Difference between revisions of "Team:China Tongji/Achivement"

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             </ul>
 
             </ul>
 
         </li>
 
         </li>
         <li class="listOne"><p id="listModeling">3. Modeling</p></li>
+
         <li class="listOne"><p id="listModeling">3. Modeling</p>
 +
            <ul class="listOneDrop" id="listDropModeling">
 +
                <li class="listTwo" onClick="window.scrollTo(0,document.getElementById('third1').offsetTop)">3.1 Real-time tracing and mathematical analysis</li>
 +
                <li class="listTwo" onClick="window.scrollTo(0,document.getElementById('third12').offsetTop)">3.2 The relationship between light intensity and response index</li>
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                <li class="listTwo" onClick="window.scrollTo(0,document.getElementById('third13').offsetTop)">3.3 Turning angle measuring</li>
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            </ul>
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        </li>
 
         <li class="listOne"><p id="listSelfJudgement">4. Self Judgement</p></li>
 
         <li class="listOne"><p id="listSelfJudgement">4. Self Judgement</p></li>
 
         <li class="listOne"><p id="listJudgingForm">5. Judging Form</p></li>
 
         <li class="listOne"><p id="listJudgingForm">5. Judging Form</p></li>
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         <!-- 3. Modeling -->
 
         <!-- 3. Modeling -->
 
<p class="titleOne" id="Modeling">3. Modeling</p>   
 
<p class="titleOne" id="Modeling">3. Modeling</p>   
         <p class="contentP">
+
        <div class="fivePx"></div>
        Cells sense the environment, process information, and make response to stimuli. To make cells work well in complex natural environments, lots of processes have to be preset to react to various signals. However, when well-characterized modules are combined to construct higher order systems, unpredictable behaviors often occur because of the interplay between modules. Another significant problem is that complex integrated systems composed of numerous parts may cause cell overload.</p>
+
         <p class="titleTwo" id="third1">3.1 Real-time tracing and mathematical analysis</p>
        <center><img class="contentImg" src="https://static.igem.org/mediawiki/2015/5/57/China_Tongji_team-logo-300px.png" ></center>
+
<p class="contentP">We can analyze the reaction of the worms by watching the video we make when we test them. But the video is visual and dynamic. If we can get the track of those worms, it could benefit us a lot. Comparing to video results, the track is static and directly. So we decide to analyze the track of the worms. </p>
        <p class="imgName" align="center">Figure 2. China Tongji logo</p>
+
<p class="contentP">We draw up the trace of all these strains of worms by using real-time tracking technology. In our project, we keep tracking the head of the worm to draw up the trace. Due to the video we made, we generate a point at the place where the head of the worm at every 100ms. As a result, we can get a picture which stand for the trace of our worms.</p>
        <p class="contentP">
+
<p class="contentP">But the information is still not enough for us, so we try to give a coordinate system to each trace, which means that we can the coordinate of each point. So we define the first point as the original point, and the first two points on the X axis or Y axis. Then we get the trace with coordinate system.</p>
        Our design approach may lead to a revolutionary step towards <span style="font-weight:bold;">system integration</span> in synthetic biology. Potential fields of application include organism development, living therapeutics and environment improvement.</p>
+
<p class="contentP">Having the track of worms doesn’t mean we can get useful information from them. Only standardize the video can we make comparison to the different type of worms. To evaluate the reaction of these gene modified worms, we find some different aspects to observe them which are the trace, the speed and its angle when the C.elegent makes a turn. So standardize the video is very important for us to analyze the speed and the trace.</p>
        <p></p><div class="divider"></div>    
+
<p class="contentP">So we use 5-10-10 routine to make the video of the worms, so that it can benefit our analyzation later.The 5-10-10 routine means that the first 5 seconds leave the worm in white light, after that give it a 10 second of LED light, and at last leave it in white light for about 10 seconds or more. The 5-10-10 routine is better for us to analyze the speed of those worms. And the first 5 seconds white light is use to observe the normal behavior of the worms which can make comparison to the following period. The third period is use to observe how long the worm can get right.</p>
 +
<div class="fivePx"></div>
 +
<h3>Here are the tracks we build with coordinate system.</h3>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/0/0f/China-Tongji-Achievement-modeling-Figure1.png"/>
 +
    <p class="imgName">Figure 3-1: The trace of pmyo2-ChR2-YFP (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">This group is lite1 worm which is not sensitive to the lights, while other types of worms make have response to the light. So we choose lite1 worm to be our experimental subject to avoid unnecessary factors.</p>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/2/28/China-Tongji-Achievement-modeling-Figure2.png"/>
 +
    <p class="imgName">Figure 3-2: The trace of pmyo2-ChETA-EYFP (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">This group we use the mediums without ATR to foster the pmyo2-ChR2-YFP worms. We use this group to find out the effect of ATR. The pmyo2As a result, we find out that the ATR is necessary to our project. Only being fostered in the mediums which have ATR do the worms have response to the lights we give.In our project, we also set up other control groups to each strain, and they all have the same phenomenon. We choose pmyo2-ChR2-YFP worms as an example for this kind of worm have the highest efficiency.</p>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/3/3e/China-Tongji-Achievement-modeling-Figure3.png"/>
 +
    <p class="imgName">Figure 3-3: The trace of pmyo2-iC1C2-EYFP (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">This group we use green light to stimulate the pmyo2-ChR2-YFP worm. By doing this, we try to find out if the worm have response to all kinds of lights. At last, we find out that our worms would only have response to blue light (470nm, 5W, 1000mA). In our project, we also set up other control groups to each strain, and they all have the same phenomenon. We choose pmyo2-ChR2-YFP worms as an example for this kind of worm have the highest efficiency.</p>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/9/99/China-Tongji-Achievement-modeling-Figure4.png"/>
 +
    <p class="imgName">Figure 3-4: The trace of pmyo3-ChR2-YFP (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver. When we give light to this kind of worms, we can find some obvious responses. First, after we give light, the worm would change their direction in about 2 seconds in average. Their reactions are always step back. Secondly if we focus on the movement of their heads, we can find the turning angles change a lot during this time. It means the blue light can stimulate the muscle of their heads and as a result the worm will change the direction. But their behavior will turn to normal at the moment we turn off the light instantaneously. The speed of worm doesn’t have some apparent changes.</p>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/b/bd/China-Tongji-Achievement-modeling-Figure5.png"/>
 +
    <p class="imgName">Figure 3-5: The trace of pmyo3-ChETA-EYFP (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver.When giving the light, this kind of worms has little responses. But you can see the behavior of the head have changed a lot. It means the blue light can still infect the muscle near the head. When the light is on, the behaviors of the worms become stiff compare to the normal worms.  At the same time, after the light is given, you can find the speed of the worm obviously slow down. It is very interested that the worm will stop or even recede when the light is turned off. It means it will take some time for the worm to turn to normal.</p>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/6/69/China-Tongji-Achievement-modeling-Figure6.png"/>
 +
    <p class="imgName">Figure 3-6: The trace of pmyo3-iC1C2-EYFP (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">We test this kind of worms by using 5W LED blue light (470nm) with 100mA LED driver. This kind of worms also has obvious reaction under the blue light. Firstly, you can see an apparent direction change when giving the light. Their reactions are always step back when they are about to changing directions, but thechanges are not taken place instantaneously. It means it will be 5-7 seconds later when the worm changes direction. Secondly, you can see they twist their body when stimulated by the light. The turning angles of their head have changed a lot comparing to the normal worms.</p>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/1/1a/China-Tongji-Achievement-modeling-Figure7.png"/>
 +
    <p class="imgName">Figure 3-7: The trace of lite1 control (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver.This kind of worms is one of the highest expression worms among all the strains we have, and its reaction is very obvious. First when the light is on, we can find the whole body of this worm contract, which means the blue light lead to the muscle contraction of the worm. Secondly the worms will not move until we turn of the lights. It means that the blue light prevent the worm from moving. When giving the light, the worm will move. When the light is off the worm will keep moving. These means the speed of the worm is changing. It is very interesting that all these reactions are taken place instantaneous.</p>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/4/4c/China-Tongji-Achievement-modeling-Figure8.png"/>
 +
    <p class="imgName">Figure 3-8: The trace of no-ATR control (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver.This kind of worm has apparent response to the blue light. Firstly, when we give it blue light we found their bodies seem to be loss of control. It is remarkable that the blue light affect the muscles of the worm a lot. After the light turn off, it still need about 10 to 20 seconds for the worms to turn to be normal. But there seem to be no obvious changes when we analyze the direction and speed.</p>
 +
 
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/3/3a/China-Tongji-Achievement-modeling-Figure9.png"/>
 +
    <p class="imgName">Figure 3-9: The trace of green light control (with coordinate)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
<p class="contentP">We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver.Thisstrain has an obvious reaction to the blue light. When we give light to this worm, we can see it step back in about 2 seconds in average. It means this reaction is fast and instantaneously. It is remarkable that when the light is off, the worm turn to normal rapidly. But the speed and the movement of the worms will not be affected by blue light.</p>
 
          
 
          
 +
        <div class="fivePx"></div>
 +
        <p class="titleTwo" id="third2">3.2 The relationship between light intensity and response index</p>
 +
<p class="contentP">By using DC2100 we can achieve the aim that we could control the current of LED accurately. For our LEDs, there is a direct proportion relationship between light intensity and the current which move across it. To test which value is the best to stimulate the C.elegens, we design this part to help us. Accord to the limitation of DC2100, the largest current we can use is 1000mA. So we pick some worms of all strains which have obvious reactions as our experimental material (using 1000mA to test the reactions before). Using the worm which have reactions before is very important for this part. 0mA is needn’t to be tested, so we choose to start from 50mA. Every strain we pick up 10 worms to test it has reactions or not. After 50Ma has been tested, we test the 100mA and then 150mA and so on. Until we finish the test of 1000ma, we calculate the ratio of having reactions. Here are the graphs we get due to the records.The results are showed below. </p>
 +
 +
<center>
 +
    <img width="800" class="partsImg" src="https://static.igem.org/mediawiki/2015/b/b6/China-Tongji-Achievement-modeling-Figure10.png"/>
 +
    <p class="imgName">Figure 3-10: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo2-ChR2-YFP worm)</p>
 +
</center>
 +
 +
<center>
 +
    <img width="800" class="partsImg" src="https://static.igem.org/mediawiki/2015/f/fe/China-Tongji-Achievement-modeling-Figure11.png"/>
 +
    <p class="imgName">Figure 3-11: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo2-ChETA-EYFP worm)</p>
 +
</center>
 +
 +
<center>
 +
    <img width="800" class="partsImg" src="https://static.igem.org/mediawiki/2015/5/5d/China-Tongji-Achievement-modeling-Figure12.png"/>
 +
    <p class="imgName">Figure 3-12: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo2-iC1C2-EYFP worm)</p>
 +
</center>
 +
 +
<center>
 +
    <img width="800" class="partsImg" src="https://static.igem.org/mediawiki/2015/2/2e/China-Tongji-Achievement-modeling-Figure13.png"/>
 +
    <p class="imgName">Figure 3-13: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo3-ChR2-YFP worm)</p>
 +
</center>
 +
 +
<center>
 +
    <img width="800" class="partsImg" src="https://static.igem.org/mediawiki/2015/d/dd/China-Tongji-Achievement-modeling-Figure14.png"/>
 +
    <p class="imgName">Figure 3-14: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo3-ChETA-EYFP worm)</p>
 +
</center>
 +
 +
<center>
 +
    <img width="800" class="partsImg" src="https://static.igem.org/mediawiki/2015/b/bf/China-Tongji-Achievement-modeling-Figure15.png"/>
 +
    <p class="imgName">Figure 3-15: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo3-iC1C2-EYFP worm)</p>
 +
</center>
 +
 +
<h3>From these data, we can find out some conclusions. </h3>
 +
<p class="contentP">(1) For all these strains, the response index is getting larger with the increase of the current. </p>
 +
<p class="contentP">(2) For pmyo2-ChR2-YFP and pmyo3-ChR2-YFP, when the current increase to about 600 we can see the worm can be totally activated. </p>
 +
<p class="contentP">(3) For pmyo2-iC1C2-EYFP and pmyo3-iC1C2-EYFP, when the current increase to about 800 we can see the worm can be totally activated.</p>
 +
<p class="contentP">(4) For pmyo2-ChETA-EYFP and pmyo3-ChETA-EYFP, when the current increase to about 900 we can see the worm can be totally activated.</p>
 +
<p class="contentP">(5) For all the strains of worms, 1000mA is the most suitable current. So in our project we use 1000mA blue light (470nm, 5W) to test our worms.</p>
 +
       
 +
       
 +
        <div class="fivePx"></div>
 +
        <p class="titleTwo" id="third3">3.3 Turning angle measuring</p>
 +
<p class="contentP">As we know pmyo2 is express in pharyngeal of C.elegents, so the light will stimulate the head of the worms directly to the head. As a result, observing the movement of their heads is very significative. As we all know, the head of the worm is always shaking, so the turning angle (the angle of each shake) is a very useful data which reflect the response of the head. In this part, we use turning angle of their heads to evaluate the reaction of their head. </p>
 +
<p class="contentP">We choose pmyo2 worms as our experimental objects in this part. The results are showed below.</p>
 +
 +
<center>
 +
    <img width="800" class="partsImg" src="https://static.igem.org/mediawiki/2015/3/31/China-Tongji-Achievement-modeling-Figure16.png"/>
 +
    <p class="imgName">Figure 3-16: The turning angle measuring of pmyo2-ChR2-YFP (using blue light, 470nm, 5W, 1000mA)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/b/ba/China-Tongji-Achievement-modeling-Figure17.png"/>
 +
    <p class="imgName">Figure 3-17: The turning angle measuring of pmyo2-ChETA-EYFP (using blue light, 470nm, 5W, 1000mA)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/6/6e/China-Tongji-Achievement-modeling-Figure18.png"/>
 +
    <p class="imgName">Figure 3-18: The turning angle measuring of pmyo2-iC1C2-EYFP (using blue light, 470nm, 5W, 1000mA)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
 +
<center>
 +
    <img width="500" class="partsImg" src="https://static.igem.org/mediawiki/2015/a/ac/China-Tongji-Achievement-modeling-Figure19.png"/>
 +
    <p class="imgName">Figure 3-19: The turning angle measuring of pmyo2-ChR2-EYFP (given no light)</p>
 +
    <p class="imgName">[ <span style="color:#F00"><b>Red points</b></span> represents the track under white light. ]</p>
 +
    <p class="imgName">[ <span style="color:#00F"><b>Blue points</b></span> represents the track under blue light (470nm) ]</p>
 +
</center>
 +
 +
<h3>Analysis:</h3>
 +
<p class="contentP">From these figures we can get some useful information.</p>
 +
<p class="contentP">(1) The pmyo2-ChR2-YFP worms have an obvious response. When we give the lights, we can see theamplitude of turning angles become larger. The change of the turning angle becomes drastic.</p>
 +
<p class="contentP">(2) Compare to the pmyo2-ChR2-YFP worms, the other worm need a long time to be activated. And the time when the worm is activated has become longer.</p>
 +
<p class="contentP">(3) We use the pmyo2 worm given no lights as the control group. We test all the strains of pmyo2 worms, and they have the same reactions. We can see the fluctuation of turning angle is mild compare to those experimental groups.</p>
 +
   
 
          
 
          
 +
        <div class="divider"></div> 
 
         <!-- 4. Self Judgement -->
 
         <!-- 4. Self Judgement -->
 
<p class="titleOne" id="SelfJudgement">4. Self Judgement</p>   
 
<p class="titleOne" id="SelfJudgement">4. Self Judgement</p>   
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         <!-- 5. Judging Form -->
 
         <!-- 5. Judging Form -->
 
<p class="titleOne" id="JudgingForm">5. Judging Form</p>   
 
<p class="titleOne" id="JudgingForm">5. Judging Form</p>   
         <p class="contentP">Click and link to the <a href="https://igem.org/2015_Judging_Form?id=1634" target="_blank"><span class="linkWords">Team:China_Tongji/Judging Form!</span></a></p>
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         <p class="contentP">Click and link to the <a href="https://igem.org/2015_Judging_Form?id=1634" target="_blank"><span class="linkWords">Judging Form Official Page!</span></a></p>
 
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Revision as of 09:20, 17 September 2015

close label

Achivement

  • 1. Parts

  • 2. Equipment

    • 2.1 Introduction
    • 2.2 The installation of light source
    • 2.3 The adjustment of light path
    • 2.4 The refit of the light sources
  • 3. Modeling

    • 3.1 Real-time tracing and mathematical analysis
    • 3.2 The relationship between light intensity and response index
    • 3.3 Turning angle measuring
  • 4. Self Judgement

  • 5. Judging Form

  • 1. Parts

    Parts name Type Description Length
    BBa_K1634007 Composite pmyo2-ChR2-YFP 2509
    BBa_K1634008 Composite Pmyo2-dsRed 1378
    BBa_K1634004 Composite pmyo3-ChR2-YFP ( C.elegans ) 2629
    BBa_K1634002 regulatory pmyo2 ( a promoter in C.elegans ) 694
    BBa_K1634003 coding ChR2-YFP 1809
    BBa_K1634005 regulatory pmyo3 (a promoter in C.elegans) 814
    BBa_K1634006 Reporter dsRed ( a reporter which is a red fluorescent protein) 678

    Move your mouse on to the part line, you may see the sketch map below!

    pmyo2-chR2-YFP pmyo2-dsRed pmyo3-ChR2-YFP pmyo-2 ChR2-YFP pmyo-3 dsRed

    2. Equipment--Install our LED light Source

    2.1 Introduction

    ChR2 need a high power light to let it work on C.elegan. However, in our lab, we don’t have the light source which is powerful enough to let us use it for optogenetics. So we bought some parts from THORLABS, and prepare to build our own LED light source by ourselves.

    Here are all the parts we need to build LED light source:

    ACL2520-A

    ACL2520-A

    B1CM

    B1CM

    B4CM

    B4CM

    C4W

    C4W

    DC2100

    DC2100

    DMLP550R

    DMLP550R

    FFM1

    FFM1

    FL460-10

    FL460-10

    FL532-10

    FL532-10

    FL560-10

    FL560-10

    FL635-10

    FL635-10

    LEDD1B

    LEDD1B

    M470L3

    M470L3

    M530L3

    M530L3

    M590L3

    M590L3

    M625L3

    M625L3

    SM1A14

    SM1A14

    SM1CP2

    SM1CP2

    SM1L03

    SM1L03

    SM1T2

    SM1T2

    SM1V05

    SM1V05

    TPS001

    TPS001

    2.2 The installation of light source

    (1) Put the proper light filter into SM1L03 and fix it by SM1RR, and then fix the SM1L03 containing its filter to its light source. After that fix ACL2520-A inside of SM1V05, then fix them in front of SM1L03. Link this packaged light source to the C4W cube by using SM1T2.

    (2) Fix FFM1 to the B4C/M by using the prepared screws, then use FFM1 to nip the DMLP550R (please pay attention to the position which the filter located, the light whose wavelength is larger than 550nm will pass this filter, otherwise the light will be reflexed. When choosing the location of light sources, this matter should be considered as well). Then fixed the B4C/M to the cube carefully.

    (3) The surface which fixed with B4C/M is the underside of the cube. Use B1C/M to seal up the top surface of the cube. Fix two proper light sources to the surfaces which lights come in of C4W. The surface which light comes out will links to the microscope by using SM1T2 and SM1A14. The remaining surface will blocked by SM1CP2.

    (4) The installation has been completed.

    2.3 The adjustment of light path

    (1) The light path will be collimated by changing the length between light source and convex lens. When the length is changing, pay attention to the light spot on the optical screen. If the spot is clear and convergent, it means the light path has been collimated.

    (2) After join the light sources to the C4W cube, the light spot can be changed by rotating B4C/M and the screws on B4C/M.

    (3) The adjustment has been completed.

    Figure4: We are adjusting the light path, the spot is clear and convergent.

    2.4 The refit of the light sources

    After we build our LED light source, we found that it’s still not powerful enough for our experiment, so we decided to change the light source to 5W. we bought the 5W LED light from internet and replaced the old one.

    (1) Take down the LED of the light sources by using welding gun. Replace them by the high power LED. Make sure the surfaces of the substrate and the radiator are parallel.

    (2) The refit has been completed.

    3. Modeling

    3.1 Real-time tracing and mathematical analysis

    We can analyze the reaction of the worms by watching the video we make when we test them. But the video is visual and dynamic. If we can get the track of those worms, it could benefit us a lot. Comparing to video results, the track is static and directly. So we decide to analyze the track of the worms.

    We draw up the trace of all these strains of worms by using real-time tracking technology. In our project, we keep tracking the head of the worm to draw up the trace. Due to the video we made, we generate a point at the place where the head of the worm at every 100ms. As a result, we can get a picture which stand for the trace of our worms.

    But the information is still not enough for us, so we try to give a coordinate system to each trace, which means that we can the coordinate of each point. So we define the first point as the original point, and the first two points on the X axis or Y axis. Then we get the trace with coordinate system.

    Having the track of worms doesn’t mean we can get useful information from them. Only standardize the video can we make comparison to the different type of worms. To evaluate the reaction of these gene modified worms, we find some different aspects to observe them which are the trace, the speed and its angle when the C.elegent makes a turn. So standardize the video is very important for us to analyze the speed and the trace.

    So we use 5-10-10 routine to make the video of the worms, so that it can benefit our analyzation later.The 5-10-10 routine means that the first 5 seconds leave the worm in white light, after that give it a 10 second of LED light, and at last leave it in white light for about 10 seconds or more. The 5-10-10 routine is better for us to analyze the speed of those worms. And the first 5 seconds white light is use to observe the normal behavior of the worms which can make comparison to the following period. The third period is use to observe how long the worm can get right.

    Here are the tracks we build with coordinate system.

    Figure 3-1: The trace of pmyo2-ChR2-YFP (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    This group is lite1 worm which is not sensitive to the lights, while other types of worms make have response to the light. So we choose lite1 worm to be our experimental subject to avoid unnecessary factors.

    Figure 3-2: The trace of pmyo2-ChETA-EYFP (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    This group we use the mediums without ATR to foster the pmyo2-ChR2-YFP worms. We use this group to find out the effect of ATR. The pmyo2As a result, we find out that the ATR is necessary to our project. Only being fostered in the mediums which have ATR do the worms have response to the lights we give.In our project, we also set up other control groups to each strain, and they all have the same phenomenon. We choose pmyo2-ChR2-YFP worms as an example for this kind of worm have the highest efficiency.

    Figure 3-3: The trace of pmyo2-iC1C2-EYFP (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    This group we use green light to stimulate the pmyo2-ChR2-YFP worm. By doing this, we try to find out if the worm have response to all kinds of lights. At last, we find out that our worms would only have response to blue light (470nm, 5W, 1000mA). In our project, we also set up other control groups to each strain, and they all have the same phenomenon. We choose pmyo2-ChR2-YFP worms as an example for this kind of worm have the highest efficiency.

    Figure 3-4: The trace of pmyo3-ChR2-YFP (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver. When we give light to this kind of worms, we can find some obvious responses. First, after we give light, the worm would change their direction in about 2 seconds in average. Their reactions are always step back. Secondly if we focus on the movement of their heads, we can find the turning angles change a lot during this time. It means the blue light can stimulate the muscle of their heads and as a result the worm will change the direction. But their behavior will turn to normal at the moment we turn off the light instantaneously. The speed of worm doesn’t have some apparent changes.

    Figure 3-5: The trace of pmyo3-ChETA-EYFP (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver.When giving the light, this kind of worms has little responses. But you can see the behavior of the head have changed a lot. It means the blue light can still infect the muscle near the head. When the light is on, the behaviors of the worms become stiff compare to the normal worms. At the same time, after the light is given, you can find the speed of the worm obviously slow down. It is very interested that the worm will stop or even recede when the light is turned off. It means it will take some time for the worm to turn to normal.

    Figure 3-6: The trace of pmyo3-iC1C2-EYFP (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    We test this kind of worms by using 5W LED blue light (470nm) with 100mA LED driver. This kind of worms also has obvious reaction under the blue light. Firstly, you can see an apparent direction change when giving the light. Their reactions are always step back when they are about to changing directions, but thechanges are not taken place instantaneously. It means it will be 5-7 seconds later when the worm changes direction. Secondly, you can see they twist their body when stimulated by the light. The turning angles of their head have changed a lot comparing to the normal worms.

    Figure 3-7: The trace of lite1 control (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver.This kind of worms is one of the highest expression worms among all the strains we have, and its reaction is very obvious. First when the light is on, we can find the whole body of this worm contract, which means the blue light lead to the muscle contraction of the worm. Secondly the worms will not move until we turn of the lights. It means that the blue light prevent the worm from moving. When giving the light, the worm will move. When the light is off the worm will keep moving. These means the speed of the worm is changing. It is very interesting that all these reactions are taken place instantaneous.

    Figure 3-8: The trace of no-ATR control (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver.This kind of worm has apparent response to the blue light. Firstly, when we give it blue light we found their bodies seem to be loss of control. It is remarkable that the blue light affect the muscles of the worm a lot. After the light turn off, it still need about 10 to 20 seconds for the worms to turn to be normal. But there seem to be no obvious changes when we analyze the direction and speed.

    Figure 3-9: The trace of green light control (with coordinate)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    We test this kind of worms by using 5W LED blue light (470nm) with 1000mA LED driver.Thisstrain has an obvious reaction to the blue light. When we give light to this worm, we can see it step back in about 2 seconds in average. It means this reaction is fast and instantaneously. It is remarkable that when the light is off, the worm turn to normal rapidly. But the speed and the movement of the worms will not be affected by blue light.

    3.2 The relationship between light intensity and response index

    By using DC2100 we can achieve the aim that we could control the current of LED accurately. For our LEDs, there is a direct proportion relationship between light intensity and the current which move across it. To test which value is the best to stimulate the C.elegens, we design this part to help us. Accord to the limitation of DC2100, the largest current we can use is 1000mA. So we pick some worms of all strains which have obvious reactions as our experimental material (using 1000mA to test the reactions before). Using the worm which have reactions before is very important for this part. 0mA is needn’t to be tested, so we choose to start from 50mA. Every strain we pick up 10 worms to test it has reactions or not. After 50Ma has been tested, we test the 100mA and then 150mA and so on. Until we finish the test of 1000ma, we calculate the ratio of having reactions. Here are the graphs we get due to the records.The results are showed below.

    Figure 3-10: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo2-ChR2-YFP worm)

    Figure 3-11: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo2-ChETA-EYFP worm)

    Figure 3-12: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo2-iC1C2-EYFP worm)

    Figure 3-13: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo3-ChR2-YFP worm)

    Figure 3-14: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo3-ChETA-EYFP worm)

    Figure 3-15: The changing trend of response index with the change of light intensity (blue LED, 470nm, 5W, using pmyo3-iC1C2-EYFP worm)

    From these data, we can find out some conclusions.

    (1) For all these strains, the response index is getting larger with the increase of the current.

    (2) For pmyo2-ChR2-YFP and pmyo3-ChR2-YFP, when the current increase to about 600 we can see the worm can be totally activated.

    (3) For pmyo2-iC1C2-EYFP and pmyo3-iC1C2-EYFP, when the current increase to about 800 we can see the worm can be totally activated.

    (4) For pmyo2-ChETA-EYFP and pmyo3-ChETA-EYFP, when the current increase to about 900 we can see the worm can be totally activated.

    (5) For all the strains of worms, 1000mA is the most suitable current. So in our project we use 1000mA blue light (470nm, 5W) to test our worms.

    3.3 Turning angle measuring

    As we know pmyo2 is express in pharyngeal of C.elegents, so the light will stimulate the head of the worms directly to the head. As a result, observing the movement of their heads is very significative. As we all know, the head of the worm is always shaking, so the turning angle (the angle of each shake) is a very useful data which reflect the response of the head. In this part, we use turning angle of their heads to evaluate the reaction of their head.

    We choose pmyo2 worms as our experimental objects in this part. The results are showed below.

    Figure 3-16: The turning angle measuring of pmyo2-ChR2-YFP (using blue light, 470nm, 5W, 1000mA)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    Figure 3-17: The turning angle measuring of pmyo2-ChETA-EYFP (using blue light, 470nm, 5W, 1000mA)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    Figure 3-18: The turning angle measuring of pmyo2-iC1C2-EYFP (using blue light, 470nm, 5W, 1000mA)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    Figure 3-19: The turning angle measuring of pmyo2-ChR2-EYFP (given no light)

    [ Red points represents the track under white light. ]

    [ Blue points represents the track under blue light (470nm) ]

    Analysis:

    From these figures we can get some useful information.

    (1) The pmyo2-ChR2-YFP worms have an obvious response. When we give the lights, we can see theamplitude of turning angles become larger. The change of the turning angle becomes drastic.

    (2) Compare to the pmyo2-ChR2-YFP worms, the other worm need a long time to be activated. And the time when the worm is activated has become longer.

    (3) We use the pmyo2 worm given no lights as the control group. We test all the strains of pmyo2 worms, and they have the same reactions. We can see the fluctuation of turning angle is mild compare to those experimental groups.

    4. Self Judgement

    Cells sense the environment, process information, and make response to stimuli. To make cells work well in complex natural environments, lots of processes have to be preset to react to various signals. However, when well-characterized modules are combined to construct higher order systems, unpredictable behaviors often occur because of the interplay between modules. Another significant problem is that complex integrated systems composed of numerous parts may cause cell overload.

    Cells sense the environment, process information, and make response to stimuli. To make cells work well in complex natural environments, lots of processes have to be preset to react to various signals. However, when well-characterized modules are combined to construct higher order systems, unpredictable behaviors often occur because of the interplay between modules. Another significant problem is that complex integrated systems composed of numerous parts may cause cell overload.

    Figure 2. China_Tongji_iGEM_logo

    Our design approach may lead to a revolutionary step towards system integration in synthetic biology. Potential fields of application include organism development, living therapeutics and environment improvement.

    5. Judging Form

    Click and link to the Judging Form Official Page!