Difference between revisions of "Team:Hong Kong HKU/Proof"

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#sideMenu
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<h3>★  ALERT! </h3>
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#top_title
<p>This page is used by the judges to evaluate your team for the <a href="https://2016.igem.org/Judging/Medals">gold medal criterion for proof of concept</a>. </p>
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<p> Delete this box in order to be evaluated for this medal. See more information at <a href="https://2016.igem.org/Judging/Pages_for_Awards/Instructions"> Instructions for Pages for awards</a>.</p>
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iGEM teams are great at making things work! We value teams not only doing an incredible job with theoretical models and experiments, but also in taking the first steps to make their project real.  
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<h4> What should we do for our proof of concept? </h4>
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You can assemble a device from BioBricks and show it works. You could build some equipment if you're competing for the hardware award. You can create a working model of your software for the software award. Please note that this not an exhaustive list of activities you can do to fulfill the gold medal criterion. As always, your aim is to impress the judges!
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<div class="container" align="center">
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    <h2>Proof</h2>
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    <ul class="nav nav-pills">
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      <li><a href="https://2016.igem.org/Team:Hong_Kong_HKU/Parts#Parts">Parts</a></li>
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      <li><a data-toggle="pill" href="https://2016.igem.org/Team:Hong_Kong_HKU/Parts#Achievements">Achievements</a></li>
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      <li><a href="https://2016.igem.org/Team:Hong_Kong_HKU/Results">Results</a></li>
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      <li><a href="https://2016.igem.org/Team:Hong_Kong_HKU/Demonstrate">Demonstrate our work</a></li>
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      <li class="active"><a data-toggle="pill" href="#">Proof of Concept</a></li>
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    </ul>
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    <div class="tab-content">
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      <div id="inspiration" class="tab-pane fade in active">
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    <p class="text-justify" align="left"><font size="3">
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        <br>
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        We used DNA to test our probe in the beginning due to two main considerations - price and stability. 
 +
        RNA is a lot more expensive than DNA strands, and at the same time, RNA degrades much more rapidly upon exposure to the environment in the presence of RNA nucleases.<br><br>
 +
        We first used DNA inputs to prove our nanostructure being functional and to optimise our testing methods.<br><br>
 +
        We took special precautions and methods when we did experiments for concept proof with RNA strands
 +
        e.g. use of fume cupboards and DEPC-treated water.<br><br>
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        </font>
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        <font size="4"><b>PAGE for strand displacement</b></font><br><br>
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        <font size="3">
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        We replicated the same protocol with replacement of DNA input and mutant input by RNA versions.  
 +
        The sequences of the 2 sets of input and mutant input were the same.<br><br>
 +
        </font></p>
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        <table class="table">
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        <thead>
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            <tr>
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                <th>Input</th>
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                    <th>Sequence</th>
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                    <th>Length (nt)</th>
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                </tr>
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            </thead>
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            <tbody>
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            <tr>
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                <td>RNA Input</td>
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                    <td>CAAUCAGGGUCUAACUCCACUGGGUGCCAU</td>
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                    <td>30</td>
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                </tr>
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            <tr>
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                <td>Random RNA</td>
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                    <td>CAGGCAGUAUCAUGCGACAUUGGGUGCAGC</td>
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                    <td>30</td>
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                </tr>
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            </tbody>
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        </table>
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        <br>
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        <img class="img-responsive center-block" src="https://static.igem.org/mediawiki/2016/6/61/T--Hong_Kong_HKU--Proof1.jpg" alt="" width="400px" height="auto">
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        <br>
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        <img class="img-responsive center-block" src="https://static.igem.org/mediawiki/2016/0/06/T--Hong_Kong_HKU--Proof2.jpg" alt="" width="400px" height="auto">
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        <br>
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        <p class="text-justify" align="left">
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        <font size="3">
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        12% acrylamide gels showing the strand displacement effect with the correct and random inputs - RNA (left) and DNA (right)<br><br>
 +
       
 +
        With the comparisons above, clearly strand displacement was successful with RNA inputs.<br><br>
 +
        </font>
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        <font size="4"><b>ABTS Assay for G-quadruplex formation</b></font><br><br>
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        <font size="3">
 +
        After showing that our DNA nanostructures can detect our target DNA, we went further to detect RNA.
 +
        This test aimed to simulate the detection of serum miRNA, which has great potential in disease diagnosis as miRNA are promising disease biomarkers.
 +
        The same sequence of RNA input as on the above was used in the assay.<br><br>
 +
        First, we used our simplified DNA nanostructure (formed from the G-quadruplex side of O1 and O5 of the tetrahedron, 
 +
        which is the essential part of the 3D tetrahedral nanostructure) to detect RNA input.  
 +
        Equimolar (100nM final) DNA nanostructure and RNA input were added in the assay.
 +
        The following bar chart shows the absorbance after the addition of different inputs.<br><br>
 +
        </font></p>
 +
        <img class="img-responsive center-block" src="https://static.igem.org/mediawiki/2016/5/59/T--Hong_Kong_HKU--O1O5RNAmutant.png" alt="" width="800px" height="auto">
 +
        <p class="text-justify" align="left">
 +
        <font size="3">
 +
        Absorbance at 420nm after the addition of different inputs to the simplified DNA nanostructure (formed from O1's G-quadruplex side and O5 of the tetrahedron) which is termed as  "beacon"  in the above graph.
 +
        The absorbance was taken 15 minutes after the addition of ABTS and H<sub>2</sub>O<sub>2</sub>.
 +
        Error bars show standard deviation from triplicates.<br><br>
 +
        Then, we repeated the experiment using our tetrahedral DNA nanostructure, which gave the following result.<br><br>
 +
        </font></p>
 +
        <img class="img-responsive center-block" src="https://static.igem.org/mediawiki/2016/7/7f/T--Hong_Kong_HKU--TetraRNAmutant.png" alt="" width="800px" height="auto">
 +
        <p class="text-justify" align="left">
 +
        <font size="3">
 +
        Absorbance at 420nm after the addition of different inputs to the tetrahedral DNA nanostructure.
 +
        The absorbance was taken 15 minutes after the addition of ABTS and H<sub>2</sub>O<sub>2</sub>.
 +
        Error bars show standard deviation from triplicates.<br><br>
 +
        From the above two graphs, it is clear that the addition of RNA input resulted in a higher absorbance than that without the addition of RNA input, whereas the addition of a random RNA sequence did not lead to a higher absorbance.  
 +
        Hence, we have successfully demonstrated that our design can distinguish the correct input (DNA or RNA) from random sequences. <br><br>
 +
        Our DNA nanostructures can potentially be utilized as a simple diagnostic tool, where a higher absorbance in ABTS assay suggests the presence of our desired DNA or RNA target.
 +
        We can easily expand the application to detect other DNA or RNA sequences by modifying the sequence of two strands at the detecting edge of the DNA nanostructure.<br><br>
 +
        </font></p>
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      </div>
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Latest revision as of 14:32, 25 November 2016

Proof


We used DNA to test our probe in the beginning due to two main considerations - price and stability. RNA is a lot more expensive than DNA strands, and at the same time, RNA degrades much more rapidly upon exposure to the environment in the presence of RNA nucleases.

We first used DNA inputs to prove our nanostructure being functional and to optimise our testing methods.

We took special precautions and methods when we did experiments for concept proof with RNA strands e.g. use of fume cupboards and DEPC-treated water.

PAGE for strand displacement

We replicated the same protocol with replacement of DNA input and mutant input by RNA versions. The sequences of the 2 sets of input and mutant input were the same.

Input Sequence Length (nt)
RNA Input CAAUCAGGGUCUAACUCCACUGGGUGCCAU 30
Random RNA CAGGCAGUAUCAUGCGACAUUGGGUGCAGC 30



12% acrylamide gels showing the strand displacement effect with the correct and random inputs - RNA (left) and DNA (right)

With the comparisons above, clearly strand displacement was successful with RNA inputs.

ABTS Assay for G-quadruplex formation

After showing that our DNA nanostructures can detect our target DNA, we went further to detect RNA. This test aimed to simulate the detection of serum miRNA, which has great potential in disease diagnosis as miRNA are promising disease biomarkers. The same sequence of RNA input as on the above was used in the assay.

First, we used our simplified DNA nanostructure (formed from the G-quadruplex side of O1 and O5 of the tetrahedron, which is the essential part of the 3D tetrahedral nanostructure) to detect RNA input. Equimolar (100nM final) DNA nanostructure and RNA input were added in the assay. The following bar chart shows the absorbance after the addition of different inputs.

Absorbance at 420nm after the addition of different inputs to the simplified DNA nanostructure (formed from O1's G-quadruplex side and O5 of the tetrahedron) which is termed as "beacon" in the above graph. The absorbance was taken 15 minutes after the addition of ABTS and H2O2. Error bars show standard deviation from triplicates.

Then, we repeated the experiment using our tetrahedral DNA nanostructure, which gave the following result.

Absorbance at 420nm after the addition of different inputs to the tetrahedral DNA nanostructure. The absorbance was taken 15 minutes after the addition of ABTS and H2O2. Error bars show standard deviation from triplicates.

From the above two graphs, it is clear that the addition of RNA input resulted in a higher absorbance than that without the addition of RNA input, whereas the addition of a random RNA sequence did not lead to a higher absorbance. Hence, we have successfully demonstrated that our design can distinguish the correct input (DNA or RNA) from random sequences.

Our DNA nanostructures can potentially be utilized as a simple diagnostic tool, where a higher absorbance in ABTS assay suggests the presence of our desired DNA or RNA target. We can easily expand the application to detect other DNA or RNA sequences by modifying the sequence of two strands at the detecting edge of the DNA nanostructure.


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