Difference between revisions of "Team:BioIQS-Barcelona"

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<h1> We are BioIQS iGEM team! </h1>
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<h3> Project description:</h3>
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<p>We would like to present you a brief description of our project on celiac disease:</p>
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<img src="https://static.igem.org/mediawiki/2018/f/ff/T--BioIQS-Barcelona--TeamLabPicture.jpg">
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<p>Our project is based on the design of a personalized gluten sensor by using the common tools of synthetic biology. There are already several sensors that are able to detect gluten in the food. However, there are milestones that still have not been overcome. We propose a robust model in which the HLA molecule of a patient is expressed and used as a sensor to detect specific reactive gluten epitopes. </p>
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<p>Coeliac disease (CD) is an autoimmune disorder that is closely related with HLA (Human leukocyte antigen), a type of receptor that are located in the surface of almost every cell of a human tissue, including white blood cells. These molecules are responsible for the correct discrimination between what is self and foreign proteins, guaranteeing the correct immune response against foreign agents that can cause infections. </p>
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<p>Within the HLA protein family there are the highly polymorphic HLA-DQ, which means that there are a lot of existing genetic variants of these molecules. Some of these HLA-DQ variants are able to recognize different gluten epitopes (aminoacid sequence of a protein) and present them to the T cells. More specifically, 25% of the general population carry the HLA-DQ that can recognize gluten derived epitopes, but only 1% of the population suffer from coeliac disease. The reason of such fact is that the inflammatory reaction is triggered by some T cells that can sense the gluten epitope presented by the HLA-DQ.</p>
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<p>Understanding why the inflammatory response is triggered by a certain type of T cells upon epitope presentation by HLA-DQ molecules is essential to uncover the mechanism of CD. Since the first step for the immune response activation is the recognition and binding of the gluten epitope to the HLA-DQ receptor, the development of a personalized sensor to determine reactive epitopes could help to better understand the disease and would also allow the screening of those foods that could potentially trigger an immune response to the patient.</p>
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<p>In our iGEM Project we will design a personalized gluten sensor through a synthetic biology approach. To do so, we decided to build a model based on the HLA expression of the patient which will be coupled to a sensor, allowing the detection of reactive epitopes. The main specificities of our sensor are described as follows:</p>
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<li>Since our sensor will be built according to the patient HLA, it will allow the detection of specific reactive epitopes independently of the food source.</li>
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<li>Additionally, our sensor will be able to detect reactive epitopes even in fermented foods.</li>
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<li>The methodology implemented in our sensor could be used for the identification of new reactive epitopes and unknown allelic variants.</li>
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<li>Our design requires only a DNA sample of the patient. Therefore, the methodology and application of our sensor could be extended for the detection of other HLA related disorders as well as the generation of new research lines for the diagnosis, detection and basic knowledge of these type of disorders.</li>
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Revision as of 16:02, 26 June 2018

We are BioIQS iGEM team!

Project description:

We would like to present you a brief description of our project on celiac disease:

Our project is based on the design of a personalized gluten sensor by using the common tools of synthetic biology. There are already several sensors that are able to detect gluten in the food. However, there are milestones that still have not been overcome. We propose a robust model in which the HLA molecule of a patient is expressed and used as a sensor to detect specific reactive gluten epitopes.

Coeliac disease (CD) is an autoimmune disorder that is closely related with HLA (Human leukocyte antigen), a type of receptor that are located in the surface of almost every cell of a human tissue, including white blood cells. These molecules are responsible for the correct discrimination between what is self and foreign proteins, guaranteeing the correct immune response against foreign agents that can cause infections.

Within the HLA protein family there are the highly polymorphic HLA-DQ, which means that there are a lot of existing genetic variants of these molecules. Some of these HLA-DQ variants are able to recognize different gluten epitopes (aminoacid sequence of a protein) and present them to the T cells. More specifically, 25% of the general population carry the HLA-DQ that can recognize gluten derived epitopes, but only 1% of the population suffer from coeliac disease. The reason of such fact is that the inflammatory reaction is triggered by some T cells that can sense the gluten epitope presented by the HLA-DQ.

Understanding why the inflammatory response is triggered by a certain type of T cells upon epitope presentation by HLA-DQ molecules is essential to uncover the mechanism of CD. Since the first step for the immune response activation is the recognition and binding of the gluten epitope to the HLA-DQ receptor, the development of a personalized sensor to determine reactive epitopes could help to better understand the disease and would also allow the screening of those foods that could potentially trigger an immune response to the patient.

In our iGEM Project we will design a personalized gluten sensor through a synthetic biology approach. To do so, we decided to build a model based on the HLA expression of the patient which will be coupled to a sensor, allowing the detection of reactive epitopes. The main specificities of our sensor are described as follows:

  • Since our sensor will be built according to the patient HLA, it will allow the detection of specific reactive epitopes independently of the food source.
  • Additionally, our sensor will be able to detect reactive epitopes even in fermented foods.
  • The methodology implemented in our sensor could be used for the identification of new reactive epitopes and unknown allelic variants.
  • Our design requires only a DNA sample of the patient. Therefore, the methodology and application of our sensor could be extended for the detection of other HLA related disorders as well as the generation of new research lines for the diagnosis, detection and basic knowledge of these type of disorders.

Welcome to iGEM 2018!

Your team has been approved and you are ready to start the iGEM season!

/**/

Before you start

Please read the following pages:

Styling your wiki

You may style this page as you like or you can simply leave the style as it is. You can easily keep the styling and edit the content of these default wiki pages with your project information and completely fulfill the requirement to document your project.

While you may not win Best Wiki with this styling, your team is still eligible for all other awards. This default wiki meets the requirements, it improves navigability and ease of use for visitors, and you should not feel it is necessary to style beyond what has been provided.

Uploading pictures and files

You must upload any pictures and files to the iGEM 2018 server. Remember to keep all your pictures and files within your team's namespace or at least include your team's name in the file name.

When you upload, set the "Destination Filename" to T--YourOfficialTeamName--NameOfFile.jpg. (If you don't do this, someone else might upload a different file with the same "Destination Filename", and your file would be erased!)

UPLOAD FILES

Wiki template information

We have created these wiki template pages to help you get started and to help you think about how your team will be evaluated. You can find a list of all the pages tied to awards here at the Pages for awards link. You must edit these pages to be evaluated for medals and awards, but ultimately the design, layout, style and all other elements of your team wiki is up to you!

Editing your wiki

On this page you can document your project, introduce your team members, document your progress and share your iGEM experience with the rest of the world!

Use WikiTools - Edit in the black menu bar to edit this page

EDIT PAGE

Tips

This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:

  • State your accomplishments! Tell people what you have achieved from the start.
  • Be clear about what you are doing and how you plan to do this.
  • You have a global audience! Consider the different backgrounds that your users come from.
  • Make sure information is easy to find; nothing should be more than 3 clicks away.
  • Avoid using very small fonts and low contrast colors; information should be easy to read.
  • Start documenting your project as early as possible; don’t leave anything to the last minute before the Wiki Freeze. For a complete list of deadlines visit the iGEM 2018 calendar
  • Have lots of fun!

Inspiration

You can also view other team wikis for inspiration! Here are some examples: