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− | <h1 class="default-padding">Collaborations</h1> | + | <head> |
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− | <h2>Improving on DNA Quantification Through Standardizing EtBr Protocol</h2> | + | <body> |
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− | <p>
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− | Last year, our project involved diluting 1 uL of DNA at varying concentrations in 10 uL EtBr and fluorescing the spot of diluted EtBr using a UV lamp. Afterwards, we photographed the spots and using ImageJ, an imaging program that ___, we corresponded each spot to a pixel intensity. From there we created a standard curve using known concentrations of DNA – which we can then use to approximate how much DNA there is in a sample of an unknown concentration – based on its pixel intensity.
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− | Which takes us to…
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− | This year! We asked several teams to make dilutions of DNA – 1 uL of DNA of an unknown concentration into 9 uL EtBr (1 ng/uL), hit the samples with UV light, and send the images to us. We will compare the pixel intensity of the sample with a known DNA concentration to the predicted pixel intensity based on our standard curve from last year. We hope to see how accurate our standard curve is, with the more samples the better. Special thanks to teams <font size="+1"> <b>HD Resolution</b></font> in NYC, USA and <font size="+1"><b>Tec de Monterrey</b></font> in Guadalajara, Mexico! </p>
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− | <h3>How is DNA Quantified?</h3> | + | <button onclick="topFunction()" id="scrollToTop" title="Go to top">Top</button> |
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− | <p>DNA can be quantified through gel electrophoresis, a process that separates proteins in a sample by charge and molecular weight - with the lighter proteins traveling further down a gel and the heavier ones staying on the top. Since DNA is negatively charged, the more nucleotides in a sample (meaning the more DNA) the slower it will migrate to the end of the gel. These proteins are seen as bands on the gel - however, to truly visualize them the gel must be dyed with an agent such as EtBr.</p>
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− | <h3>How does EtBr Work?</h3> | + | <h1 class="title-padding">Collaborations</h1> |
− | <br>
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− | <p>Ethidium Bromide is an intercalating agent - this means that it inserts itself between the nucleotides of a nucleic acid such as DNA or RNA. It has been shown that the amount of EtBr intercalating throughout a sample corresponds to its concentration.
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− | <br><br>
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− | Once the agarose gel is stained with etBr, it is run and imaged. During imaging, the gel is hit with UV light to visualize the bands. Fluorescence occurs because EtBr is an aromatic compounds, meaning it contains many double bonds. When EtBr is hit with UV light, these double bonds absorb energy from the visible light at a certain wavelength and reflect light at others. The orange color we commonly associate with EtBr is the result of reflected light of a particular wavelength.</p>
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− | <br>
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− | <!--<center><img src ="https://upload.wikimedia.org/wikipedia/commons/thumb/9/9d/EtBr2.JPG/800px-EtBr2.JPG" alt="Ethidium Bromide" width="350"><center>-->
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− | <br>
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− | <p><center>Ethidium Bromide</center></p>
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− | <br>
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− | <h2>Predicting Collateral Cleavage Activity of Cas13a</h2> | + | <h2 class="default-padding">Data Collection for the EtBr Spot Protocol</h2> |
− | <br>
| + | <p class="low-rise-padding">We want our standard curve to be able to predict concentrations from varying levels of pixel intensity. In order to do so, we needed a larger and more diverse dataset. So we asked iGEM teams to perform the following task: dilute 1 uL of DNA of an unknown concentration into 9 uL EtBr (1 ng/uL), photograph the samples under UV light, and send us the images. Using ImageJ®, we compared the pixel intensity of the sample with a known DNA concentration to the predicted pixel intensity based on our standard curve. Special thanks to <b>HD Resolution</b> from the US and <b>Tec de Monterrey_Gdl</b> from Mexico! </p> |
− | <p> This year, we collaborated with the <font size="+1"><b>Columbia University iGEM Team</b></font> to help them model the collateral cleavage activity of Cas13a, an enzyme used to cleave RNA in CRISPR technology. Our team provided the system of equations and resulting graphs.</p> | + | |
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− | <h3>What is a CRISPR?</h3> | + | <center><img src ="https://static.igem.org/mediawiki/2018/2/2e/T--CUNY_Kingsborough--etbrpic1.png" width="500"><center> |
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− | <p>CRISPRs, or Clustered Regularly Interspaced Short Palindromic Repeats, are DNA sequences commonly found in bacteria and archaea that serve as a defense mechanism. They originate from pathogens that previously infected the host are are used to detect said pathogens when they try to re-infect the host.</p>
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− | <h3>A Nuclease Defends - Its Mechanism of Action</h2> | + | <hr> |
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− | <p>When pathogens that have previously infected the host try to re-invade, host nucleases use CRISPR sequences to detect the RNA sequences of the pathogen. A nuclease is an enzyme the cleaves nucleic acids in DNA or RNA. In CRISPR derived technology, the nuclease is lead by a guid RNA (gRNA) - a sequence of nucleotides complementary to a target strand area - to the CRISPR originating from the pathogen, and cleaves it. Here, Cas13a is the nuclease.</p>
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− | <!--<center><img src="https://upload.wikimedia.org/wikipedia/commons/7/71/201412_CRISPRCAS9blue.png" width="350"><center>-->
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− | <center>Cas9, a nuclease, cleaving RNA in CRISPR technology</center>
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− | <br>
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− | <h4>Citations</h4> | + | <h2 class="default-padding">Predicting Collateral Cleavage Activity of Cas13a</h2> |
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− | <div class="column full_size"> | + | <center> |
− | <h1>Collaborations</h1> | + | <figure> |
| + | <img src="https://static.igem.org/mediawiki/2018/e/e8/T--CUNY_Kingsborough--iGEMCRISPRCas9.jpg" width="300"> |
| + | <figcaption> |
| + | <small>Cas9 - a cleaving RNA in CRISPR technology</small> |
| + | </figcaption> |
| + | </figure> |
| + | </center> |
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− | <p> | + | <p class="low-rise-padding">We collaborated with the <b>Columbia University iGEM Team</b> to help them model the collateral cleavage activity of Cas13a, an enzyme used to cleave RNA in CRISPR technology. Our team provided the base system of equations and simulated the equations. <a id="bodyLink" href="https://2018.igem.org/Team:CUNY_Kingsborough/CRISPR-Cas13a">See the details here.</a></p> |
− | Sharing and collaboration are core values of iGEM. We encourage you to reach out and work with other teams on difficult problems that you can more easily solve together.
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− | </p> | + | |
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− | <h3>Silver Medal Criterion #2</h3> | + | <hr> |
− | <p>
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− | Complete this page if you intend to compete for the silver medal criterion #2 on collaboration. Please see the <a href="https://2018.igem.org/Judging/Medals">2018 Medals Page</a> for more information.
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− | </p>
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− | </div>
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− | <div class="column two_thirds_size"> | + | <h2 class="default-padding">Exchanging Ideas</h2> |
| + | <p class="low-rise-padding"> Thanks to the <b>HD Resolution Team</b> in NYC, USA, we collaborated to host an event to present our projects to each other. They learned about the EtBr Spot Protocol and the light operon and we learned about their goal to cure Huntington's Disease. It was a great experience!</p> |
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− | <h4> Which other teams can we work with? </h4> | + | <center> |
− | <p> | + | <figure> |
− | You can work with any other team in the competition, including software, hardware, high school and other tracks. You can also work with non-iGEM research groups, but they do not count towards the iGEM team collaboration silver medal criterion.
| + | <img src="https://static.igem.org/mediawiki/2018/thumb/9/9e/T--CUNY_Kingsborough--iGEMHDResolutionAll.jpg/1200px-T--CUNY_Kingsborough--iGEMHDResolutionAll.jpg" width="500"> |
− | </p> | + | <figcaption> |
| + | <small>Credits to Team HD Resolution</small> |
| + | </figcaption> |
| + | </center> |
| + | </figure> |
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− | <p>
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− | In order to meet the silver medal criteria on helping another team, you must complete this page and detail the nature of your collaboration with another iGEM team.
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− | </p> | + | |
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− | </div>
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− | <div class="column third_size">
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− | <p>
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− | Here are some suggestions for projects you could work on with other teams:
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− | </p>
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− | <ul>
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− | <li> Improve the function of another team's BioBrick Part or Device</li>
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− | <li> Characterize another team's part </li>
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− | <li> Debug a construct </li>
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− | <li> Model or simulate another team's system </li>
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− | <li> Test another team's software</li>
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− | <li> Help build and test another team's hardware project</li>
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− | <li> Mentor a high-school team</li>
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− | </ul>
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− | </div>
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| + | <br><br> |
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| </html> | | </html> |
We want our standard curve to be able to predict concentrations from varying levels of pixel intensity. In order to do so, we needed a larger and more diverse dataset. So we asked iGEM teams to perform the following task: dilute 1 uL of DNA of an unknown concentration into 9 uL EtBr (1 ng/uL), photograph the samples under UV light, and send us the images. Using ImageJ®, we compared the pixel intensity of the sample with a known DNA concentration to the predicted pixel intensity based on our standard curve. Special thanks to HD Resolution from the US and Tec de Monterrey_Gdl from Mexico!