Difference between revisions of "Team:EPFL"

 
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              <h2 class="h1 text-white mb-3">CAPOEIRA</h2>
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              <p class="lead text-white lh-180">CAncer PersOnalized Encapsulin Immunotherapy and Relapse Assay</p>
  
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                                      <span class="btn-inner--text">Learn more about our project</span>
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              <h3 class="heading h3 text-white text-center"><font size="+2">What is CAPOEIRA ?</font></h2>
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               <p class="lead text-white my-4">While Melanoma remains the deadliest form of skin cancer, immunotherapy approaches can harness our immune system to defeat it! Yet, current immuno-treatments suffer from high costs, limited accessibility, and poor specificity. Our project
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                 “CAPOEIRA”, named after the Brazilian self-defense martial-art, exploits the potential of synthetic biology to develop a personalized, cost-effective, and rapid production scheme for cancer vaccine and point-of-care relapse surveillance.
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                First, a bioinformatic pipeline integrating state-of-the-art tools identifies our targets: melanoma neoantigens, the fingerprints of cancer cells. Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments
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               <a class="nav-link" href="#">Home
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                presenting the various neoantigen epitopes. This encapsulin vaccine activates dendritic cells which trigger a T-cell attack on the neoantigen-bearing cancer cells. Nevertheless, we don’t underestimate a defeated villain! To detect potential
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                 <span class="sr-only">(current)</span>
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                relapse, we combine techniques including dumbbell probes, rolling circle amplification, isothermal amplification, and CRISPR-Cas12a to detect circulating tumor miRNA and DNA. Ultimately, CAPOEIRA trains the immune system to fight back!
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        <h1 class="display-3">A Warm Welcome!</h1>
 
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          <h3 class="heading h3"><font size="+5">This is CAPOEIRA</font></h2>
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              <h2 class="text-center"><font size="+2">Bioinformatics</font></h2>
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                <font size="+2">First, a bioinformatic pipeline integrating state-of-the-art tools identifies our target: melonoma neoantigens, the fingerprints of cancer cells</font>
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              <h2 class="text-center"><font size="+2">Vaccine</font></h2>
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                <font size="+2">Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments presenting the various neoantigen epitopes</font>
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               <h2 class="text-center"><font size="+2">Dendritic cell Activation</font></h2>
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                <font size="+2">This encapsulin vaccine activates dendritic cells which trigger a T-cell attack on the neoantigen bearing cancer cells</font>
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                <font size="+2">Nevertheless, we don't underestimate a defeated villain! To detect potential relapse we use techniques like CRISPR-Cas12a to detect circulationg tumor miRNA and DNA</font>
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                          <h2 class="heading h1 text-white"> </br> </br> </br> Won: <span>Gold Medal</span></br> Nominated for: <span>Best Therapeutic Project</span> and <span>Best Software</br></ul></ui></h2>
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                              <a href="https://2018.igem.org/Team:EPFL/Awards" class="btn btn-white btn-primary btn-circle px-5">Our Awards!</a>
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Latest revision as of 00:21, 8 December 2018

iGEM EPFL 2018

CAPOEIRA

CAncer PersOnalized Encapsulin Immunotherapy and Relapse Assay

Learn more about our project

What is CAPOEIRA ?

While Melanoma remains the deadliest form of skin cancer, immunotherapy approaches can harness our immune system to defeat it! Yet, current immuno-treatments suffer from high costs, limited accessibility, and poor specificity. Our project “CAPOEIRA”, named after the Brazilian self-defense martial-art, exploits the potential of synthetic biology to develop a personalized, cost-effective, and rapid production scheme for cancer vaccine and point-of-care relapse surveillance. First, a bioinformatic pipeline integrating state-of-the-art tools identifies our targets: melanoma neoantigens, the fingerprints of cancer cells. Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments presenting the various neoantigen epitopes. This encapsulin vaccine activates dendritic cells which trigger a T-cell attack on the neoantigen-bearing cancer cells. Nevertheless, we don’t underestimate a defeated villain! To detect potential relapse, we combine techniques including dumbbell probes, rolling circle amplification, isothermal amplification, and CRISPR-Cas12a to detect circulating tumor miRNA and DNA. Ultimately, CAPOEIRA trains the immune system to fight back!


This is CAPOEIRA

Bioinformatics

First, a bioinformatic pipeline integrating state-of-the-art tools identifies our target: melonoma neoantigens, the fingerprints of cancer cells


Vaccine

Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments presenting the various neoantigen epitopes

Dendritic cell Activation

This encapsulin vaccine activates dendritic cells which trigger a T-cell attack on the neoantigen bearing cancer cells

Follow-up

Nevertheless, we don't underestimate a defeated villain! To detect potential relapse we use techniques like CRISPR-Cas12a to detect circulationg tumor miRNA and DNA




Won: Gold Medal
Nominated for: Best Therapeutic Project and Best Software

Our Awards!