Team:SUSTC-Shenzhen-B/lab results

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                 </font><h3 class="STYLE2"><font face="Arial, Helvetica">1.  Fluorescence microscope results</font></h3>
                 </font><h3 class="STYLE2"><font face="Arial, Helvetica">1.  Fluorescence microscope results</font></h3>
<p>Our plasmid design contains a RFP and GFP. Fluorescence microscope pictures Figure 1 shows that GFP is expressed.<p>
<p>Our plasmid design contains a RFP and GFP. Fluorescence microscope pictures Figure 1 shows that GFP is expressed.<p>
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<p>488nm light was used to activate RFP. However we couldn’t see the expression of RFP.</p>
 
<img src=" http://2012.igem.org/wiki/images/e/ec/81.png" class="img_fl img_border" >
<img src=" http://2012.igem.org/wiki/images/e/ec/81.png" class="img_fl img_border" >
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               <p><span class="STYLE3">(Figure 1: Those bacteria who express GFP is seen under the fluorescence microscope activated by 488nm light.The  picture shows the expression of the GFP. ) </span></p>
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               <p><span class="STYLE3">(Figure 1 Those bacteria who express GFP is seen under the fluorescence microscope activated by 488nm light.The  picture shows the expression of the GFP. ) </span></p>
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              <p>&nbsp;</p>
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<h3 class="STYLE2"><font face="Arial, Helvetica">2.Flow cytometry results </font></h3>
<h3 class="STYLE2"><font face="Arial, Helvetica">2.Flow cytometry results </font></h3>
<img src=" http://2012.igem.org/wiki/images/6/60/Lab_results-f1.jpg" class="img_fl img_border" >
<img src=" http://2012.igem.org/wiki/images/6/60/Lab_results-f1.jpg" class="img_fl img_border" >
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<p><span class="STYLE3">(a)</span></p>
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<p><span class="STYLE3">Figure2-a</span></p>
<img src=" http://2012.igem.org/wiki/images/6/60/Lab_results-f2.jpg" class="img_fl img_border" >
<img src=" http://2012.igem.org/wiki/images/6/60/Lab_results-f2.jpg" class="img_fl img_border" >
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<p><span class="STYLE3">(b)</span></p>
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<p><span class="STYLE3">Figure2-b</span></p>
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<p>Flow cytometry results of GFP expression in experiment group (a) and control group (b). The average GFP fluorescence strength of control group is 432 unit and of experiment group is 251 unit. Therefore, the terminator efficiency is 251/432=0.58</p>
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<p>Flow cytometry results of GFP expression in experiment group Figure2-a and control group Figure2-b.The average GFP fluorescence strength of control group is 432 unit and of experiment group is 251 unit. Therefore, the terminator efficiency is 251/432=0.58</p>
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              <h3 class="STYLE2"><font face="Arial, Helvetica">3. Fit curves relating to dscores and terminator  efficiencies. </font></h3>
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<h3 class="STYLE2"><font face="Arial, Helvetica">3.Agreement with theoretical prediction</font></h3>
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<p class="STYLE4"><span class="STYLE2"><img src=" http://2012.igem.org/wiki/images/6/6d/QQ%E6%88%AA%E5%9B%BE20120927115928.png" class="img_fl img_border" //font /></span></p>
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<p class="STYLE3">(figure 6:  Summary of results)</p>
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<p class="STYLE2"><img src="http://2012.igem.org/wiki/images/e/ec/91.png" class="img_fl img_border" //font /></p>
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<p class="STYLE3">(figure 3 : According the data on biofab ( <a href="http://io.biofab.org/services/studio/dac/">http://io.biofab.org/services/studio/dac/</a> ) and  our software predicted dscores,  create fit curves. Linear fit curve is founded to have the highest accuracy  among all the fit curves. )</p>
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<p class="STYLE3"><span class="STYLE2"><img src=" http://2012.igem.org/wiki/images/d/d6/92.png" class="img_fl img_border" //font /></span></p>
<p class="STYLE3"><span class="STYLE2"><img src=" http://2012.igem.org/wiki/images/d/d6/92.png" class="img_fl img_border" //font /></span></p>
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<p class="STYLE3">(figure 4 : According to our  experiment measured terminator efficiencies and our software predicted dscores,  we create fit curve to relate all the data . To correspond to the figure 3, we  choose linear fit curve to link all the data. There are 5 valuable points of terminator  efficiencies. The sequences are listed below. In the experiment, we transform 9  terminators to plasmid mutant-psb1a3-GF  and only get 5 reliably terminators’ data. The points appeared on the figure  are terminators whose number is 1,4,6,7,8 )</p>
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<p class="STYLE3">(Figure 3 According to our  experiment measured terminator efficiencies and our software predicted dscores,  we create fit curve to relate all the data . To correspond to the figure 3, we  choose linear fit curve to link all the data. There are 5 valuable points of terminator  efficiencies. The sequences are listed below. In the experiment, we transform 9  terminators to plasmid mutant-psb1a3-GF  and only get 5 reliably terminators’ data. The points appeared on the figure  are terminators whose number is 1,4,6,7,8 )</p>
<p class="STYLE4"><span class="STYLE2"><img src=" http://2012.igem.org/wiki/images/2/2b/94.png" class="img_fl img_border" //font /></span></p>
<p class="STYLE4"><span class="STYLE2"><img src=" http://2012.igem.org/wiki/images/2/2b/94.png" class="img_fl img_border" //font /></span></p>
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<p class="STYLE3">(figure 5 : Here listed the sequences of  terminator whose efficiencies are measured in the lab.)</p>
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<p class="STYLE3">(Figure 4 Here listed the sequences of  terminator whose efficiencies are measured in the lab.)</p>
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Revision as of 19:48, 26 October 2012

Title

Result


1. Fluorescence microscope results

Our plasmid design contains a RFP and GFP. Fluorescence microscope pictures Figure 1 shows that GFP is expressed.

(Figure 1 Those bacteria who express GFP is seen under the fluorescence microscope activated by 488nm light.The picture shows the expression of the GFP. )

2.Flow cytometry results

Figure2-a

Figure2-b

Flow cytometry results of GFP expression in experiment group Figure2-a and control group Figure2-b.The average GFP fluorescence strength of control group is 432 unit and of experiment group is 251 unit. Therefore, the terminator efficiency is 251/432=0.58

3.Agreement with theoretical prediction

(Figure 3 According to our experiment measured terminator efficiencies and our software predicted dscores, we create fit curve to relate all the data . To correspond to the figure 3, we choose linear fit curve to link all the data. There are 5 valuable points of terminator efficiencies. The sequences are listed below. In the experiment, we transform 9 terminators to plasmid mutant-psb1a3-GF and only get 5 reliably terminators’ data. The points appeared on the figure are terminators whose number is 1,4,6,7,8 )

(Figure 4 Here listed the sequences of terminator whose efficiencies are measured in the lab.)