Difference between revisions of "Team:Bielefeld-CeBiTec/Proof"

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<div class="container text_header"><h1>Proof of Concept</h1></div>
 
<div class="container text_header"><h1>Proof of Concept</h1></div>
 
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We developed a novel system for generating binding proteins in <i>E. coli</i> via directed evolution. The concept of our system subdivides into a <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library">library</a>, a system for <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Mutation">mutagenesis</a> and a <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Selection">selection</a> system: <br>
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We developed a novel <i>in vivo</i> system for generating binding proteins in <i>E. coli</i> via directed evolution. The concept of our system subdivides into a <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library">library</a> for initial diversity, a system for <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Mutation">mutagenesis</a> to further increase the diversity and a <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Selection">selection</a> system to identify high affinity binding proteins. <br>
 
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<div class="container text_header"><h3>Library</h3></div>
 
<div class="container text_header"><h3>Library</h3></div>
 
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At first, we <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/Design"> designed and created a library</a> of random binding protein sequences in <i>E. coli</i> to form the starting point of our project. We reached a library size of over one hundred thousand of each, <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/Scaffolds">Monobodies</a> and <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/Scaffolds">Nanobodies</a>. We verified our library by <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Library/Phage"> finding multiple potential binders against diverse targets </a> and further by<a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Library/Sequencing"> sequencing the library</a> with different techniques. By that, we created a great foundation for our following directed evolution and an unprecedented <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Part_Collection">part collection</a> for all other iGEM teams, who want to <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/CreateYours">build their own library</a>. <br>
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At first, we <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/Design"> designed and created two libraries</a> of partly random binding protein sequences in <i>E. coli</i> based on <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/Scaffolds">Monobodies</a> and <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/Scaffolds">Nanobodies</a>, respectively. Each library reached a size of over one hundred thousand clones posing a solid start point of our system. High diversity of the library was confirmed by stade-of-the-art high-throughput <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Library/Sequencing"> sequencing</a>. Applicability of our library was confirmed by <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Library/Phage"> finding multiple potential binders against diverse targets</a>. This library poses a valuable resource for our following directed evolution. Moreover, we provide an unprecedented <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Part_Collection">part collection</a> to the whole iGEM community <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/CreateYours">enabling the application of libraries in future projects</a>.
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<div class="container text_header"><h3>Mutagenesis</h3></div>
 
<div class="container text_header"><h3>Mutagenesis</h3></div>
 
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Furthermore, we used an <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Mutation/EpPolI">error prone polymerase I</a> by which we introduced  <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Mutation/Global">mutations</a> in the coding regions for our binding proteins. By this, we created an even greater variety of different Mono- or Nanobodies. We verified the functionality by various <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Mutation/Reversion">reversion experiments</a> to show that our error prone polymerase is working correctly. Moreover, we examined the precise mutation rate and positions by <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Mutation/Sequencing">Miseq sequencing</a>. This <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Basic_Part">working mutation system</a> can be used by future iGEM teams for various applications. <br>
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Furthermore, we used an <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Mutation/EpPolI">error prone polymerase I</a>for targeted <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Mutation/Global">mutagenesis</a> of the binding protein encoding plasmid. This system is well suited for the diversification of initial binding proteins derived from our library. This mutagenesis system was functionally characterized by various <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Mutation/Reversion">reversion experiments</a>. Precise mutation rate and mutation types were analyzed via high-throuput <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Mutation/Sequencing">sequencing</a>. In contrast to genome-wide mutation system, <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Basic_Part">our system</a> is especially useful to future iGEM projects to apply mutagenesis of BioBricks within the standard plasmid.<br>
 
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<div class="container text_header"><h3>Selection system</h3></div>
 
<div class="container text_header"><h3>Selection system</h3></div>
 
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Last but not least, we used a <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Selection/Bacterial_Two-Hybrid_System">bacterial two hybrid system</a> to give cells with fitting binding proteins to the target protein an advantage in growth by developing an antibiotic resistance. To proof that our selection system is working, we executed several experiments, ranging from <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection/ExpressionControl">expression controls</a> over <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection/BindingControl">binding controls</a> to <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection/InteractionControl">interaction controls</a> and <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection/KnockOutKnochIn"><i>in vivo</i></a> tests. With this, we <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Composite_Part">provide a functional bacterial two hybrid system</a> for other iGEM teams to work with.<br><br>
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Finally, we used a <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Selection/Bacterial_Two-Hybrid_System"> bacterial two hybrid system</a> to give cells with fitting binding proteins to the target protein an advantage in growth by developing an antibiotic resistance. Functionality of this system was demonstrated by several experiments, ranging <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection/ExpressionControl">expression controls</a> over <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection/BindingControl">binding controls</a> to <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection/InteractionControl">interaction controls</a> and <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection/KnockOutKnochIn"><i>in vivo</i></a> tests. In summary, we <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Composite_Part">provide a functional bacterial two hybrid system</a> for other iGEM teams to work with.br><br>
 
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In a nutshell, we have proven that all parts of our project <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results">work as expected</a> by various control experiments and made it iteratively even better by <a href=https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Modeling">modeling</a> our system, integrating <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Integrated_Practices">experts and public reviews</a> and also <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Fermentation">fermentation</a>.<br> In particular, we have reached all of our following three milestones: We designed and created two functional <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Library/Overview">libraries</a> with high diversities, we assembled a working <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Mutation">mutation</a> system and we implemented a functional bacterial two hybrid <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection">selection</a> system.
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In a nutshell, we provide evidence that all devices of our project <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results">work as expected</a>. Moreover, we made it iteratively even better by <a href=https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Modeling">modeling</a> our system, integrating <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Integrated_Practices">experts and public reviews</a>. Industry scale applicability was indicated by continuous <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Fermentation">fermentation</a> experiments and a business plan.<br>
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In particular, we reached all of our milestones: <b>(1)</b> We designed and created two functional <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Library/Overview">libraries</a> with high diversities, <b>(2)</b> we assembled a working system for plasmid-targeted <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Mutation">mutagenesis</a> and <b>(3)</b> we implemented a functional bacterial two hybrid <a href="https://2016.igem.org/Team:Bielefeld-CeBiTec/Results/Selection">selection</a> system. </div>
  
 
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Revision as of 01:14, 20 October 2016



Proof of Concept

Life is like a mirror - we get the best results when we smile at it

Proof of Concept

We developed a novel in vivo system for generating binding proteins in E. coli via directed evolution. The concept of our system subdivides into a library for initial diversity, a system for mutagenesis to further increase the diversity and a selection system to identify high affinity binding proteins.

Library

At first, we designed and created two libraries of partly random binding protein sequences in E. coli based on Monobodies and Nanobodies, respectively. Each library reached a size of over one hundred thousand clones posing a solid start point of our system. High diversity of the library was confirmed by stade-of-the-art high-throughput sequencing. Applicability of our library was confirmed by finding multiple potential binders against diverse targets. This library poses a valuable resource for our following directed evolution. Moreover, we provide an unprecedented part collection to the whole iGEM community enabling the application of libraries in future projects.

Mutagenesis

Furthermore, we used an error prone polymerase Ifor targeted mutagenesis of the binding protein encoding plasmid. This system is well suited for the diversification of initial binding proteins derived from our library. This mutagenesis system was functionally characterized by various reversion experiments. Precise mutation rate and mutation types were analyzed via high-throuput sequencing. In contrast to genome-wide mutation system, our system is especially useful to future iGEM projects to apply mutagenesis of BioBricks within the standard plasmid.

Selection system

Finally, we used a bacterial two hybrid system to give cells with fitting binding proteins to the target protein an advantage in growth by developing an antibiotic resistance. Functionality of this system was demonstrated by several experiments, ranging expression controls over binding controls to interaction controls and in vivo tests. In summary, we provide a functional bacterial two hybrid system for other iGEM teams to work with.br>

In a nutshell, we provide evidence that all devices of our project work as expected. Moreover, we made it iteratively even better by modeling our system, integrating experts and public reviews. Industry scale applicability was indicated by continuous fermentation experiments and a business plan.
In particular, we reached all of our milestones: (1) We designed and created two functional libraries with high diversities, (2) we assembled a working system for plasmid-targeted mutagenesis and (3) we implemented a functional bacterial two hybrid selection system.