Difference between revisions of "Team:Tokyo Tech/Collaborations"

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<div id="main_contents">
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<h1 align="center">Collaborations</h1>
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</div><!-- /page_header -->
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<div id="collaboration_kait" class="container">
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<div id="collaboration_kait_header" class="container_header">
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<h1><span>1. Collaboration with Kanagawa Institute of Technology</span></h1>
 +
</div><!-- /collaboration_kait_header -->
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<div id="collaboration_kait_contents" class="container_contents">
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<div id="kait_overview">
 +
<div id="kait_overview_header">
 +
<h2><span>1.1. Overview</span></h2>
 +
</div><!-- /kait_overview_header -->
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<div id="kait_overview_contents">
 +
<p class="normal_text">Our team collaborated with iGEM 2016 team KAIT_Japan and other teams, as we were asked to help them with the modeling in an early stage. From iGEM 2016 team KAIT_Japan we were asked to help them create a mathematical model for their project.</p>
 +
</div><!-- /kait_overview_contents -->
 +
</div><!-- /kait_overview -->
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<div id="kait_project">
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<div id="kait_project_header">
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<h2><span>1.2. Project</span></h2>
 +
</div><!-- /kait_project_header -->
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<div id="kait_project_contents">
 +
<p class="normal_text">Team KAIT wanted to increase the production of Bacterial Cellulose (BC) produced by the bacteria <span style="font-style: italic">A</span>. <span style="font-style: italic">xylinum.</span> To do so, we have to take in account the cellulose synthesis pathway.</p>
 +
<a href="https://static.igem.org/mediawiki/2016/e/ee/T--Tokyo_Tech--Collaboration_Kait_1.png"><img src="https://static.igem.org/mediawiki/2016/e/ee/T--Tokyo_Tech--Collaboration_Kait_1.png" height="300px" /></a>
 +
<p class="caption"><span style="font-weight: bold;">Fig. 8-1-1. </span> Cellulose synthesis pathway of an <span style="font-style: italic">Acetobacter</span></p>
 +
<p class="normal_text">Taking this pathway in consideration iGEM 2016 team KAIT_Japan planned to increase the amount of cellulose production by diminishing the amount of G6PDH and PGI enzymes by the antisense method.</p>
  
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}
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</div><!-- /kait_project_contents -->
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</div><!-- /kait_project -->
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<div id="kait_model">
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<h2><span>1.3. Mathematical Model</span></h2>
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margin: 5px auto 5px;
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</div><!-- /kait_model_header -->
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<div id="kait_model_contents">
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#experiment_list{
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<p class="normal_text">Cellulose is produced basically by a series of enzyme reactions, so in order to create a mathematical model for this project, we have to take in account the principal reactions taking place in this production. By doing this we obtain the <a href="javascript:void(0)" onClick="show('equation1');">following equations</a>.</p>
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width: 60%;
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<div id="equation1" class="off">
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}
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<p>$$ \displaystyle \frac{d[Glc]}{dt} = - \frac{V_{max_1}[Glc]}{K_{m_1} + [Glc]} $$</p>
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#menu_list_division ul#promoter_list{
+
<p>$$ \displaystyle \frac{d[Frc]}{dt} = - \frac{V_{max_5}[Frc]}{K_{m_5} + [Frc]} - \frac{V_{max_6}[Frc]}{K_{m_6} + [Frc]} $$</p>
−
position: absolute;
+
<p>$$ \displaystyle \frac{d[G6P]}{dt} = - \frac{V_{max_1}[Glc]}{K_{m_1} + [Glc]} - \frac{V_{max_2}[G6P]}{K_{m_2} + [G6P]} - \frac{V_{f_3} \frac{[G6P]}{K_{s_3}} - V_{s_3} \frac{[F6P]}{K_{P_3}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} - \frac{V_{max_4}[G6P]}{K_{m_4} + [G6P]} $$ </p>
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top: -100%;
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<p>$$ \displaystyle \frac{d[F6P]}{dt} = \frac{V_{max_5} [Frc]}{K_{m_5} + [Frc]} + \frac{V_{max_8} [FDP]}{K_{m_8} + [FDP]} + \frac{V_{f_3} \frac{[G6P]}{K_{s_3} - V_{s_3} \frac{[F6P]}{K_{P_3}}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} $$</p>
−
}
+
<p>$$ \displaystyle \frac{[F1P]}{dt} = \frac{V_{max_6}[Frc]}{K_{m_6} + [Frc]} - \frac{V_{max_7} [F1P]}{K_{m_7} + [F1P]} $$</p>
 +
<p>$$ \displaystyle \frac{d[FDP]}{dt} = \frac{V_{max_7} [F1P]}{K_{m_7} + [F1P]} - \frac{V_{max_8} [FDP]}{K_{m_8} + [FDP]} $$</p>
 +
<p>$$ \displaystyle \frac{d[PGA]}{dt} = \frac{V_{max_2} [G6P]}{K_{m_2} + [G6P]} - \frac{V_{max_{11}}[PGA]}{K_{m_{11}} + [PGA]} $$</p>
 +
<p>$$ \displaystyle \frac{d[G1P]}{dt} = \frac{V_{max_4} [G6P]}{K_{m_4} + [G6P]} - \frac{V_{max_9} [G1P]}{K_{m_9} + [G1P]} $$ </p>
 +
<p>$$ \frac{[UDP - Glc]}{dt} = \frac{V_{max_9}[G1P]}{K_{m_9} + [G1P]} - \frac{V_{max_{10}}[UDP-Glc]}{K_{m_{10}} + [UDP-Glc]} $$</p>
 +
<p>$$ \frac{d[Cell]}{dt} = \frac{V_{max_{10}}[UDP-Glc]}{K_{m_{10}} + [UDP - Glc]} $$ </p>
 +
</div><!-- /equation1 -->
 +
<p class="normal_text">Were each equation represents the concentration of each molecule. \( V_{max_n} \) and \( K_{m_n} \) represent the maximal velocity and the Michaelis constant of reaction n respectively. In the case of the concentration of G6P and F6P we have to consider the reversibility of the reaction.</p>
 +
<p class="normal_text">However in this case, since it was considered to only use glucose and not fructose, we can simplify the equations to the <a href="javascript:void(0);" onClick="show('equation2');">following ones</a>.</p>
 +
<div id="equation2" class="off">
 +
<p>$$ \frac{d[Glc]}{dt} = - \frac{V_{max_1} [Glc]}{K_{m_1} + [Glc]} $$</p>
 +
<p>$$ \displaystyle \frac{d[G6P]}{dt} = - \frac{V_{max_1}[Glc]}{K_{m_1} + [Glc]} - \frac{V_{max_2}[G6P]}{K_{m_2} + [G6P]} - \frac{V_{f_3} \frac{[G6P]}{K_{s_3}} - V_{s_3} \frac{[F6P]}{K_{P_3}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} - \frac{V_{max_4}[G6P]}{K_{m_4} + [G6P]} $$</p>
 +
<p>$$ \frac{d[F6P]}{dt} = \frac{V_{f_3} \frac{[G6P]}{K_{s_3}}}{ 1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} $$</p>
 +
<p>$$ \frac{d[PGA]}{dt} = \frac{V_{max_2} [G6P]}{K_{m_2} + [G6P]} $$</p>
 +
<p>$$ \frac{d[G1P]}{dt} = \frac{V_{max_4} [G6P]}{K_{m_4} + [G6P]} - \frac{V_{max_9} [G1P]}{K_{m_9} + [G1P]} $$</p>
 +
<p>$$ \frac{d[UDP- Glc]}{dt} = \frac{V_{max_{9}} [G1P]}{K_{m_{9}} + [G1P]} - \frac{V_{max_{10}} [UDP-Glc]}{K_{m_{10}} + [UDP-Glc]} $$</p>
 +
<p>$$ \frac{d[Cell]}{dt} = \frac{V_{max_{10}} [UDP-Glc]}{K_{m_{10}} + [UDP-Glc]} $$</p>
 +
</div><!-- /equation2 -->
 +
</div><!-- /kait_model_contents -->
 +
</div><!-- /kait_model -->
 +
<div id="kait_antisense_method">
 +
<div id="kait_antisense_method_header">
 +
<h2><span>1.4. Antisense Method</span></h2>
 +
</div><!-- /kait_antisense_method_header -->
 +
<div id="kait_antisense_method_contentes">
 +
<p class="normal_text">The antisense method consists in inhibiting the production of certain proteins by using an antisense RNA that is perfectly complementary to the target nucleotide sequence, thus preventing its transcription. </p>
 +
<p class="normal_text">In this case we are using the antisense method to prevent the production of the enzymes G6PD and PGI so by representing the binding of the antisense mRNA to the nucleotide sequence by a hill equation we get <a href="javascript:void(0);" onClick="show('equation3')">the following equations</a>.</p>
 +
<div id="equation3" class="off">
 +
<p>$$ \frac{d[G6P]}{dt} = \frac{V_{max_1} [Glc]}{K_{m_1} + [Glc]} - \left(1 - \frac{\alpha_1[mRNA_1]^{n_1}}{K_1^{n_1} + [mRNA_1]^{n_1}} \right) * \frac{V_{max_2}[G6P]}{K_{m_2} + [G6P]} \\
 +
- \left(1 - \frac{\alpha_2[mRNA_2]^{n_2}}{K_2^{n_2} + [mRNA_2]^{n_2}} \right) * \frac{V_{f_3} \frac{[G6P]}{K_{s_3}} - V_{s_3} \frac{[F6P]}{K_{P_3}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} - \frac{V_{max_4}[G6P]}{K_{m_4} + [G6P]} $$</p>
 +
<p>$$ \frac{d[F6P]}{dt} = \left( 1 - \frac{alpha_2[mRNA_2]^{n_2}}{K_2^{n_2} + [mRNA_2]^{n_2}} \right) * \frac{V_{f_3} \frac{[G6P]}{K_{s_3}} - V_{s_3} \frac{[F6P]}{K_{P_3}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} $$</p>
 +
<p>$$ \frac{[PGA]}{dt} = \left(1 - \frac{\alpha_1[mRNA_1]^{n_1}}{K_1^{n_1} + [mRNA_1]^{n_1}} \right) * \frac{V_{max_2}[G6P]}{K_{m_2} + [G6P]} $$</p>
 +
</div><!-- /equation3 -->
 +
<p class="normal_text">Where ɑn and Kn and nn are constants from the hill equation. The concentration of the mRNA depend on the conditions of the experiment.</p>
 +
</div><!-- /kait_antisense_method_contents -->
 +
</div><!-- /kait_antisense_method -->
 +
<div id="kait_results">
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<div id="kait_results_header">
 +
<h2><span>1.5. Results</span><h2>
 +
</div><!-- /kait_results_header -->
 +
<div id="kait_results_contents">
 +
<p class="normal_text">Applying this mathematical model we got the following graphs.</p>
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<div id="kait_results_images">
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<a href="https://static.igem.org/mediawiki/2016/1/10/T--Tokyo_Tech--Collaboration_Kait_2.png"><img src="https://static.igem.org/mediawiki/2016/1/10/T--Tokyo_Tech--Collaboration_Kait_2.png" /></a>(a)
 +
<a href="https://static.igem.org/mediawiki/2016/2/21/T--Tokyo_Tech--Collaboration_Kait_3.png"><img src="https://static.igem.org/mediawiki/2016/2/21/T--Tokyo_Tech--Collaboration_Kait_3.png" /></a>(b)
 +
<a href="https://static.igem.org/mediawiki/2016/0/0c/T--Tokyo_Tech--Collaboration_Kait_4.png"><img src="https://static.igem.org/mediawiki/2016/0/0c/T--Tokyo_Tech--Collaboration_Kait_4.png" /></a>(c)
 +
<a href="https://static.igem.org/mediawiki/2016/f/fa/T--Tokyo_Tech--Collaboration_Kait_5.png"><img src="https://static.igem.org/mediawiki/2016/f/fa/T--Tokyo_Tech--Collaboration_Kait_5.png" /></a>(d)
 +
<a href="https://static.igem.org/mediawiki/2016/a/a6/T--Tokyo_Tech--Collaboration_Kait_6.png"><img src="https://static.igem.org/mediawiki/2016/a/a6/T--Tokyo_Tech--Collaboration_Kait_6.png" /></a>(e)
 +
<p class="caption"><span style="font-weight: bold;">Fig. 8-1-2. </span>
 +
(a) Concentrations without applying the antisense method,
 +
(b) Concentration while inhibiting G6PD enzyme,
 +
(c)  Concentrations inhibiting PGI enzyme,
 +
(d) Concentrations inhibiting both G6PD and PGI enzymes,
 +
(e) Concentrations strongly inhibiting both enzymes
 +
</p>
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<p class="normal_text">We can see that the production of BC increases the more we inhibit the enzymes G6PD and PGI, so we can assume this model is correct. However, we cannot say it is the most appropriate to our case since it has not been corroborated with the experiments. We managed, though, to create the basis for a future more precise model.</p><br>
 +
<div align="center"><img src="https://static.igem.org/mediawiki/2016/5/55/T--Tokyo_Tech--KAITlogo.jpg" height="200"><br></div>
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<div align="center"><p class="caption" style="font-size: 16px; text-align: center;"><span style="font-weight: bold;">Fig.8-1-3  </span>
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logo of KAIT_Japan</p></div>
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<h1><span>2. A workshop of modeling</span></h1>
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<p class="normal_text">On August 16th, we hosted a workshop of dry teams. The participating universities were Gifu University, Tokyo University of Agriculture and Technology, University of Tokyo and Kanazawa Institute of Technology. The iGEM Tokyo Tech team and the iGEM UT-Tokyo team taught modeling methods to the other iGEM teams. We exchanged our ideas, and thereby we gained new knowledge of modeling.</p>
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<div align="center"><img src="https://static.igem.org/mediawiki/2016/f/f5/T--Tokyo_Tech--Collabologos.png" height="180"><br></div>
 +
<div align="center"><p class="caption" style="font-size: 16px; text-align: center;"><span style="font-weight: bold;">Fig.8-1-4  </span>
 +
logo of UT-Tokyo(left), Tokyo-NoKoGen(center),iGEM Gifu(right)  </p></div>
  
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<p class="normal_text">We visited The American School in Japan on September 14th and gave a modeling lecture. We explained our project’s overview and taught modeling methods. We also talked about what iGEM is because The American School is a new iGEM team. The iGEM Tokyo Tech team had collaborated with many universities so far. This visit enabled us to collaborate with high school.</p>
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<p class="normal_text">     This year, our team was introduced on the page of iGEM EPFL, “iGEMnews”, where it which is written about other teams or their projects.<br>
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    We appreciate having such an opportunity because there are only a few chances for us to let people know about our team. <br><br>
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Revision as of 11:54, 14 October 2016

Collaborations

1. Collaboration with Kanagawa Institute of Technology

1.1. Overview

Our team collaborated with iGEM 2016 team KAIT_Japan and other teams, as we were asked to help them with the modeling in an early stage. From iGEM 2016 team KAIT_Japan we were asked to help them create a mathematical model for their project.

1.2. Project

Team KAIT wanted to increase the production of Bacterial Cellulose (BC) produced by the bacteria A. xylinum. To do so, we have to take in account the cellulose synthesis pathway.

Fig. 8-1-1. Cellulose synthesis pathway of an Acetobacter

Taking this pathway in consideration iGEM 2016 team KAIT_Japan planned to increase the amount of cellulose production by diminishing the amount of G6PDH and PGI enzymes by the antisense method.

1.3. Mathematical Model

Cellulose is produced basically by a series of enzyme reactions, so in order to create a mathematical model for this project, we have to take in account the principal reactions taking place in this production. By doing this we obtain the following equations.

$$ \displaystyle \frac{d[Glc]}{dt} = - \frac{V_{max_1}[Glc]}{K_{m_1} + [Glc]} $$

$$ \displaystyle \frac{d[Frc]}{dt} = - \frac{V_{max_5}[Frc]}{K_{m_5} + [Frc]} - \frac{V_{max_6}[Frc]}{K_{m_6} + [Frc]} $$

$$ \displaystyle \frac{d[G6P]}{dt} = - \frac{V_{max_1}[Glc]}{K_{m_1} + [Glc]} - \frac{V_{max_2}[G6P]}{K_{m_2} + [G6P]} - \frac{V_{f_3} \frac{[G6P]}{K_{s_3}} - V_{s_3} \frac{[F6P]}{K_{P_3}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} - \frac{V_{max_4}[G6P]}{K_{m_4} + [G6P]} $$

$$ \displaystyle \frac{d[F6P]}{dt} = \frac{V_{max_5} [Frc]}{K_{m_5} + [Frc]} + \frac{V_{max_8} [FDP]}{K_{m_8} + [FDP]} + \frac{V_{f_3} \frac{[G6P]}{K_{s_3} - V_{s_3} \frac{[F6P]}{K_{P_3}}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} $$

$$ \displaystyle \frac{[F1P]}{dt} = \frac{V_{max_6}[Frc]}{K_{m_6} + [Frc]} - \frac{V_{max_7} [F1P]}{K_{m_7} + [F1P]} $$

$$ \displaystyle \frac{d[FDP]}{dt} = \frac{V_{max_7} [F1P]}{K_{m_7} + [F1P]} - \frac{V_{max_8} [FDP]}{K_{m_8} + [FDP]} $$

$$ \displaystyle \frac{d[PGA]}{dt} = \frac{V_{max_2} [G6P]}{K_{m_2} + [G6P]} - \frac{V_{max_{11}}[PGA]}{K_{m_{11}} + [PGA]} $$

$$ \displaystyle \frac{d[G1P]}{dt} = \frac{V_{max_4} [G6P]}{K_{m_4} + [G6P]} - \frac{V_{max_9} [G1P]}{K_{m_9} + [G1P]} $$

$$ \frac{[UDP - Glc]}{dt} = \frac{V_{max_9}[G1P]}{K_{m_9} + [G1P]} - \frac{V_{max_{10}}[UDP-Glc]}{K_{m_{10}} + [UDP-Glc]} $$

$$ \frac{d[Cell]}{dt} = \frac{V_{max_{10}}[UDP-Glc]}{K_{m_{10}} + [UDP - Glc]} $$

Were each equation represents the concentration of each molecule. \( V_{max_n} \) and \( K_{m_n} \) represent the maximal velocity and the Michaelis constant of reaction n respectively. In the case of the concentration of G6P and F6P we have to consider the reversibility of the reaction.

However in this case, since it was considered to only use glucose and not fructose, we can simplify the equations to the following ones.

$$ \frac{d[Glc]}{dt} = - \frac{V_{max_1} [Glc]}{K_{m_1} + [Glc]} $$

$$ \displaystyle \frac{d[G6P]}{dt} = - \frac{V_{max_1}[Glc]}{K_{m_1} + [Glc]} - \frac{V_{max_2}[G6P]}{K_{m_2} + [G6P]} - \frac{V_{f_3} \frac{[G6P]}{K_{s_3}} - V_{s_3} \frac{[F6P]}{K_{P_3}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} - \frac{V_{max_4}[G6P]}{K_{m_4} + [G6P]} $$

$$ \frac{d[F6P]}{dt} = \frac{V_{f_3} \frac{[G6P]}{K_{s_3}}}{ 1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} $$

$$ \frac{d[PGA]}{dt} = \frac{V_{max_2} [G6P]}{K_{m_2} + [G6P]} $$

$$ \frac{d[G1P]}{dt} = \frac{V_{max_4} [G6P]}{K_{m_4} + [G6P]} - \frac{V_{max_9} [G1P]}{K_{m_9} + [G1P]} $$

$$ \frac{d[UDP- Glc]}{dt} = \frac{V_{max_{9}} [G1P]}{K_{m_{9}} + [G1P]} - \frac{V_{max_{10}} [UDP-Glc]}{K_{m_{10}} + [UDP-Glc]} $$

$$ \frac{d[Cell]}{dt} = \frac{V_{max_{10}} [UDP-Glc]}{K_{m_{10}} + [UDP-Glc]} $$

1.4. Antisense Method

The antisense method consists in inhibiting the production of certain proteins by using an antisense RNA that is perfectly complementary to the target nucleotide sequence, thus preventing its transcription.

In this case we are using the antisense method to prevent the production of the enzymes G6PD and PGI so by representing the binding of the antisense mRNA to the nucleotide sequence by a hill equation we get the following equations.

$$ \frac{d[G6P]}{dt} = \frac{V_{max_1} [Glc]}{K_{m_1} + [Glc]} - \left(1 - \frac{\alpha_1[mRNA_1]^{n_1}}{K_1^{n_1} + [mRNA_1]^{n_1}} \right) * \frac{V_{max_2}[G6P]}{K_{m_2} + [G6P]} \\ - \left(1 - \frac{\alpha_2[mRNA_2]^{n_2}}{K_2^{n_2} + [mRNA_2]^{n_2}} \right) * \frac{V_{f_3} \frac{[G6P]}{K_{s_3}} - V_{s_3} \frac{[F6P]}{K_{P_3}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} - \frac{V_{max_4}[G6P]}{K_{m_4} + [G6P]} $$

$$ \frac{d[F6P]}{dt} = \left( 1 - \frac{alpha_2[mRNA_2]^{n_2}}{K_2^{n_2} + [mRNA_2]^{n_2}} \right) * \frac{V_{f_3} \frac{[G6P]}{K_{s_3}} - V_{s_3} \frac{[F6P]}{K_{P_3}}}{1 + \frac{[G6P]}{K_{s_3}} + \frac{[F6P]}{K_{P_3}}} $$

$$ \frac{[PGA]}{dt} = \left(1 - \frac{\alpha_1[mRNA_1]^{n_1}}{K_1^{n_1} + [mRNA_1]^{n_1}} \right) * \frac{V_{max_2}[G6P]}{K_{m_2} + [G6P]} $$

Where ɑn and Kn and nn are constants from the hill equation. The concentration of the mRNA depend on the conditions of the experiment.

1.5. Results

Applying this mathematical model we got the following graphs.

(a) (b) (c) (d) (e)

Fig. 8-1-2. (a) Concentrations without applying the antisense method, (b) Concentration while inhibiting G6PD enzyme, (c) Concentrations inhibiting PGI enzyme, (d) Concentrations inhibiting both G6PD and PGI enzymes, (e) Concentrations strongly inhibiting both enzymes

We can see that the production of BC increases the more we inhibit the enzymes G6PD and PGI, so we can assume this model is correct. However, we cannot say it is the most appropriate to our case since it has not been corroborated with the experiments. We managed, though, to create the basis for a future more precise model.



Fig.8-1-3 logo of KAIT_Japan

2. A workshop of modeling

On August 16th, we hosted a workshop of dry teams. The participating universities were Gifu University, Tokyo University of Agriculture and Technology, University of Tokyo and Kanazawa Institute of Technology. The iGEM Tokyo Tech team and the iGEM UT-Tokyo team taught modeling methods to the other iGEM teams. We exchanged our ideas, and thereby we gained new knowledge of modeling.


Fig.8-1-4 logo of UT-Tokyo(left), Tokyo-NoKoGen(center),iGEM Gifu(right)

3. Helping a New iGEM High School Team

We visited The American School in Japan on September 14th and gave a modeling lecture. We explained our project’s overview and taught modeling methods. We also talked about what iGEM is because The American School is a new iGEM team. The iGEM Tokyo Tech team had collaborated with many universities so far. This visit enabled us to collaborate with high school.


Fig.8-1-5 logo of The American School in Japan

4. Developing an application

4.1. Abstract

We developed an Android application based on the suggestion from iGEM 2016 team UT-Tokyo of turning E. coli cultivation and genetic modification into an application so that more people know synthetic biology.

4.2. Explanation of the Application

When a player taps the main screen, E. coli on a medium increases. Additionally, the more E. coli increases, the more experience points a player gains, which increases the player’s level. Leveling up also gives the player access to gene ligation techniques.

This application is distributed on Google Play. Here is the URL.

At present, players can only increase the number of E. coli. In the future, we aim to upgrade the application so that players can do genetic modification in the application.

5. May Festeval

The Japanese iGEM teams took part in the school festival at the University of Tokyo. Our team shared ideas and gave each other feedbacks. We introduced iGEM and synthetic biology to the public.

See the Human Practice page for further information.

6. Meetup

7. Writing International iGEM Protocols

8. Published on iGEM news

This year, our team was introduced on the page of iGEM EPFL, “iGEMnews”, where it which is written about other teams or their projects.
We appreciate having such an opportunity because there are only a few chances for us to let people know about our team.


Fig.8-1-4 logo of iGEM.TODAY

iGEM News link