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

Line 39: Line 39:
 
         <p></p>
 
         <p></p>
 
  <p>Using LUDOX CL-X as a single point reference allowed us to obtain a ratiometric conversion factor to transform absorbance data into a standard OD600 measurement. This is crucial to ensure that plate reader measurements are not volume dependent. After this calibration part we obtained a radiometric conversion factor (Table 2) which will be used in further Interlab study measurements.</p> <p></p> <p></p> <p></p> <p></p> <p></p> <p></p>
 
  <p>Using LUDOX CL-X as a single point reference allowed us to obtain a ratiometric conversion factor to transform absorbance data into a standard OD600 measurement. This is crucial to ensure that plate reader measurements are not volume dependent. After this calibration part we obtained a radiometric conversion factor (Table 2) which will be used in further Interlab study measurements.</p> <p></p> <p></p> <p></p> <p></p> <p></p> <p></p>
        <p>The framework also includes a possibility of adding a selection system that reduces the usage of antibiotics
+
     
            (only 1 antibiotic for up to 5 different plasmids!) and an active partitioning system to make sure that low
+
            copy number plasmid groups are not lost during the division.
+
        </p>
+
        <p></p>
+
        <div class="img-cont">
+
            <img src="https://static.igem.org/mediawiki/parts/8/84/Collect.png" alt="img">
+
            <div class="img-label">
+
            </div>
+
        </div>
+
        <h2>Applications</h2>
+
        <p>
+
            <h5>Everyday lab work</h5>
+
            <p>
+
                A multi-plasmid system that is easy to assemble and control. With our framework the need to limit your
+
                research to a particular plasmid copy number just because there are not enough right replicons to
+
                choose from, is eliminated. With SynORI you can easily create a vector with a desired copy number that
+
                suits your needs.</li>
+
            </p>
+
            <h5>Biological computing</h5>
+
            <p>
+
                The ability to choose a wide range of copy number options and their control types will make the
+
                synthetic biology engineering much more flexible and predictable. Introduction of plasmid copy number
+
                regulation is equivalent to adding a global parameter to a computer system. It enables the coordination
+
                of multiple gene group expression.
+
            </p>
+
            <h5>Smart assembly of large protein complexes</h5>
+
            <p>
+
                The co-expression of multi-subunit complexes using different replicons brings incoherency to an already
+
                chaotic cell system. This can be avoided by using SynORI, as in this framework every plasmid group uses
+
                the same type of control, and in addition can act in a group-specific manner.</p>
+
 
+
            <h5>Metabolic engineering</h5>
+
            <p>
+
                A big challenge for heterologous expression of multiple gene pathways is to accurately adjust the
+
                levels of each enzyme to achieve optimal production efficiency. Precise promoter tuning in
+
                transcriptional control and synthetic ribosome binding sites in translational control are already
+
                widely used to maintain expression levels. In addition to current approaches, our framework allows a
+
                simultaneous multiple gene control. Furthermore, an inducible regulation that we offer, can make the
+
                search for perfect conditions a lot easier.
+
 
+
 
+
 
+
            </p>
+
 
+
 
+
        </p>
+
        <p>
+
        </p>
+
        <table style="width:100%">
+
<thead>
+
<td align='center'>Species sign in ODE system</td>
+
<td align='center'>Species</td>
+
<td align='center'>Initial concentration (M)</td>
+
</thead>
+
<tbody>
+
<tr>
+
<td align='center'>A</td>
+
<td align='center'>pDNA+RNA I+RNAII early</td>
+
<td align='center'>0</td>
+
</tr>
+
<tr>
+
<td align='center'>B</td>
+
<td align='center'>pDNA+RNA II short</td>
+
<td align='center'>0</td>
+
</tr>
+
<tr>
+
<td align='center'>RNAI</td>
+
<td align='center'>RNA I</td>
+
<td align='center'>1E-6</td>
+
</tr>
+
<tr>
+
<td align='center'>D</td>
+
<td align='center'>pDNA+RNA II long</td>
+
<td align='center'>0</td>
+
</tr>
+
<tr>
+
<td align='center'>E</td>
+
<td align='center'>pDNA+RNAII primer</td>
+
<td align='center'>0</td>
+
</tr>
+
<tr>
+
<td align='center'>F</td>
+
<td align='center'>RNA II long</td>
+
<td align='center'>0</td>
+
</tr>
+
<tr>
+
<td align='center'>G</td>
+
<td align='center'>pDNA</td>
+
<td align='center'>4E-8*</td>
+
</tr>
+
<tr>
+
<td align='center'>H</td>
+
<td align='center'>pDNA+RNA II+RNA I late</td>
+
<td align='center'>0</td>
+
</tr>
+
<tr>
+
<td align='center'>RNA II</td>
+
<td align='center'>RNA II</td>
+
<td align='center'>0</td>
+
</tr>
+
<tr>
+
<td align='center'>J</td>
+
<td align='center'>RNAI+RNAII</td>
+
<td align='center'>0</td>
+
</tr>
+
 
</tbody>
 
</tbody>
 
</table>
 
</table>

Revision as of 21:15, 16 October 2018

InterLab

Abstract

The goal of this year’s InterLab Study was to identify and minimize the sources of systematic variability in fluorescence measurements by normalizing to absolute cell count or colony-forming units (CFUs) instead of optical density (OD).

Participating in the fifth iGEM InterLab Study was a great opportunity to start this year’s competition as well as acquire some valuable knowledge which we implemented into practice during the project.

invert