Difference between revisions of "Team:Munich/Description"

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<font size=7 color=#51a7f9><b style="color: #51a7f9;">Attributions</b></font>
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<font size=7 color=#51a7f9><b style="color: #51a7f9;">Description</b></font>
 
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Thanks to advances in molecular biology and biochemistry, scientist have been able to consistently detect lower and lower concentration of molecules, to the point that, to date, single molecules can be reliably recognised with methods such as polymerase chain reaction (PCR) or fluorescence in situ hybridization (FISH). This has opened doors for better and more accurate diagnostic tests that biomarkers like nucleic acids and proteins as targets. Through such advances, the field of molecular diagnostics developed. Unfortunately, current standard methods require expensive equipment or trained personnel, which generally limits their usability to hospitals or laboratories. Only in recent times has there been a push to develop new tests that fuse the reliability of standard methods with affordable platforms such as gene chips or paper strips. We wanted to help close this gap and set out to engineer a diagnosis principle for the detection of a wide array of targets that could be used without difficult technical requirements.
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Thanks to advances in molecular biology and biochemistry, scientists have been able to consistently detect lower and lower concentration of molecules<sup>1</sup>, to the point that single molecules can be reliably recognized with methods such as polymerase chain reaction (PCR)2, fluorescence in situ hybridization (FISH)3 and enzyme-linked immunosorbent assays (ELISA)4. This has opened doors for synthetic biology to create better and more accurate diagnostic tests that use biomarkers like nucleic acids and proteins as targets5,6. Through such advances, the field of molecular diagnostics developed. Unfortunately, current standard methods require expensive equipment or trained personnel, which generally limits their usability to hospitals or laboratories. Recently, there has been a push to develop new tests that fuse the reliability of standard methods with affordable platforms such as lab-on-a-chip or paper strips to overcome this restrictions7-9. We wanted to help close this gap and set out to engineer a diagnosis principle for the detection of a wide array of targets that could be used without difficult-to-meet technical requirements..               
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<h3>Organization</h3>
 
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Our project, which we dubbed Cas13a controlled assay for infectious diseases (CascAID) features the recently identified CRISPR/Cas effector Cas13a. Unlike other proteins in the familiy, Cas13a has the unique ability to bind and cleave specific RNA targets rather than DNA ones. Moreover after cleaving its target, Cas13a presents collateral activity i.e. it can unspecifically cleave RNA molecules. By using Cas13a, our system can detect virtually detect any RNA target. This is done by changing the crRNA in the protein, that is a short RNA sequence that determines what is recognized as target.  
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As our team was composed of people with different lab-experience, there were some members who instructed the others in the use of lab equipment and methods. Our master students, <a class="myLink" href="/Team:Munich/Team#Max">Max</a>, <a class="myLink" href="/Team:Munich/Team#Ludwig">Ludwig</a> and <a class="myLink" href="/Team:Munich/Team#Sven">Sven</a> teached the other team members and coordinated work distribution. Our supervisors <a class="myLink" href="/Team:Munich/Lukas">Lukas</a> and <a class="myLink" href="/Team:Munich/Team#Aurore">Aurore</a> took over responsibility, supported the team in each point of this project and invested a lot of time in and outside the lab.  
 
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To couple CascAID with an easy read-out method we explored three colorimetric read-outs:
 
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<li>AeBlue: The RNA strand in an specially designed RNA/DNA dimer is cut by Cas13a's collateral activity. After digestion, the interaction between the two strands is too weak to hold the dimer and it decays. We can then use the DNA-strand as template to transcribe the chromoprotein aeBlue. </li>
 
 
        <li>Intein-Extein: </li>
 
  
<li>Gold nanoparticles:</li>
 
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Revision as of 13:18, 13 October 2017


Description

Thanks to advances in molecular biology and biochemistry, scientists have been able to consistently detect lower and lower concentration of molecules1, to the point that single molecules can be reliably recognized with methods such as polymerase chain reaction (PCR)2, fluorescence in situ hybridization (FISH)3 and enzyme-linked immunosorbent assays (ELISA)4. This has opened doors for synthetic biology to create better and more accurate diagnostic tests that use biomarkers like nucleic acids and proteins as targets5,6. Through such advances, the field of molecular diagnostics developed. Unfortunately, current standard methods require expensive equipment or trained personnel, which generally limits their usability to hospitals or laboratories. Recently, there has been a push to develop new tests that fuse the reliability of standard methods with affordable platforms such as lab-on-a-chip or paper strips to overcome this restrictions7-9. We wanted to help close this gap and set out to engineer a diagnosis principle for the detection of a wide array of targets that could be used without difficult-to-meet technical requirements..

Organization

As our team was composed of people with different lab-experience, there were some members who instructed the others in the use of lab equipment and methods. Our master students, Max, Ludwig and Sven teached the other team members and coordinated work distribution. Our supervisors Lukas and Aurore took over responsibility, supported the team in each point of this project and invested a lot of time in and outside the lab.