Difference between revisions of "Team:Toronto"

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<p>Inline <strong>markdown</strong>!</p>
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<p>TORONTO</p>
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<p>More working md?</p>
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<li>yes</li>
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<li>no</li>
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<li><a href="https://2016.igem.org/Team:Toronto"><span>home</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Achievements"><span>achievements</span></a></li>
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<li><a href="#"><span>team</span></a>
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<li><a href="https://2016.igem.org/Team:Toronto/Team"><span>team</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Collaborations"><span>collaborations</span></a></li>
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<li><a href="#"><span>project</span></a>
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<li><a href="https://2016.igem.org/Team:Toronto/Description"><span>description</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Design"><span>design</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Experiments"><span>experiments</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Proof"><span>proof</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Demonstrate"><span>demonstrate</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Results"><span>results</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Notebook"><span>notebook</span></a></li>
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<li><a href="#"><span>parts</span></a>
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<li><a href="https://2016.igem.org/Team:Toronto/Composite_Part"><span>composite_part</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Part_Collection"><span>part_collection</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Safety"><span>safety</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/HP-Silver"><span>silver</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/HP-Gold"><span>gold</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Integrated_Practices"><span>integrated_practices</span></a></li>
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<li><a href="#"><span>awards</span></a>
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<li><a href="https://2016.igem.org/Team:Toronto/Software"><span>software</span></a></li>
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<li><a href="https://2016.igem.org/Team:Toronto/Model"><span>model</span></a></li>
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<div class="content" id="content-main"><div class="row"><div class="col col-lg-8 col-md-12"><div class="content-main"><p><img src="https://static.igem.org/mediawiki/2016/f/f4/T--Toronto--2016_team.jpg" alt=""></p>
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<p>iGEM Toronto 2016 worked on developing a portable synthetic biological sensor for gold, and a deep neural network for discovering novel genes involved in gold biomineralization.</p>
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<p>Biological methods can be used to detect metal ions, complexes and nanoparticles. Biosensing refers to a collection of techniques which utilize existing biological pathways and complexes to detect specific metals in various samples, such as those from soil and drinking water. Biosensing has been found to occur in relation to iron, zinc, copper, silver, gold and cadmium.</p>
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<p><img src="https://static.igem.org/mediawiki/parts/f/f0/2016_Toronto_Graphic_Sum.png" alt="alt text"></p>
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<center><em>Figure 1: Graphic Summary of 2016 iGEM Toronto Project</em></center>
  
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<p>Here, we propose an environmentally-friendly approach to biosensing through design and implementation of novel synthetic biology solutions for the mining industry. By creating cell-free paper-based biosensors, we intend to develop a quick, easy and affordable method for detection of gold in soil samples. Our team plans on tackling through use of a transcriptional activator, GolS, and its variants, which induce their associated reporter genes in the presence of gold ions. These reporter genes will be selected to act as visual indicators. Our computational team will augment this project by engineering a smartphone application for colorimetric analysis. This will be done using the smartphone’s camera input of the visual indicators to estimate the amount of gold present in a sample. The computational team will also be developing a pipeline to identify gene clusters related to a given function of interest. This data mining module will allow its user to search for homologous gene clusters as potential gold resistant or accumulation genes like alternatives to the del cluster.</p>
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<h2> Project Description </h2>
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<h2 id="sponsors">Sponsors</h2>
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<p>The University of Toronto will be developing a portable synthetic biological sensor for gold, and a deep neural network for discovering novel genes involved in gold biomineralization.
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<p>We thank to all our sponsors who supported our project!</p>
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</p>
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<h3 id="gold-sponsors">Gold Sponsors</h3>
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<p>
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<center>
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Biological methods can be used to detect metal ions, complexes and nanoparticles. Biosensing refers to a collection of techniques which utilize existing biological pathways and complexes to detect specific metals in various samples, such as those from soil and drinking water. Biosensing has been found to occur in relation to iron, zinc, copper, silver, gold and cadmium.
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<img src="https://static.igem.org/mediawiki/parts/3/3b/2016_Toronto_Logo_BioZone.jpeg" alt="alt text">
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<img src="https://static.igem.org/mediawiki/parts/2/2b/2016_Toronto_Logo_IMM.png" alt="alt text">
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<img src="https://static.igem.org/mediawiki/parts/b/bb/2016_Toronto_Logo_PharmTox.png" style="width:80%;"/>
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Here, we propose an environmentally-friendly approach to biosensing through design and implementation of novel synthetic biology solutions for the mining industry. By creating cell-free paper-based biosensors, we intend to develop a quick, easy and affordable method for detection of gold in soil samples. Our team plans on tackling through use of a transcriptional activator, GolS, and its variants, which induce their associated reporter genes in the presence of gold ions. These reporter genes will be selected to act as visual indicators. Our computational team will augment this project by engineering a smartphone application for colorimetric analysis. This will be done using the smartphone’s camera input of the visual indicators to estimate the amount of gold present in a sample. The computational team will also be developing a pipeline to identify gene clusters related to a given function of interest. This data mining module will allow its user to search for homologous gene clusters as potential gold resistant or accumulation genes like alternatives to the del cluster.
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<img src="https://static.igem.org/mediawiki/parts/f/f2/2016_Toronto_Logo_Benchling.png" alt="alt text">
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<h3 id="silver-sponsors">Silver Sponsors</h3>
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<center>
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<img src="https://static.igem.org/mediawiki/parts/7/77/2016_Toronto_Logo_CAGEF.png" alt="alt text">
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<img src="https://static.igem.org/mediawiki/parts/3/31/2016_Toronto_Logo_Physics.jpeg" alt="alt text">
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<img src="https://static.igem.org/mediawiki/parts/f/ff/2016_Toronto_Logo_CS.jpeg" style="width: 80%;"/>
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<h3 id="bronze-sponsors">Bronze Sponsors</h3>
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<center>
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<img src="https://static.igem.org/mediawiki/parts/7/78/2016_Toronto_Logo_GLSE.jpeg" style="width: 40%;"/>
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<img src="https://static.igem.org/mediawiki/parts/7/7c/2016_Toronto_Logo_UC.jpeg" style="width: 70%;"/>
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<img src="https://static.igem.org/mediawiki/parts/7/7a/2016_Toronto_Logo_LMP.jpeg" alt="alt text">
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<img src="https://static.igem.org/mediawiki/parts/7/74/2016_Toronto_Logo_NBL.jpeg" style="width: 60%;"/>
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</center>
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</div></div><div id="tableofcontents" class="tableofcontents affix sidebar col-lg-4 hidden-xs hidden-sm hidden-md visible-lg-3"><ul class="nav">
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<li><a href="#gold-sponsors">Gold Sponsors</a></li>
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<li><a href="#silver-sponsors">Silver Sponsors</a></li>
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<li><a href="#bronze-sponsors">Bronze Sponsors</a></li>
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</ul>
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{{Toronto/footer}}

Latest revision as of 23:55, 19 October 2016

iGEM Toronto 2016 worked on developing a portable synthetic biological sensor for gold, and a deep neural network for discovering novel genes involved in gold biomineralization.

Biological methods can be used to detect metal ions, complexes and nanoparticles. Biosensing refers to a collection of techniques which utilize existing biological pathways and complexes to detect specific metals in various samples, such as those from soil and drinking water. Biosensing has been found to occur in relation to iron, zinc, copper, silver, gold and cadmium.

alt text

Figure 1: Graphic Summary of 2016 iGEM Toronto Project

Here, we propose an environmentally-friendly approach to biosensing through design and implementation of novel synthetic biology solutions for the mining industry. By creating cell-free paper-based biosensors, we intend to develop a quick, easy and affordable method for detection of gold in soil samples. Our team plans on tackling through use of a transcriptional activator, GolS, and its variants, which induce their associated reporter genes in the presence of gold ions. These reporter genes will be selected to act as visual indicators. Our computational team will augment this project by engineering a smartphone application for colorimetric analysis. This will be done using the smartphone’s camera input of the visual indicators to estimate the amount of gold present in a sample. The computational team will also be developing a pipeline to identify gene clusters related to a given function of interest. This data mining module will allow its user to search for homologous gene clusters as potential gold resistant or accumulation genes like alternatives to the del cluster.

Sponsors

We thank to all our sponsors who supported our project!

Gold Sponsors

alt text alt text alt text

Silver Sponsors

alt text alt text

Bronze Sponsors

alt text