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− | <h3 class="heading h3 text-white">What is CAPOEIRA ?</ | + | <h3 class="heading h3 text-white">What is CAPOEIRA ?</h2> |
<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 | <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 | ||
“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. | “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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− | <h3 class="heading h3">This is CAPOEIRA</ | + | <h3 class="heading h3">This is CAPOEIRA</h2> |
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− | <img src="https://static.igem.org/mediawiki/2018/0/01/T--EPFL--bioinfo.svg" class="img-center img-fluid" width=" | + | <img src="https://static.igem.org/mediawiki/2018/0/01/T--EPFL--bioinfo.svg" class="img-center img-fluid" width="300px"> |
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<div class="col-lg-7 ml-lg-auto"> | <div class="col-lg-7 ml-lg-auto"> | ||
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− | < | + | <h2><font size="+2">Bioinformatics</font></h2> |
<p class="lead text-gray my-4"> | <p class="lead text-gray my-4"> | ||
<font size="+2">First, a bioinformatic pipeline integrating state-of-the-art tools identifies our target: melonoma neoantigens, the fingerprints of cancer cells</font> | <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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− | <img src="https://static.igem.org/mediawiki/2018/b/b2/T--EPFL--vaccine-logo.svg" class="img-center img-fluid" width=" | + | <img src="https://static.igem.org/mediawiki/2018/b/b2/T--EPFL--vaccine-logo.svg" class="img-center img-fluid" width="300px"> |
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− | < | + | <h2>Vaccine</h2> |
− | <p class="lead text-gray my-4">Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments presenting the various neoantigen epitopes</p> | + | <p class="lead text-gray my-4"> |
+ | <font size="+2">Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments presenting the various neoantigen epitopes</font> | ||
+ | </p> | ||
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− | <img src="https://static.igem.org/mediawiki/2018/6/6f/T--EPFL--DC-logo.svg" class="img-center img-fluid" width=" | + | <img src="https://static.igem.org/mediawiki/2018/6/6f/T--EPFL--DC-logo.svg" class="img-center img-fluid" width="300px"> |
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<div class="col-lg-7 ml-lg-auto"> | <div class="col-lg-7 ml-lg-auto"> | ||
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− | < | + | <h2><font size="+2">Dendritic cell Activation</font></h2> |
<p class="lead text-gray my-4"> | <p class="lead text-gray my-4"> | ||
− | <font size="+2"> | + | <font size="+2">This encapsulin vaccine activates dendritic cells which trigger T-cell's attack on the neoantigen bearing cancer cells</font> |
+ | </p> | ||
+ | </div> | ||
+ | </div> | ||
+ | </div> | ||
+ | |||
+ | <div class="row row-grid align-items-center"> | ||
+ | <div class="col-lg-5 order-lg-2 ml-lg-auto"> | ||
+ | <img src="https://static.igem.org/mediawiki/2018/3/3d/T--EPFL--follow_up_logo.svg" class="img-center img-fluid" width="300px"> | ||
+ | </div> | ||
+ | <div class="col-lg-7 order-lg-1"> | ||
+ | <div class="pr-lg-7"> | ||
+ | <h2><font size="+2">Follow-up</font></h2> | ||
+ | <p class="lead text-gray my-4"> | ||
+ | <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> | ||
</p> | </p> | ||
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Revision as of 17:28, 17 October 2018
CAPOEIRA
Cancer Personalized Encapsulin Immunotherapy and Relapse Assay
Learn more about our projectWhat 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 T-cells’ 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 T-cell's 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