Difference between revisions of "Team:FAU Erlangen/Description"

 
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{{FAU_Erlangen}}
 
 
 
<html>
 
<html>
 +
<head>
  
 +
   
 +
   
 +
 +
    <link type="text/css" rel="stylesheet" href="https://2019.igem.org/Template:FAU_Erlangen/CSS?action=raw&ctype=text/css">
 +
       
 +
        <link href="https://stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css" rel="stylesheet" integrity="sha384-wvfXpqpZZVQGK6TAh5PVlGOfQNHSoD2xbE+QkPxCAFlNEevoEH3Sl0sibVcOQVnN" crossorigin="anonymous">
  
  <head>
 
    <meta charset="utf-8">
 
    <meta content="width=device-width, initial-scale=1" name="viewport" />
 
 
      
 
      
  <link rel="stylesheet" type="text/css" href="https://2019.igem.org/wiki/index.php?title=Template:FAU_Erlangen/CSS&action=raw&ctype=text/css" />
+
   
 +
   
  
 +
    <script src="http://example.org/js/bundle.min.js"></script>
 +
</head>
 +
<body class="font-sans antialiased bg-grey-lightest">
  
    <title>iGEM Erlangen 2019</title>
+
<style>
  </head>
+
    .fancy-btn-blue {
  <body>
+
        background-image: linear-gradient(148deg, #5DBDFF 0%, #1C43D9 100%);
</div>
+
        box-shadow: 2px 2px 5px 0 rgba(0, 0, 0, 0.22);
    <header class="showcase">
+
        border-radius: 2rem;
        <div class="content">
+
        margin-top: 0.75rem !important;
         <img src="https://static.igem.org/mediawiki/2019/0/0f/T--FAU_Erlangen--logo.svg" class="logo" alt="iGem Erlangen">
+
        padding: 0.5rem 0.75rem 0.5rem 0.75rem !important;
        <div class="title">
+
    }
          B.A.A.C.C.
+
 
 +
    .fancy-btn-blue:hover {
 +
        box-shadow: 4px 4px 10px 0 rgba(0, 0, 0, 0.3);
 +
        margin-top: 0.6rem !important;
 +
        padding: 0.65rem 0.9rem 0.65rem 0.9rem;
 +
    }
 +
 
 +
   
 +
    .btn-arrow {
 +
        display: block;
 +
        background: url('https://static.igem.org/mediawiki/2019/c/cc/T--FAU_Erlangen--arrow-right.svg');
 +
        background-repeat: no-repeat;
 +
        background-size: 15px 11px;
 +
        background-position: 0px 4px;
 +
        margin-left: 6px;
 +
        padding-left: 26px;
 +
 
 +
        -webkit-transition: background-position .05s ease-in;
 +
        -moz-transition: background-position .05s ease-in;
 +
        -o-transition: background-position .05s ease-in;
 +
        transition: background-position .05s ease-in;
 +
    }
 +
 
 +
    .btn-arrow:hover {
 +
        background-position: 3px 4px;
 +
    }
 +
 
 +
   
 +
    .social-bar {
 +
        position: fixed;
 +
        left: 20px;
 +
        top: 50%;
 +
        margin-top: -98px;
 +
        width: 196px;
 +
    }
 +
 
 +
    .social-bar a {
 +
        display: block;
 +
        width: 39px;
 +
        height: 39px;
 +
        opacity: 0.4;
 +
        padding: 0;
 +
        margin: 0;
 +
    }
 +
 
 +
    .social-bar a:hover {
 +
        opacity: 0.6;
 +
    }
 +
 
 +
    .social-bar ul {
 +
        display: block;
 +
        width: 39px;
 +
    }
 +
 
 +
    .social-bar li {
 +
        display: block !important;
 +
        padding: 0;
 +
        margin: 5px 0;
 +
        width: 39px;
 +
        height: 39px;
 +
    }
 +
 
 +
    .facebook {
 +
        background: url('/images/facebook.svg');
 +
        background-size: 39px 39px;
 +
    }
 +
 
 +
    .instagram {
 +
        background: url('/images/instagram.svg');
 +
        background-size: 39px 39px;
 +
    }
 +
 
 +
    .twitter {
 +
        background: url('/images/twitter.svg');
 +
        background-size: 39px 39px;
 +
    }
 +
 
 +
    .youtube {
 +
        background: url('https://static.igem.org/mediawiki/2019/7/78/T--FAU_Erlangen--youtube.svg');
 +
        background-size: 39px 39px;
 +
    }
 +
 
 +
   
 +
 
 +
    nav {
 +
        position: absolute;
 +
        top: 85px;
 +
        right: 50px;
 +
    }
 +
 
 +
    .sticky-header nav {
 +
        top: 15px;
 +
        right: 50px;
 +
    }
 +
 
 +
    header ul, .sticky-header ul {
 +
        list-style: none;
 +
        margin: 0;
 +
        padding-left: 0;
 +
    }
 +
 
 +
    header li, .sticky-header li {
 +
        color: #fff;
 +
        display: block;
 +
        float: left;
 +
        padding: 1rem;
 +
        position: relative;
 +
        text-decoration: none;
 +
        transition-duration: 0.5s;
 +
    }
 +
 
 +
    header li:hover,
 +
    header li:focus-within,
 +
    .sticky-header li:hover,
 +
    .sticky-header li:focus-within {
 +
        cursor: pointer;
 +
    }
 +
 
 +
    header li:focus-within a,
 +
    .sticky-header li:focus-within a {
 +
        outline: none;
 +
    }
 +
 
 +
    header ul li,
 +
    .sticky-header ul li {
 +
        width: 140px;
 +
        font-size: 0.8rem;
 +
        margin: 0.1rem;
 +
    }
 +
 
 +
    header ul li ul,
 +
    .sticky-header ul li ul {
 +
        visibility: hidden;
 +
        opacity: 0;
 +
        display: none;
 +
 
 +
       
 +
        width: 140px;
 +
       
 +
        transition: all 0.5s ease;
 +
        margin-top: 1rem;
 +
        left: 0;
 +
    }
 +
 
 +
    header ul li:hover>ul,
 +
    header ul li:focus-within>ul,
 +
    header ul li ul:hover,
 +
    header ul li ul:focus,
 +
    .sticky-header ul li:hover>ul,
 +
    .sticky-header ul li:focus-within>ul,
 +
    .sticky-header ul li ul:hover,
 +
    .sticky-header ul li ul:focus
 +
    {
 +
        visibility: visible;
 +
        opacity: 1;
 +
        display: block;
 +
    }
 +
 
 +
    header ul li ul li,
 +
    .sticky-header ul li ul li {
 +
        clear: both;
 +
        font-size: 0.7rem;
 +
        margin: -1rem;
 +
        text-shadow: none;
 +
        width: 140px;
 +
       
 +
    }
 +
 
 +
    header ul li ul li a,
 +
    .sticky-header ul li ul li a {
 +
        display: block;
 +
        color: #737373;
 +
        margin-left: -0.6rem;
 +
        margin-right: -0.6rem;
 +
        padding: 0.6rem;
 +
        border: 1px solid transparent;
 +
    }
 +
 
 +
    header ul li ul li:last-child,
 +
    .sticky-header ul li ul li:last-child {
 +
        margin-bottom: -1.6rem;
 +
    }
 +
 
 +
    header ul li ul li a:hover,
 +
    .sticky-header ul li ul li a:hover {
 +
        background: rgba(255, 255, 255, 0.4);
 +
        border-radius: 6px;
 +
        border: 1px solid rgba(0, 0, 0, 0.1);
 +
    }
 +
 
 +
    .dropdown-item {
 +
        text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.30);
 +
        border-radius: 6px;
 +
    }
 +
 
 +
    #mobile-navigation {
 +
        position: fixed;
 +
        right: 0 !important;
 +
        top: 0;
 +
        margin: 0;
 +
        background: rgba(255, 255, 255, 0.8);
 +
        color: black !important;
 +
        box-shadow: -10px 0 -20px rgba(2,10,50,1);
 +
        height: 100vh;
 +
        z-index: 9001;
 +
 
 +
        transition: all 0.1s ease-in-out;
 +
        overflow: scroll;
 +
    }
 +
 
 +
    #mobile-navigation ul {
 +
        display: block;
 +
        width: 200px;
 +
    }
 +
 
 +
    #mobile-navigation li {
 +
        display: block !important;
 +
        padding: 1rem;
 +
        margin: 5px 0;
 +
        height: 39px;
 +
        font-size: 10px;
 +
        width: 100%;
 +
        color: black !important;
 +
    }
 +
 
 +
    #mobile-navigation li a {
 +
        display: block;
 +
        color: #737373;
 +
        margin-left: -0.6rem;
 +
        margin-right: -0.6rem;
 +
        padding: 0.6rem;
 +
        border: 1px solid transparent;
 +
    }
 +
 
 +
    #mobile-navigation li a:hover {
 +
        background: rgba(255, 255, 255, 0.4);
 +
        border-radius: 6px;
 +
        border: 1px solid rgba(0, 0, 0, 0.1);
 +
    }
 +
 
 +
    .has-dropdown::after {
 +
        display: inline-block;
 +
        content: ' ';
 +
        margin-left: 0.3rem;
 +
        background: url('/images/dropdown.svg');
 +
        text-shadow: 0px 0px 0px transparent;
 +
        width: 12px;
 +
        height: 9px;
 +
    }
 +
 
 +
    .dropdown-item:hover,
 +
    .dropdown-item:focus,
 +
    .dropdown-item:focus-within {
 +
        background-color: rgba(255, 255, 255, 0.8);
 +
        box-shadow: 7px 7px 25px 0 rgba(0, 0, 0, 0.22);
 +
        width: 140px;
 +
        color: #2D4459;
 +
    }
 +
 
 +
    .sticky-header .dropdown-item:hover,
 +
    .sticky-header .dropdown-item:focus,
 +
    .sticky-header .dropdown-item:focus-within {
 +
        background-color: rgba(255, 255, 255, 0.95);
 +
    }
 +
 
 +
    .menu-dropdown {
 +
        background: transparent;
 +
        -moz-transition: all 0.2s ease-in;
 +
        -webkit-transition: all 0.2s ease-in;
 +
        -o-transition: all 0.2s ease-in;
 +
        transition: all 0.2s ease-in;
 +
        border-radius: 6px;
 +
    }
 +
 
 +
    .menu-dropdown:hover {
 +
       
 +
        background: rgba(255, 255, 255, 0.6);
 +
        box-shadow: 7px 7px 25px 0 rgba(0, 0, 0, 0.22);
 +
    }
 +
 
 +
    .menu-item {
 +
        border: 1px transparent;
 +
        color: #737373;
 +
    }
 +
 
 +
    .menu-item:hover {
 +
       
 +
        box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.05);
 +
        background: rgba(0, 0, 0, 0.1);
 +
        border-radius: 4px;
 +
    }
 +
</style>
 +
 
 +
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    <div class="mx- pt-6 w-full">
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 +
       
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         <a href="https://2019.igem.org/Team:FAU_Erlangen">
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        <div id="logo" class="inline-block align-middle ml-6 mt-6">
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          Bispecific Antibody Against Colorectal Cancer
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  <section class="abstract">
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<div style="position: absolute; top: 0; right: 0; height: 1157px; width: 100%;">
    <h2>Abstract</h2>
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        <h1 class="text-white text-5xl z-10" style="display: block; position: absolute; left: 50%; top: 50%; width: 450px; height: 150px; line-height: normal; vertical-align: middle; text-align: center; margin-top: -30px; margin-left: -225px;">Project Inspiration and Description</h1>
      <p>Colorectal cancer is the second-largest cause of cancer-related death. While the primary tumor is relatively easy to remove surgically, metastases present dangerous complications. The major hurdles in treating the secondary tumors are locating them, eliminating only the aberrant cells, and reducing the negative treatment side-effects (Kuipers et al. 2015; Steeg 2016). Thus our iGEM Team at FAU Erlangen will create a bispecific antibody as a targeting marker, enabling T-lymphocytes to target colorectal cancer cells. Our protein is designed as a Bispecific T-cell Engager (BiTE)  as novel pathway for T-lymphocytes, a component of the body’s immune system to actively attack cancer cells. The challenge being to test several different approaches for producing bispecific antibodies in <i>E. coli</i> regarding the production efficacy, the ease of the procedure, and the stability and binding affinity of the product. Using the tools provided by synthetic biology, we hereby strive to gain new insights that will prove beneficial in streamlining the production process of bispecific antibodies and reducing production costs.</p>
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  </div>
  
      <button class="accordion">The Current State of Antibody Therapy</button>
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         <div class="panel bg-light">
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</header>
          <p>Since the application of bispecific antibodies is a relatively new approach, current protocols for production are not yet standardized. In most cases mammalian cells are used for the expression of these proteins. However, this expression system is associated with very high costs and proves to be very time-consuming. The use of the bacterial host  <i>Escherichia coli</i> poses an alternative for the expression of recombinant protein. It is well published and provides many advantages over the expression in mammalian cells, such as a far cheaper cultivation due to the higher proliferation rate and faster protein production. Despite these benefits, producing proteins of mammalian origin in <i>E. coli</i> has been shown to be difficult since post-translational modifications are often vital to protein folding and function and cannot be replicated in these bacterial systems. Especially for complex proteins like antibodies, misfolding is often detrimental for their solubility and performance (Spadiut et al. 2014; Liu und Huang 2018; Lee und Jeong 2015). <br>
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          Devising a reliable and well applicable procedure to successfully express a functional bispecific antibody in bacterial cells is crucial in fully accessing their therapeutic potential by facilitating cost- and time-effective research. However, published protocols vary immensely and offer no conclusive approach to producing recombinant, bispecific antibodies in bacteria.
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          </p>
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      <button class="accordion">Our Approach and What We Hope to Accomplish in the Wet Lab</button>
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<div class="sm:hidden xs:hidden md:hidden lg:hidden sticky-header sticky-off sticky top-0 z-50 shadow-xl" style="background: url('https://static.igem.org/mediawiki/2019/a/ab/T--FAU_Erlangen--sticky-background-green.svg'); height: 80px;">
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            For our experiments we chose to create a bispecific antibody against CD3 on T-lymphocytes and GPA33. GPA33 can be found on 95% of all colorectal cancer cells, thereby allowing them to be specifically targeted (Heath et al. 1997). By also binding CD3, the bispecific antibody can bring cytotoxic T-lymphocytes (CTLs) into direct contact with the cancer cells, which activates the CTLs to release their cytotoxic granules and kill the malignant cell (Osada et al. 2010; Gruber et al. 1994). Our protein is designed as a Bispecific T-cell Engager (BiTE) and consists of two distinct single-chain variable Fragments (scFv) that are connected via a flexible linker (Sedykh et al. 2018). <br>
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We are going to use a pET27b plasmid with a T7 promoter and lacZ control, as well as a pACYC184 plasmid with a ptac promoter in the E. coli strains BL21, BL21 Star and Tuner. By using a variety of expression systems, we can determine the most efficient one for our purposes.
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It is well published that periplasmic expression of recombinant protein offers an oxidizing environment that is beneficial for correct protein folding, as well as a reduced number of proteases that may degrade our protein (Liu und Huang 2018; Thie et al. 2008). For this reason, we plan to use a PelB leader sequence to transport our constructs to the periplasm of E. coli for synthesis. </p> <p>
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            In summary, we pursue three approaches: </p>
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            <p> In our first approach, we plan on expressing a complete BiTE molecule that will serve as reference for our other production strategies. </p>
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            <img src="https://static.igem.org/mediawiki/2019/6/63/T--FAU_Erlangen--picture-1.png" alt="" width="100%">
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            <p> In our second approach, we express the two scFvs separately as fusion proteins with SpyTag or SpyCatcher, respectively. This system relies on a split domain of the FbaB protein from Streptococcus pyogenes to form a covalent, isopeptide bond upon co-culturing. This allows us to avoid the possible problem of producing a large, complex protein that could result in the formation of insoluble aggregates. Furthermore, the SpyTag/SpyCatcher system is fashioned after a modular concept. If this approach proves to be successful, it will be possible to express several effector subunits with varying affinities or functions, i.e. different antigen specificities or enzymatic activity, and connect them. This will allow for a flexible modular system that might be adapted with regards to current requirements in a fast and easy manner. </p>
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            <img src="https://static.igem.org/mediawiki/2019/a/a6/T--FAU_Erlangen--picture-3.png" alt="" width="100%">
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            <p> In our last approach, we intend to produce CD3- and GPA33-specific antibody fragments, so called Fabs, and link them together via disulfide bonds. This chemical conjugation is achieved by using a bis-dibromomaleimide cross-linker, providing a versatile method to produce bispecific antibodies (Hull et al. 2014). </p>
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            <img src="https://static.igem.org/mediawiki/2019/3/35/T--FAU_Erlangen--picture-4.png" alt="" width="100%">
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<p>
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To test the binding activity of our products, we will perform killing assays with blood derived CTLs. We will further test their stability at different temperatures and pH conditions.
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Altogether, the assays will provide a comparative evaluation of the properties of our different products and permit the assessment of their respective value for clinical or scientific application.
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              By trainnig a neural network, it will also be possible to predict potential allergenicity of our bispecific antibodies. This will also prove beneficial as a prognostic tool to produce other recombinant proteins and their possible clinical application.  
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Furthermore, by modelling the different types of linkers with MD-Simulation, we want to predict the stability of the linkers used in the wet lab.</p>
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            <p>We are a team that is tackling problems of the emerging field of molecular immunology - no team in Erlangen has done this before. Here in Erlangen, we have an optimal professional network, since the newly established Masters-Program has been opened to sustain the ongoing research in this field, from which we can benefit greatly. Furthermore, our Team has an interdisciplinary approach as we have sub-teams working on chemical ligation of Fab-Fragments and a deep-learning approach to predicting immune reactions concerning different allergens. Our interdisciplinary approach is comprehensive as it covers the cure as well as the side effects by predicting these with our neural network software.</p>
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<p>This project is the result of a kickstart weekend in January 2018 with almost all iGEM members of the current team. During this weekend we developed a bunch of promising project ideas. The idea of working with Bispecific Antibodies Against Colorectal Cancer suggested by the students of the program Integrated Immunology excited all members of the team, since it gives the possibility to integrate the knowledge of the students of the fields of informatics, chemistry and computational biology.</p>
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          <h3>References</h3>
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            <li>Gruber, M.; Schodin, B. A.; Wilson, E. R.; Kranz, D. M. (1994): Efficient tumor cell lysis mediated by                         a bispecific single chain antibody expressed in Escherichia coli. In: Journal of immunology (Baltimore, Md. : 1950) 152 (11), S. 5368–5374.</li>
+
                          
            <li>Heath, J. K.; White, S. J.; Johnstone, C. N.; Catimel, B.; Simpson, R. J.; Moritz, R. L. et al. (1997): The human A33 antigen is a transmembrane glycoprotein and a novel member of the immunoglobulin superfamily. In: Proceedings of the National Academy of Sciences of the United States of America 94 (2), S. 469–474. DOI: 10.1073/pnas.94.2.469.</li>
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                        <li><a href="https://2019.igem.org/Team:FAU_Erlangen/Model">Model</a></li>
Hull, Elizabeth A.; Livanos, Maria; Miranda, Enrique; Smith, Mark E. B.; Chester, Kerry A.; Baker, James R. (2014): Homogeneous bispecifics by disulfide bridging. In: Bioconjugate chemistry 25 (8), S. 1395–1401. DOI: 10.1021/bc5002467.</li>
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            <li>Kuipers, Ernst J.; Grady, William M.; Lieberman, David; Seufferlein, Thomas; Sung, Joseph J.; Boelens, Petra G. et al. (2015): Colorectal cancer. In: Nature reviews. Disease primers 1, S. 15065. DOI: 10.1038/nrdp.2015.65.</li>
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            <li>Lee, Yong Jae; Jeong, Ki Jun (2015): Challenges to production of antibodies in bacteria and yeast. In: Journal of bioscience and bioengineering 120 (5), S. 483–490. DOI: 10.1016/j.jbiosc.2015.03.009.</li>
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                    </ul>
            <li>
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                </li>
Liu, Yongkang; Huang, He (2018): Expression of single-domain antibody in different systems. In: Applied microbiology and biotechnology 102 (2), S. 539–551. DOI: 10.1007/s00253-017-8644-3.</li>
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            <li>Osada, T.; Hsu, D.; Hammond, S.; Hobeika, A.; Devi, G.; Clay, T. M. et al. (2010): Metastatic colorectal cancer cells from patients previously treated with chemotherapy are sensitive to T-cell killing mediated by CEA/CD3-bispecific T-cell-engaging BiTE antibody. In: British journal of cancer 102 (1), S. 124–133. DOI: 10.1038/sj.bjc.6605364.</li>
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            <li>Sedykh, Sergey E.; Prinz, Victor V.; Buneva, Valentina N.; Nevinsky, Georgy A. (2018): Bispecific antibodies: design, therapy, perspectives. In: Drug design, development and therapy 12, S. 195–208. DOI: 10.2147/DDDT.S151282.</li>
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            <li>Spadiut, Oliver; Capone, Simona; Krainer, Florian; Glieder, Anton; Herwig, Christoph (2014): Microbials for the production of monoclonal antibodies and antibody fragments. In: Trends in biotechnology 32 (1), S. 54–60. DOI: 10.1016/j.tibtech.2013.10.002.</li>
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            <li>Steeg, Patricia S. (2016): Targeting metastasis. In: Nature reviews. Cancer 16 (4), S. 201–218. DOI: 10.1038/nrc.2016.25.</li>
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            <li>Thie, Holger; Schirrmann, Thomas; Paschke, Matthias; Dübel, Stefan; Hust, Michael (2008): SRP and Sec pathway leader peptides for antibody phage display and antibody fragment production in E. coli. In: New biotechnology 25 (1), S. 49–54. DOI: 10.1016/j.nbt.2008.01.001.</li>
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 +
<h1 id="how-it-came-about-our-fascination-for-antibody-engineering-and-modularity">How it came about: Our fascination for Antibody Engineering and Modularity</h1>
 +
 
 +
 
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<div class="mx-auto w-1/2 my-20">
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    <img class="shadow-lg rounded-lg" src="https://static.igem.org/mediawiki/2019/1/17/T--FAU_Erlangen--PHOTO-2019-01-13-18-18-30.jpg">
 +
    <div class="text-center mt-4">Our kick-off weekend</div>
 +
</div>
 +
 
 +
 
 +
<p>In order to find a project idea, our student leaders organised a kickstart week-end. It didn’t take long for the students of the special masters course in? Integrated immunology to excite the other students to face the challenges and potential immunology has to offer synthetic biologists. The Bispecific T-cell engager (BiTE) caught our fascination as a modular construct and served as inspiration for creating a similar Bispecific Antibody (BsAb). Removed of problematic components for prokaryotic expression, such as the glycolysation, it seemed ideal to be expressed in parts or as a whole .</p>
 +
 
 +
<h1 id="bsab-structure-and-function">BsAb structure and function</h1>
 +
 
 +
<p>The BsAb, short for Bispecific Antibody, is a fusion protein composed of two antigen binding fragments coupled together via a linker. Although the sequence derives from a somatic antibody, an antigen binding fragment is a single peptide chain, called single chain variable Fragment (scFv). Thus, it is not solely connected through disulfide-bridges, as is the case with somatic antibodies (Sedykh et al. 2018). One antigen binding fragment is specific to T-cell surface structures by recruiting T-cells. Whilst the other antigen binding Fragment on the other end is specific to unwanted cells, such as cancer cells. In turn it brings T-cells bound on the other end of the BsAb in direct vicinity. In this manner BsAbs can be used to target aberrant tissues very locally, in contrast to the broad effect of chemotherapy, especially in the phase of metastasizing cancer cells.</p>
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<div>
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    <img class="w-2/3 mx-auto" src="https://static.igem.org/mediawiki/2019/c/cd/T--FAU_Erlangen--Bispecific_antibodies.svg" />
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    <div class="block w-2/3 mx-auto my-12 text-center">
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    <p class="inline-block font-bold">Figure 1</p>: BsAbs with different linkers
 
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<p>We set out designing our modular BsAbs. The diagram above depicts a construct linking SpyTag and SpyCatcher. The components SpyTag and SpyCatcher are separate peptide sequences, each fusioned respectively to a scFv (single chain variable fragment) containing only one antigen binding site and forming half a BsAb each. Such subunits can be expressed in co-cultures, later linked irreversibly by an in-vitro isopeptide reaction of SpyTag with SpyCatcher. This seemed very promising for modularity.</p>
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<p>Firstly a set of different effector subunits could be expressed with varying affinities or functions, i.e. different antigen specificities or enzymatic activity.</p>
  
 +
<p>Secondly subunits are linked in vitro, configured to the BsAb most suited to the treatment situation.</p>
 +
 +
<p>Furthermore different expression systems could be used, with the BsAb broken down into short length sequences ideal for DNA vectors. Thereby the possible problem of producing a large, complex protein that could result in the formation of insoluble aggregates can be avoided. We therefore focused on the SpyTag/SpyCatcher linked BsAb.</p>
 +
 +
<p>Our wet-lab team decided to test three different designs inspired by the BsAb, which differ in their linker:</p>
 +
 +
 +
<ol style="list-style: decimal !important; margin-left: 20px;">
 +
<li class="my-4" style="padding-left: 10px;">SpyTag/SpyCatcher system linking two scFvs (single chain variable fragment)</li>
 +
<li class="my-4" style="padding-left: 10px;">Chemical ligation of four fragments</li>
 +
<li class="my-4" style="padding-left: 10px;">BsAb expressed as a whole unit and as standard of comparison</li>
 +
</ol>
 +
 +
 +
<p>For the details and further literature of our design see the design page.</p>
 +
 +
<p>In the process of explaining the details of bispecific antibodies to other team members a section of our team devoted to informatics, chemistry, and computational biology saw their opportunity to implement molecular dynamic simulations and neural networks for antibody engineering. Having defined parts of the therapeutic agent it turned out that the linking component would be key to proper functioning, as it determines not only the modular potential but also stability and binding affinity of the BsAb on the whole.</p>
 +
 +
<h1 id="setting-our-project">Setting our project</h1>
 +
 +
<p>We chose the setting of colorectal cancer to apply our ideas and achieve a comprehensive approach to fight the disease. Colorectal cancer is still the second-largest cause of cancer-related death. The major hurdles of traditional treatments are the negative side effects of the treatment and the problem of targeting and eliminating secondary tumours (Kuipers et al. 2015; Steeg 2016 and Noone A. M. et al. 2018). Bispecific antibodies, such as the Bispecific T-cell Engager (BiTE) are a promising approach to overcome these hurdles, enabling immune-cells to target colorectal cancer cells specifically (Graber K. 2014).</p>
 +
 +
<div>
 +
    <img class="w-2/3 mx-auto" src="https://static.igem.org/mediawiki/2019/f/ff/T--FAU_Erlangen--BsAB_cancer_cells.svg" />
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    <div class="block w-2/3 mx-auto my-12 text-center">
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    <p class="inline-block font-bold">Figure 2</p>: Non recognition of tumor cells vs.  BsAB in action
 +
    </div>
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</div>
 +
 +
<p>Our BsAb is geared against CD3 on T-lymphocytes and GPA33. GPA33 can be found on 95% of all colorectal cancer cells, thereby allowing them to be specifically targeted (Heath et al. 1997). By also binding CD3, the BsAb can bring cytotoxic T-lymphocytes (CTLs) into direct contact with the cancer cells, which activates the CTLs to release their cytotoxic granules and kill the malignant cell (Osada et al. 2010; Gruber et al. 1994).</p>
 +
 +
<h1 id="wet-lab-and-proof-of-concept">Wet lab and Proof of Concept</h1>
 +
 +
<p>Since the application of bispecific antibodies is a relatively new approach, current protocols for their production are not yet standardized. In most cases mammalian cells are used for the expression of these proteins. However, this expression system is associated with very high costs and proves to be very time-consuming. The use of the bacterial host Escherichia coli poses an alternative for the expression of recombinant protein. It is well published and provides many advantages over the expression in mammalian cells. The cultivation is far cheaper due to the higher proliferation rate and faster protein production. Despite these benefits, producing proteins of mammalian origin in E. coli has shown to be difficult since post-translational modifications are often vital to protein folding and function and cannot be replicated in these bacterial systems. Especially for complex proteins like antibodies, misfolding is often detrimental for their solubility and performance (Spadiut et al. 2014; Liu und Huang 2018; Lee und Jeong 2015). A solution however would be the periplasmic expression of recombinant protein, as this offers an oxidizing environment that is beneficial for correct protein folding, as well as a reduced number of proteases that may degrade our protein (Liu und Huang 2018; Thie et al. 2008). For this reason, we plan to use a PelB leader sequence to transport our constructs to the periplasm of E. coli for synthesis.</p>
 +
 +
<p>By using a variety of expression systems, we can determine the most efficient one for our purposes. We are going to use a pET27b plasmid with a T7 promoter and lacZ control, as well as a pACYC184 plasmid with a ptac promoter in the E. coli strains BL21, BL21 Star and Tuner. For eukaryotic expression we will use the HEK cell line.</p>
 +
 +
<p><strong>Our intermediate steps to reach our ultimate goal of producing one modular Tag and Catcher BsAb are:</strong></p>
 +
 +
 +
<ol style="list-style: decimal !important; margin-left: 20px;">
 +
<li class="my-4" style="padding-left: 10px;">Designing the sequences</li>
 +
<li class="my-4" style="padding-left: 10px;">Transfection and Transformation of our different constructs in different prokaryotic and eukaryotic stems</li>
 +
<li class="my-4" style="padding-left: 10px;">Expression, yield and purification</li>
 +
<li class="my-4" style="padding-left: 10px;">First test: Western blot</li>
 +
<li class="my-4" style="padding-left: 10px;">Linking</li>
 +
<li class="my-4" style="padding-left: 10px;">Second test and proof of concept: cytotoxic killing essays</li>
 +
</ol>
 +
 +
 +
<p>Due to difficulties with ethical regulations we decided to use the professional network of FAU and cooperated with Prof. Dr. Matthias Peipp to get help with the Cytotoxic Killing Assays. See Documentation on Experiments page.</p>
 +
 +
<p>With MD-simulations (molecular dynamics) of our linker sequences the stability and binding affinity of the product can be analysed. Furthermore, the use of neural networks should allow us to predict allergenicity of bispecific antibody prototypes, thus reducing costly stalemate wet-lab endeavours and thereby integrating different disciplines and rounding off our comprehensive approach.</p>
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<div class="mx-auto w-2/3 my-20">
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    <img class="rounded-lg" src="https://static.igem.org/mediawiki/2019/a/a2/T--FAU_Erlangen--BsAb_Workflow.svg">
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</div>
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 +
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<h2 id="references">References</h2>
 +
 +
<ol>
 +
<li><p>Sedykh, Sergey E.; Prinz, Victor V.; Buneva, Valentina N.; Nevinsky, Georgy A. (2018): Bispecific antibodies: design, therapy, perspectives. In: Drug design, development and therapy 12, S. 195–208. DOI: 10.2147/DDDT.S151282.</p></li>
 +
 +
<li><p>Kuipers, Ernst J.; Grady, William M.; Lieberman, David; Seufferlein, Thomas; Sung, Joseph J.; Boelens, Petra G. et al. (2015): Colorectal cancer. In: Nature reviews. Disease primers 1, S. 15065. DOI: 10.1038/nrdp.2015.65.</p></li>
 +
 +
<li><p>Noone A. M., et al.: SEER Cancer Statistics Review, 1975-2015, National Cancer Institute. National Cancer Institute. Bethesda, MD 2018.</p></li>
 +
 +
<li><p>Garber K.: Bispecific antibodies rise again. Nature Reviews Drug Discovery 2014:13, 799–801</p></li>
 +
 +
<li><p>Heath, J. K.; White, S. J.; Johnstone, C. N.; Catimel, B.; Simpson, R. J.; Moritz, R. L. et al. (1997): The human A33 antigen is a transmembrane glycoprotein and a novel member of the immunoglobulin superfamily. In: Proceedings of the National Academy of Sciences of the United States of America 94 (2), S. 469–474. DOI: 10.1073/pnas.94.2.469.</p></li>
 +
 +
<li><p>Osada, T.; Hsu, D.; Hammond, S.; Hobeika, A.; Devi, G.; Clay, T. M. et al. (2010): Metastatic colorectal cancer cells from patients previously treated with chemotherapy are sensitive to T-cell killing mediated by CEA/CD3-bispecific T-cell-engaging BsAb antibody. In: British journal of cancer 102 (1), S. 124–133. DOI: 10.1038/sj.bjc.6605364.</p></li>
 +
 +
<li><p>Spadiut, Oliver; Capone, Simona; Krainer, Florian; Glieder, Anton; Herwig, Christoph (2014): Microbials for the production of monoclonal antibodies and antibody fragments. In: Trends in biotechnology 32 (1), S. 54–60. DOI: 10.1016/j.tibtech.2013.10.002.</p></li>
 +
 +
<li><p>Liu, Yongkang; Huang, He (2018): Expression of single-domain antibody in different systems. In: Applied microbiology and biotechnology 102 (2), S. 539–551. DOI: 10.1007/s00253-017-8644-3.</p></li>
 +
 +
<li><p>Lee, Yong Jae; Jeong, Ki Jun (2015): Challenges to production of antibodies in bacteria and yeast. In: Journal of bioscience and bioengineering 120 (5), S. 483–490. DOI: 10.1016/j.jbiosc.2015.03.009.</p></li>
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Latest revision as of 22:10, 13 December 2019

Project Inspiration and Description

How it came about: Our fascination for Antibody Engineering and Modularity

Our kick-off weekend

In order to find a project idea, our student leaders organised a kickstart week-end. It didn’t take long for the students of the special masters course in? Integrated immunology to excite the other students to face the challenges and potential immunology has to offer synthetic biologists. The Bispecific T-cell engager (BiTE) caught our fascination as a modular construct and served as inspiration for creating a similar Bispecific Antibody (BsAb). Removed of problematic components for prokaryotic expression, such as the glycolysation, it seemed ideal to be expressed in parts or as a whole .

BsAb structure and function

The BsAb, short for Bispecific Antibody, is a fusion protein composed of two antigen binding fragments coupled together via a linker. Although the sequence derives from a somatic antibody, an antigen binding fragment is a single peptide chain, called single chain variable Fragment (scFv). Thus, it is not solely connected through disulfide-bridges, as is the case with somatic antibodies (Sedykh et al. 2018). One antigen binding fragment is specific to T-cell surface structures by recruiting T-cells. Whilst the other antigen binding Fragment on the other end is specific to unwanted cells, such as cancer cells. In turn it brings T-cells bound on the other end of the BsAb in direct vicinity. In this manner BsAbs can be used to target aberrant tissues very locally, in contrast to the broad effect of chemotherapy, especially in the phase of metastasizing cancer cells.

Figure 1

: BsAbs with different linkers

We set out designing our modular BsAbs. The diagram above depicts a construct linking SpyTag and SpyCatcher. The components SpyTag and SpyCatcher are separate peptide sequences, each fusioned respectively to a scFv (single chain variable fragment) containing only one antigen binding site and forming half a BsAb each. Such subunits can be expressed in co-cultures, later linked irreversibly by an in-vitro isopeptide reaction of SpyTag with SpyCatcher. This seemed very promising for modularity.

Firstly a set of different effector subunits could be expressed with varying affinities or functions, i.e. different antigen specificities or enzymatic activity.

Secondly subunits are linked in vitro, configured to the BsAb most suited to the treatment situation.

Furthermore different expression systems could be used, with the BsAb broken down into short length sequences ideal for DNA vectors. Thereby the possible problem of producing a large, complex protein that could result in the formation of insoluble aggregates can be avoided. We therefore focused on the SpyTag/SpyCatcher linked BsAb.

Our wet-lab team decided to test three different designs inspired by the BsAb, which differ in their linker:

  1. SpyTag/SpyCatcher system linking two scFvs (single chain variable fragment)
  2. Chemical ligation of four fragments
  3. BsAb expressed as a whole unit and as standard of comparison

For the details and further literature of our design see the design page.

In the process of explaining the details of bispecific antibodies to other team members a section of our team devoted to informatics, chemistry, and computational biology saw their opportunity to implement molecular dynamic simulations and neural networks for antibody engineering. Having defined parts of the therapeutic agent it turned out that the linking component would be key to proper functioning, as it determines not only the modular potential but also stability and binding affinity of the BsAb on the whole.

Setting our project

We chose the setting of colorectal cancer to apply our ideas and achieve a comprehensive approach to fight the disease. Colorectal cancer is still the second-largest cause of cancer-related death. The major hurdles of traditional treatments are the negative side effects of the treatment and the problem of targeting and eliminating secondary tumours (Kuipers et al. 2015; Steeg 2016 and Noone A. M. et al. 2018). Bispecific antibodies, such as the Bispecific T-cell Engager (BiTE) are a promising approach to overcome these hurdles, enabling immune-cells to target colorectal cancer cells specifically (Graber K. 2014).

Figure 2

: Non recognition of tumor cells vs. BsAB in action

Our BsAb is geared against CD3 on T-lymphocytes and GPA33. GPA33 can be found on 95% of all colorectal cancer cells, thereby allowing them to be specifically targeted (Heath et al. 1997). By also binding CD3, the BsAb can bring cytotoxic T-lymphocytes (CTLs) into direct contact with the cancer cells, which activates the CTLs to release their cytotoxic granules and kill the malignant cell (Osada et al. 2010; Gruber et al. 1994).

Wet lab and Proof of Concept

Since the application of bispecific antibodies is a relatively new approach, current protocols for their production are not yet standardized. In most cases mammalian cells are used for the expression of these proteins. However, this expression system is associated with very high costs and proves to be very time-consuming. The use of the bacterial host Escherichia coli poses an alternative for the expression of recombinant protein. It is well published and provides many advantages over the expression in mammalian cells. The cultivation is far cheaper due to the higher proliferation rate and faster protein production. Despite these benefits, producing proteins of mammalian origin in E. coli has shown to be difficult since post-translational modifications are often vital to protein folding and function and cannot be replicated in these bacterial systems. Especially for complex proteins like antibodies, misfolding is often detrimental for their solubility and performance (Spadiut et al. 2014; Liu und Huang 2018; Lee und Jeong 2015). A solution however would be the periplasmic expression of recombinant protein, as this offers an oxidizing environment that is beneficial for correct protein folding, as well as a reduced number of proteases that may degrade our protein (Liu und Huang 2018; Thie et al. 2008). For this reason, we plan to use a PelB leader sequence to transport our constructs to the periplasm of E. coli for synthesis.

By using a variety of expression systems, we can determine the most efficient one for our purposes. We are going to use a pET27b plasmid with a T7 promoter and lacZ control, as well as a pACYC184 plasmid with a ptac promoter in the E. coli strains BL21, BL21 Star and Tuner. For eukaryotic expression we will use the HEK cell line.

Our intermediate steps to reach our ultimate goal of producing one modular Tag and Catcher BsAb are:

  1. Designing the sequences
  2. Transfection and Transformation of our different constructs in different prokaryotic and eukaryotic stems
  3. Expression, yield and purification
  4. First test: Western blot
  5. Linking
  6. Second test and proof of concept: cytotoxic killing essays

Due to difficulties with ethical regulations we decided to use the professional network of FAU and cooperated with Prof. Dr. Matthias Peipp to get help with the Cytotoxic Killing Assays. See Documentation on Experiments page.

With MD-simulations (molecular dynamics) of our linker sequences the stability and binding affinity of the product can be analysed. Furthermore, the use of neural networks should allow us to predict allergenicity of bispecific antibody prototypes, thus reducing costly stalemate wet-lab endeavours and thereby integrating different disciplines and rounding off our comprehensive approach.

References

  1. Sedykh, Sergey E.; Prinz, Victor V.; Buneva, Valentina N.; Nevinsky, Georgy A. (2018): Bispecific antibodies: design, therapy, perspectives. In: Drug design, development and therapy 12, S. 195–208. DOI: 10.2147/DDDT.S151282.

  2. Kuipers, Ernst J.; Grady, William M.; Lieberman, David; Seufferlein, Thomas; Sung, Joseph J.; Boelens, Petra G. et al. (2015): Colorectal cancer. In: Nature reviews. Disease primers 1, S. 15065. DOI: 10.1038/nrdp.2015.65.

  3. Noone A. M., et al.: SEER Cancer Statistics Review, 1975-2015, National Cancer Institute. National Cancer Institute. Bethesda, MD 2018.

  4. Garber K.: Bispecific antibodies rise again. Nature Reviews Drug Discovery 2014:13, 799–801

  5. Heath, J. K.; White, S. J.; Johnstone, C. N.; Catimel, B.; Simpson, R. J.; Moritz, R. L. et al. (1997): The human A33 antigen is a transmembrane glycoprotein and a novel member of the immunoglobulin superfamily. In: Proceedings of the National Academy of Sciences of the United States of America 94 (2), S. 469–474. DOI: 10.1073/pnas.94.2.469.

  6. Osada, T.; Hsu, D.; Hammond, S.; Hobeika, A.; Devi, G.; Clay, T. M. et al. (2010): Metastatic colorectal cancer cells from patients previously treated with chemotherapy are sensitive to T-cell killing mediated by CEA/CD3-bispecific T-cell-engaging BsAb antibody. In: British journal of cancer 102 (1), S. 124–133. DOI: 10.1038/sj.bjc.6605364.

  7. Spadiut, Oliver; Capone, Simona; Krainer, Florian; Glieder, Anton; Herwig, Christoph (2014): Microbials for the production of monoclonal antibodies and antibody fragments. In: Trends in biotechnology 32 (1), S. 54–60. DOI: 10.1016/j.tibtech.2013.10.002.

  8. Liu, Yongkang; Huang, He (2018): Expression of single-domain antibody in different systems. In: Applied microbiology and biotechnology 102 (2), S. 539–551. DOI: 10.1007/s00253-017-8644-3.

  9. Lee, Yong Jae; Jeong, Ki Jun (2015): Challenges to production of antibodies in bacteria and yeast. In: Journal of bioscience and bioengineering 120 (5), S. 483–490. DOI: 10.1016/j.jbiosc.2015.03.009.