Difference between revisions of "Team:Pasteur Paris/Interlab study"

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<img src="https://static.igem.org/mediawiki/2015/7/72/InterLab_Study_pasteur2015.jpg" style="width: 100%;"/>
 
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<p>After transformation of our Bacteria with each of our construct, we observed them to the ultraviolet light:</p>
 
<center><b>Fluorescence of our Bacteria:</b></center>
 
<center><b>Fluorescence of our Bacteria:</b></center>
 
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Revision as of 17:57, 18 September 2015



After transformation of our Bacteria with each of our construct, we observed them to the ultraviolet light:

Fluorescence of our Bacteria:

                 

Promoter A(J23101) + GFP         Promoter B(J23106) + GFP         Promoter C(J23117) + GFP


        

WT (Non transformed cells)                    GFP(I13405)                


For each clone, we made several analyses : a quantitative PCR (qPCR) for the determination of the plasmid/strain ratio, and a fluorescence test for the determination of the GFP expression by strain.

→ First, we have performed an efficacy assay so as to elucidate the settings and the amount of template required for our qPCR. For this, we amplified TyrA gene (a single copy gene) in genomic DNA (gDNA)(WT strain), and GFP gene in plasmid DNA (pDNA) (GFP in pSB1C3 strain) at different concentrations (dilution series of 1:10). The results show that the qPCR for TyrA was efficient so the parameters can be used; ≈1ng/uL is the amount of template to use.


→ Afterwards, we performed a parallel qPCR of our templates in order to amplify in one 96-well plate the amount of gDNA per strain, and on another plate the amount of pDNA (GFP+) corresponding to each strain. Thanks to this, a ratio of pDNA (GFP+) / gDNA was obtained; it shows the number of pDNA (GFP+) copies per biological clone and strain.



Results:

  pDNA / gDNA     Standard deviation  
  PA  
1.96
0.24
  PB  
2.62
0.83
  PC  
2.85
1.58


→ Finally, we analyzed the specific fluorescence of each strain and biological clone as a function of its growth (latest iGEM data suggest that GFP is expressed differently depending on the growth curve).

Knowing that the fluorescence depends on the cell growth, we measured the fluorescence (508 nm) and the cell growth (600 nm) in parallel thanks a TECAN robotic station equipped with a spectrophotometer.


Results:

  Fluorescence     Standard deviation  
  PA  
30794.41
670.92
  PB  
18780.67
772.80
  PC  
871.42
80.77
  GFP  
2234.05
85.26
  PB  
392.75
15.39

→ Thus, qPCR ratio values were used to normalize the data obtained from fluorescence/growth analyses, with the purpose of examining the promoter strength on expressing the GFP protein in our different biological clones and strains. In fact, the fluorescence obtained on each biological clone over time is divided by its qPCR ratio, in order to set the specific fluorescence value to a single pDNA (GFP+) devise. Therefore, by analyzing the differential of expression between strains and their biological clones, we determined which promoter triggered a higher GFP expression.



Results:



Conclusion

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