Difference between revisions of "Team:Vilnius-Lithuania/Attributions"

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        <p>The SynORI framework enables scientists to build a multi-plasmid system in a standardized manner by:</p>
 
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        <ol>
 
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            <li>Selecting the number of plasmid groups</li>
 
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            <li>Choosing the copy number of each group</li>
 
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            <li>Picking the type of copy number control (specific to one group or regulating all of them at once).</li>
 
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        </ol>
 
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        </p>
 
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        <p></p>
 
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        <p>The framework also includes a possibility of adding a selection system that reduces the usage of antibiotics
 
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            (only 1 antibiotic for up to 5 different plasmids!) and an active partitioning system to make sure that low
 
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            copy number plasmid groups are not lost during the division.
 
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        </p>
 
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        <p></p>
 
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        <div class="img-cont">
 
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            <img src="https://static.igem.org/mediawiki/parts/8/84/Collect.png" alt="img">
 
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            </div>
 
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        </div>
 
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        <h2>Applications</h2>
 
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        <p>
 
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            <h5>Everyday lab work</h5>
 
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            <p>
 
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                A multi-plasmid system that is easy to assemble and control. With our framework the need to limit your
 
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                research to a particular plasmid copy number just because there are not enough right replicons to
 
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                choose from, is eliminated. With SynORI you can easily create a vector with a desired copy number that
 
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                suits your needs.</li>
 
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            </p>
 
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            <h5>Biological computing</h5>
 
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            <p>
 
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                The ability to choose a wide range of copy number options and their control types will make the
 
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                synthetic biology engineering much more flexible and predictable. Introduction of plasmid copy number
 
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                regulation is equivalent to adding a global parameter to a computer system. It enables the coordination
 
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                of multiple gene group expression.
 
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            </p>
 
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            <h5>Smart assembly of large protein complexes</h5>
 
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            <p>
 
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                The co-expression of multi-subunit complexes using different replicons brings incoherency to an already
 
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                chaotic cell system. This can be avoided by using SynORI, as in this framework every plasmid group uses
 
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                the same type of control, and in addition can act in a group-specific manner.</p>
 
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            <h5>Metabolic engineering</h5>
 
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            <p>
 
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                A big challenge for heterologous expression of multiple gene pathways is to accurately adjust the
 
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                levels of each enzyme to achieve optimal production efficiency. Precise promoter tuning in
 
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                transcriptional control and synthetic ribosome binding sites in translational control are already
 
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                widely used to maintain expression levels. In addition to current approaches, our framework allows a
 
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                simultaneous multiple gene control. Furthermore, an inducible regulation that we offer, can make the
 
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                search for perfect conditions a lot easier.
 
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            </p>
 
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        </p>
 
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        <p>
 
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        </p>
 
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        <table style="width:100%">
 
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<thead>
 
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<td align='center'>Species sign in ODE system</td>
 
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<td align='center'>Species</td>
 
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<td align='center'>Initial concentration (M)</td>
 
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</thead>
 
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<tbody>
 
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<tr>
 
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<td align='center'>A</td>
 
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<td align='center'>pDNA+RNA I+RNAII early</td>
 
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<td align='center'>0</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>B</td>
 
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<td align='center'>pDNA+RNA II short</td>
 
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<td align='center'>0</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>RNAI</td>
 
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<td align='center'>RNA I</td>
 
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<td align='center'>1E-6</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>D</td>
 
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<td align='center'>pDNA+RNA II long</td>
 
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<td align='center'>0</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>E</td>
 
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<td align='center'>pDNA+RNAII primer</td>
 
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<td align='center'>0</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>F</td>
 
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<td align='center'>RNA II long</td>
 
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<td align='center'>0</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>G</td>
 
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<td align='center'>pDNA</td>
 
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<td align='center'>4E-8*</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>H</td>
 
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<td align='center'>pDNA+RNA II+RNA I late</td>
 
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<td align='center'>0</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>RNA II</td>
 
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<td align='center'>RNA II</td>
 
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<td align='center'>0</td>
 
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</tr>
 
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<tr>
 
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<td align='center'>J</td>
 
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<td align='center'>RNAI+RNAII</td>
 
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<td align='center'>0</td>
 
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</tr>
 
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</tbody>
 
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</table>
 
 
     </div>
 
     </div>
 
</div>
 
</div>

Revision as of 19:29, 16 October 2018

Attributions

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Cell-free systems are becoming an increasingly popular in vitro tool to study biological processes as it is accompanied by less intrinsic and extrinsic noise. Relying on fundamental concepts of synthetic biology, we apply a bottom-up forward engineering approach to create a novel cell-free system for unorthodox protein-evolution. The core of this system is cell-sized liposomes that serve as excellent artificial membrane models. By encapsulating genetic material and full in vitro protein transcription and translation systems within the liposomes, we create reliable and incredibly efficient nanofactories for the production of target proteins. Even though there are many alternative proteins that can be synthesized, our main focus is directed towards membrane proteins, which occupy approximately one third of living-cells’ genomes. Considering their significance, membrane proteins are spectacularly understudied since synthesis and thus characterization of them remain prevailing obstacles to this day. We aim to utilize liposomes as nanofactories for directed evolution of membrane proteins. Furthermore, by means of directed membrane protein-evolution, a universal exposition system will be designed in order to display any protein of interest on the surface of the liposome. This way, a system is built where a phenotype of a particular protein is expressed on the outside while containing its genotype within the liposome. To prove the concept, small antibody fragments will be displayed to create a single-chain variable fragment (scFv) library for rapid screening of any designated target.

Special Thanks

Dr. Linas Mažutis

Sector of Microtechnologies

Even though Dr. Mažutis was mostly working abroad, he never hesitated to find extra time for an internet call and give some fundamental advice in the field of microfluidics. The opportunity to work in the microfluidics’ laboratory was also invaluable for building our project.

Dr. Gintaras Valinčius

Department of Bioelectrochemistry and Biospectroscopy

Dr. Gintaras Valinčius was always optimistic about our team and was always curious about the current state of our project. Despite Dr. Valinčius busy schedule, he was always willing to help in any way he could. His expertise in membrane science was particularly helpful.

Professor Edita Sužiedėlienė

Department of Biochemistry and Molecular Biology

Prof. Edita Sužiedėlienė’s support has been invaluable to Lithuanian iGEM teams since the establishment of the first team back in 2015. She has been kind enough to let us use her lab regularly and was patient about missing equipment after intensive work routines.

Tadas Penkauskas

Department of Bioelectrochemistry and Biospectroscopy

Tadas Penkauskas’ experience in membrane-based science and willingness to help with any matter related to lipids and membranes always helped us move further. Additionally, Tadas’ bulk-synthesized liposomes were a powerful tool to test our membrane proteins in higher throughput, while our method was still being developed.

Aistė Skrebytė

Head of Rector’s Office at Vilnius University

Aistė Skrebytė was the person at the Vilnius University Rector’s office that we could rely on. She helped our team with financial questions - team’s registration, Giant Jamboree-fee payments, and many others. She was always there for our team and tried to find best solutions to our organizational difficulties including our trip to Boston and general PR strategy.

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