biology to distinguish between pathogens with our universal detection cascade.

Sensitive and Rapid

Robust and Universal

Portable and low-cost

Sample processing

We chose to combine heat lysis and isothermal amplification (RPA) to extract our target RNA from patient samples.

We validated the three necessary modules of the sample processing (cell lysis, DNA amplification and transcription) with a rapid and sensitive method, RPA.

Readout circuit

We chose Cas13a for pathogen identification because of its specificity for nucleic acid sequence detection.

We proved the robustness and universality of our Cas13a-based fluorescence readout circuit.

Detector

We chose a disposable paper strip combined with a reusable fluorescence detector to analyse our samples.

We created a detection chip that is portable, functional and affordable, for the distribution of our diagnosis device, CascAID.