Difference between revisions of "Team:BioIQS-Barcelona"

 
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     <title>BIO IQS</title>
 
     <title>BIO IQS</title>
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                 <div class="col-lg-7 my-auto">
 
                 <div class="col-lg-7 my-auto">
 
                     <div class="header-content mx-auto">
 
                     <div class="header-content mx-auto">
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                         <h1 class="mb-5">We are the BioIQS bcn iGEM team!</h1>
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                         <h1 class="mb-5">We are the BioIQS iGEM team!</h1>
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                         <a href="https://2018.igem.org/Team:BioIQS-Barcelona#download" class="btn btn-outline btn-xl js-scroll-trigger">Meet us!</a>
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                         <a href="https://2018.igem.org/Team:BioIQS-Barcelona#project" class="btn btn-outline btn-xl js-scroll-trigger">Explore our project!</a>
 
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                 <div class="col-md-9 mx-auto">
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                     <h2 class="section-heading orange">Project description</h2>
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                     <h2 class="section-heading orange">Welcome to our page</h2>
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                     <h3 class="orange">We would like to present you a brief description of our project on celiac
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                     <h3 class="orange">A brief resume:</h3>
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                        disease:</h3>
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                         <p class="book orange">Our project is based on the design of a <b>personalized gluten sensor</b>
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                         <p class="book orange">Our project is based on the design of a <b>personalized gluten sensor</b> by using the common tools of <b>synthetic biology</b>. 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 <b>HLA-DQ</b> protein of a patient is expressed and used as a sensor to detect specific reactive gluten epitopes.</p>
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                            by using the common tools of synthetic biology. There are already several sensors that are
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                            able to detect gluten in the food. However, there are milestones that still have not been
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                            overcome. We propose a robust model in which the HLA molecule of a patient is expressed and
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                            used as a sensor to detect specific reactive gluten epitopes.</p>
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                     <a class="js-scroll-trigger a-arrow" href="https://2018.igem.org/Team:BioIQS-Barcelona#t-project"><span class="arrow down"></span></a>
 
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                         <div class="col-md-11 col-lg-7">
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                             <p class="text-b"><b>Coeliac disease (CD)</b> is an autoimmune disorder that is closely
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                             <p class="text-b"><b>Celiac disease (CD)</b> is an autoimmune disorder that is closely related with HLA (Human Leukocyte Antigen), a type of cell-surface proteins that are responsible for the regulation of the inmune systems in humans.</p>
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                                related with HLA (Human leukocyte antigen), a type of receptor that are located in the
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                                surface of almost every cell of a human tissue, including white blood cells.</p>
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                <div class="col-mx-auto relative microscopi">
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                        <p class="apart fletxa">These molecules are responsible for the correct discrimination between
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                    <p class="apart fletxa">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.
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                            what is self and foreign proteins, guaranteeing the correct immune response against foreign
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                    </p>
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                            agents that can cause infections.
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                     <p class="text-b fletxa-d">
 
                     <p class="text-b fletxa-d">
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                         Within the HLA protein family there are the highly polymorphic HLA-DQ, which means that
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                         Within the HLA protein family there is a subset called HLA-DQ. There are several DQ isoforms that can bind to different gluten-derived epitopes and present them to T-cells. More specifically, 25% of the general population carry the <a href="https://2018.igem.org/Team:BioIQS-Barcelona/Celiac_disease">HLA-DQ haplotype</a> that recognizes gluten-derived epitopes, but only 1% of the population suffer from celiac disease.
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                        <b>there are a lot of existing genetic variants of these molecules</b>. Some of these HLA-DQ
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                        variants are able to recognize different gluten epitopes (aminoacid sequence of a protein) and
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                        present them to the T cells. More specifically, 25% of the general population carry the HLA-DQ
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                        that can recognize gluten derived epitopes, but only 1% of the population suffer from coeliac
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                        disease.
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                     <p class="apart yellow">The reason of such fact is that the inflammatory reaction is triggered by
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                     <p class="apart yellow">As a consequence of T-cell activation, an inmune response is triggered, causing damage to the enterocytes present in the small intestine.</p>
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                        some T cells that can sense the gluten epitope presented by the HLA-DQ.</p>
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                     <!--                    <img src="images/hla-solo.png">-->
 
                     <!--                    <img src="images/hla-solo.png">-->
 
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                     <div class="row justify-content-center prov">
 
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                             <p class="text-b">Understanding why the inflammatory response is triggered by a certain
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                             <p class="text-b">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, we developed a sensor based on this principle.</p>
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                                type of T cells upon epitope presentation by HLA-DQ molecules is essential to uncover
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                                the mechanism of CD. Since the first step for the immune response activation is the
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                                recognition and binding of the gluten epitope to the HLA-DQ receptor. </p>
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                 <div class="col-md-8 end cnt block-desc-t">
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                     <p class="apart yellow">The development of a personalized sensor to determine reactive epitopes
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                     <p class="apart yellow">The development of a personalized sensor to detect 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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                        could help to better understand the disease and would also allow the screening of those foods
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                        that could potentially trigger an immune response to the patient.</p>
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                     <div class="col-md-auto orange">
 
                     <div class="col-md-auto orange">
 
                         <p class="book">In our iGEM Project we will design a
 
                         <p class="book">In our iGEM Project we will design a
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                             <b>personalized gluten sensor</b> through a synthetic biology approach. To do so, we
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                             <b>personalized gluten sensor</b> through a synthetic biology approach. To do so, we decided to build a <a href="https://2018.igem.org/Team:BioIQS-Barcelona/Model">model</a> based on the HLA expression of the patient which will be coupled to a sensor, allowing the detection of reactive gluten epitopes.</p>
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                            decided to build a model based on the HLA expression of the patient which will be coupled
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                            to a sensor, allowing the detection of reactive epitopes. The main specificities of our
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                            sensor are described as follows:</p>
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                     <a class="js-scroll-trigger a-arrow" href="https://2018.igem.org/Team:BioIQS-Barcelona#t-objectives"><span class="arrow down"></span></a>
 
                     <a class="js-scroll-trigger a-arrow" href="https://2018.igem.org/Team:BioIQS-Barcelona#t-objectives"><span class="arrow down"></span></a>
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                             <p class="apart big">first</p>
 
                             <p class="apart big">first</p>
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                             <p class="text-b">Since our sensor will be built <b>according to the patient HLA</b>, it
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                             <p class="text-b">To obtain de HLA-DQ from scratch. That means, to <a href="https://2018.igem.org/Team:BioIQS-Barcelona/Basic_Part" style="color: #032a5e; text-decoration: underline">extract</a> the &alpha; and &beta; chains <b>from the genomic DNA of a celiac patient.</b></p>
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                                will allow the detection of specific reactive epitopes independently of the food
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                                source.</p>
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                                    <img class="img" src="https://static.igem.org/mediawiki/2018/f/f7/T--BioIQS-Barcelona--2018_diagn.png" alt="Card image cap">
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                                    <img class="img" src="https://static.igem.org/mediawiki/2018/e/e2/T--BioIQS-Barcelona--2018_dna.png" alt="Card image cap">
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                             <p class="apart big">second</p>
 
                             <p class="apart big">second</p>
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                             <p class="text-b">Additionally, our sensor will be able to detect reactive epitopes even in
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                             <p class="text-b">To express the human HLA-DQ in a <b><a href="https://2018.igem.org/Team:BioIQS-Barcelona/Composite_Part" style="color: #032a5e; text-decoration: underline">bacterial</a> or yeast cell host.</b></p>
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                                <b>fermented foods.</b></p>
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                                    <img class="img" src="https://static.igem.org/mediawiki/2018/8/82/T--BioIQS-Barcelona--2018_salad.png" alt="Card image cap">
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                         <p class="apart big">third</p>
 
                         <p class="apart big">third</p>
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                         <!--<img class="image" src="images/epitop.png" alt="Card image cap">-->
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                         <!--<img class="image" src="img/epitop.png" alt="Card image cap">-->
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                         <p class="text-b">The methodology implemented in our sensor could be used for the <b>identification
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                         <p class="text-b">To develop <b>non-dimensional mathematical and stochastic models</b> to understand and predict the <a href="https://2018.igem.org/Team:BioIQS-Barcelona/Model"  style="color: #032a5e; text-decoration: underline">sensor dynamics.</a></p>
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                                of new reactive epitopes</b> and unknown allelic variants.</p>
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                     <p class="apart big">fourth</p>
 
                     <p class="apart big">fourth</p>
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Latest revision as of 15:08, 10 December 2018

BIO IQS

We are the BioIQS iGEM team!

Explore our project!

Welcome to our page

A brief resume:

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-DQ protein of a patient is expressed and used as a sensor to detect specific reactive gluten epitopes.

Celiac disease (CD) is an autoimmune disorder that is closely related with HLA (Human Leukocyte Antigen), a type of cell-surface proteins that are responsible for the regulation of the inmune systems in humans.

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 is a subset called HLA-DQ. There are several DQ isoforms that can bind to different gluten-derived epitopes and present them to T-cells. More specifically, 25% of the general population carry the HLA-DQ haplotype that recognizes gluten-derived epitopes, but only 1% of the population suffer from celiac disease.

As a consequence of T-cell activation, an inmune response is triggered, causing damage to the enterocytes present in the small intestine.

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, we developed a sensor based on this principle.

The development of a personalized sensor to detect 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.

Look our objectives!

Objectives

Here there are:

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 gluten epitopes.

first

To obtain de HLA-DQ from scratch. That means, to extract the α and β chains from the genomic DNA of a celiac patient.

second

To express the human HLA-DQ in a bacterial or yeast cell host.

third

To develop non-dimensional mathematical and stochastic models to understand and predict the sensor dynamics.

fourth

To provide information to the public to clear up common misunderstandings related to celiac disease.