Team:Goettingen/project overview/project

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        <h3>Project</h3>
 
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        <ul>
 
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        <li><a href="project_overview">Background</a></li>
 
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<ul>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview">The global burden of fungal infections</a></li>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview/fungal_infections">Fungal infections</a></li>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview/current_tools">Current diagnostic tools</a></li></ul>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview/project">Our project!</a></li>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview/perspectives">Further perspectives</a></li>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview/diganosis">Diagnosis</a></li>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview/therapeutics">Therapeutics</a></li></ul>
 
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        <li><a href="https://2014.igem.org/Team:Goettingen/project_overview/project_gallery">Gallery</a></li>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview/project_drylab">Dry lab</a></li>
 
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<li><a href="https://2014.igem.org/Team:Goettingen/project_overview/project_wetlab">Wet lab</a></li>
 
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       <h1 >Background</h1>
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       <div class="trans_zh"><a href="https://2014.igem.org/Team:Goettingen/project_overview/project_ZH"><b>中文</b></a></div>
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      <h2 id="global_burden">The global burden of fungal infections</h2>       <br />
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      <h1>Our project</h1>
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    <p>Fungal pathogens are a major public health threat with significant global effects which, surprisingly, is not being addressed as it should. Globally, around 1.5 million people die each year of invasive fungal infections and the number of people who die each year from the top 10 invasive fungal diseases is at least equal to those dying from tuberculosis or malaria. Moreover, the mortality rate of invasive fungal infections is usually greater than 50%.</p><br><p>In contrast, funding for medical mycology is highly underrepresented, accounting for 1.4-2.5% of the total of what the Wellcome Trust, the U.K. Medical Research Council and the U.S. National Institutes of Health spent in 5 years during the late 2010s. This underrepresentation could be just an effect of the number of applications for funding in the area, but even so, the need for an increased awareness and engagement by funding institutions and researchers is no less urgent: the development of new diagnostic and therapeutic tools is critical to improve the situation of high-risk patients.</p>
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<h2> Paving the way for new diagnostic and therapeutic tools</h2>
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<h2 id="fungal_inf">Fungal infections and current diagnostic tools</h2>
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Our aim is to develop a diagnostic technique based on an artificial, randomly selected and modified peptide. This peptide is capable of detecting the presence of fungal pathogens in a sample collected from a patient. Briefly, our approach is as follows. Through a yeast two-hybrid assay (screening method for protein-peptide interactions) we will select for peptides that show affinity towards surface proteins from different fungi (e.g. <i>Aspergillus nidulans</i>, <i>A. fumigatus, Candida albicans </i>or <i>C. glabrata</i>). After confirming the interaction between the surface proteins and a given peptide, we intend to attach a molecule to the peptide marker. In our project, this molecule will be a fluorescent protein, but in principle it can also be an immune system activator which is then recognized by the immune cells (macrophages) or a chemical moiety that adds novel functionalities or increases the peptide stability.</p><br /><br />
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<p>The most common fungal infections are superficial skin, nails and mucosal infections, which are caused in most cases by fungi of the genus <i>Candida</i>. These infections are usually not life threatening and have such common manifestations as athlete's foot and vulvovaginal candidiasis.</p>
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<h2>Why peptides?</h2>
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<br /><p>Invasive fungal infections, on the other hand, have unacceptably high mortality rates. Patients with a compromised immune system -such as AIDS patients and post-transplantation patients taking immunosupresants- are at special risk as they don't have the usual barriers that prevent invasive infections in healthy individuals.</p><br />
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<p>In comparison to antibodies or antibody fragments, synthetic peptides are small (10 to 20 times smaller than an antibody), easily synthesized, modified less expensively and show higher diffusion rates in tissues. We expect that a diagnostic method based on small peptides is more accurate and cheaper than other existing methods and also has the potential for <i>in vivo</i> diagnosis. This could extend the list of existing methods. Furthermore, the adaptability of our approach allows other laboratories to follow it to generate and refine their own peptides with specificity towards their proteins of interest, instead of ordering antibodies.
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<p>According to Brown, <i>et al</i>., (2012), more than 90% of the reported deaths caused by fungi are associated with species from four genera: <i>Cryptococcus</i>, <i>Candida</i>, <i>Aspergillus</i> and <i>Pneumocystis</i>, but epidemiological data for fungal infections is poor, as these infections are often misdiagnosed and there is a lack of accurate data from the developing world.</p><br />
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The possibilities of our project are illustrated in figure 1. A large antibody is unable to bind to a protein which is localized in the cell wall (Figure 1A), because of steric hindrance. By contrast, our <i>“PepTag”</i> has, compared to an antibody, the advantage that it is small and thereby can bind to a cell wall protein even if it is masked by other cell wall structures like glycoproteins (Figure 1B).
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    </p>
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<h3>Endemic dimorphic fungosis</h3><br />
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<p> The following map is an adaptiation of the information presented in Brown, <i>et al</i>., (2012), where the authors make some comments regarding the quality of that information: 1) the data is extrapolated from a few and geographically localized studies and 2) accurate data is lacking from the developing world and the calculations may underestimate the true values of the presented statistics.</p><br />
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<b>Figure 1| Schematic comparison of antibody and PepTag in the attempt to bind to a surface molecule.</b> In part A and B from bottom to top of the zoomed-in section, the details are as follow. The Plasma Membrane is on the bottom. On top of it, the cell wall components: the β-1-3 glucan strains in light blue, chitin in purple, the β-1-6 glucan layer in grey, the glycoproteins (like mannoproteins) as red spirals and finally both the plasma membrane proteins and the cell wall proteins can be seen in different shades of green. Part A illustrates an antibody trying to bind, however the presence of the glycoproteins generate a steric impediment for such interaction to occur. Figure B shows how a small peptide attached to a scaffold protein can actually pass in between the glycoproteins and bind successfully to its target cell wall protein. Upon this positive interaction, different applications result evident, in this case the binding of an “Immune System Activator” (e.g. sorts of sugar or a chemical compound) molecule is depicted in orange, which would result in the tagging of a specific fungal strain so as to activate the natural immune system response.<br />
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<div><a href="https://2014.igem.org/Team:Goettingen/project_overview" class="button_pre"><b>Previous</b></a><a href="https://2014.igem.org/Team:Goettingen/project_overview/project_wetlab" class="button_next"><b>Next</b></a></div>
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<h2>Our project: paving the way for new diagnostic and therapeutic tools</h2>
 
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    <p>
 
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  Our aim is to develop a diagnostic technique capable of detecting the presence of fungal pathogens in  a sample collected from a patient. Briefly, our approach is as follows. Through a yeast two-hybrid assay we will select a set of peptides that show affinity towards surface proteins from different fungi (<i>Aspergillus nidulans</i>, <i>A. fumigatus</i>, <i>Candida albicans</i> and <i>C. glabrata</i>). After confirming the interaction between the surface proteins and a given peptide, we intend to attach a molecule to the peptide marker. In our project, this molecule will be a fluorescent protein, but in principle can also be an immune system activator which is then recognized by the immune cells or other chemical moiety that adds novel functionalities or increases the peptide stability. In comparison to antibodies or antibody fragments, peptides are small, easily synthesized, modified less expensively and show higher diffusion rates in tissues. We expect our method to be faster, more accurate and cheaper than other existing methods. Other laboratories may follow our approach to generate and refine their own peptides with specificity towards their proteins of interest.
 
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Latest revision as of 15:40, 17 October 2014

Our project

Paving the way for new diagnostic and therapeutic tools


Our aim is to develop a diagnostic technique based on an artificial, randomly selected and modified peptide. This peptide is capable of detecting the presence of fungal pathogens in a sample collected from a patient. Briefly, our approach is as follows. Through a yeast two-hybrid assay (screening method for protein-peptide interactions) we will select for peptides that show affinity towards surface proteins from different fungi (e.g. Aspergillus nidulans, A. fumigatus, Candida albicans or C. glabrata). After confirming the interaction between the surface proteins and a given peptide, we intend to attach a molecule to the peptide marker. In our project, this molecule will be a fluorescent protein, but in principle it can also be an immune system activator which is then recognized by the immune cells (macrophages) or a chemical moiety that adds novel functionalities or increases the peptide stability.



Why peptides?

In comparison to antibodies or antibody fragments, synthetic peptides are small (10 to 20 times smaller than an antibody), easily synthesized, modified less expensively and show higher diffusion rates in tissues. We expect that a diagnostic method based on small peptides is more accurate and cheaper than other existing methods and also has the potential for in vivo diagnosis. This could extend the list of existing methods. Furthermore, the adaptability of our approach allows other laboratories to follow it to generate and refine their own peptides with specificity towards their proteins of interest, instead of ordering antibodies. The possibilities of our project are illustrated in figure 1. A large antibody is unable to bind to a protein which is localized in the cell wall (Figure 1A), because of steric hindrance. By contrast, our “PepTag” has, compared to an antibody, the advantage that it is small and thereby can bind to a cell wall protein even if it is masked by other cell wall structures like glycoproteins (Figure 1B).


Figure 1| Schematic comparison of antibody and PepTag in the attempt to bind to a surface molecule. In part A and B from bottom to top of the zoomed-in section, the details are as follow. The Plasma Membrane is on the bottom. On top of it, the cell wall components: the β-1-3 glucan strains in light blue, chitin in purple, the β-1-6 glucan layer in grey, the glycoproteins (like mannoproteins) as red spirals and finally both the plasma membrane proteins and the cell wall proteins can be seen in different shades of green. Part A illustrates an antibody trying to bind, however the presence of the glycoproteins generate a steric impediment for such interaction to occur. Figure B shows how a small peptide attached to a scaffold protein can actually pass in between the glycoproteins and bind successfully to its target cell wall protein. Upon this positive interaction, different applications result evident, in this case the binding of an “Immune System Activator” (e.g. sorts of sugar or a chemical compound) molecule is depicted in orange, which would result in the tagging of a specific fungal strain so as to activate the natural immune system response.