Difference between revisions of "Part:BBa K1694045"

 
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<partinfo>BBa_K1694045 short</partinfo>
 
<partinfo>BBa_K1694045 short</partinfo>
 
<h1>'''Introduction:'''</h1>
 
<h1>'''Introduction:'''</h1>
[[File:HER2BFP1.png|600px|thumb|center|'''Fig.1''' Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048]]
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[[File:HER2BFP1.png|900px|thumb|center|'''Fig.1''' Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048]]
 
<p style="font-size:120%">'''Transformation of single plasmid'''</p>
 
<p style="font-size:120%">'''Transformation of single plasmid'''</p>
  
To prove that our scFv can actually bind on to the antigen on cancer cells, we connected each scFv with a different fluorescence protein. Therefore we could use fluorescence microscope to clearly observe if the E. coli has produced scFv proteins. Currently,we built three different scFv connected with their respectively fluorescence protein, which are Anti-VEGF+GFP, Anti-EGFR+RFP, Anti-HER2+BFP. When applied on cell staining, we can identify the antigen distribution on cancer cells by observing the fluorescence. Furthermore, if we use the three scFv simultaneously, we can also detect multiple markers.  
+
To prove that our scFv can actually bind on to the antigens on carcinoma cells, we connected each scFv with a different fluorescent protein. Therefore, we can use fluorescent microscopes to clearly observe, if the ''E. coli'' has produced scFv proteins. Currently, we have built three different scFv connected with their respective fluorescent proteins, which are anti-VEGF+GFP, anti-EGFR+RFP, anti-HER2+BFP. The process of cell staining can identify the antigen distribution on cancer cells by observing the fluorescence. Furthermore, if we use the three scFv simultaneously, we can also detect multiple markers.  
[[File:TLB.png|600px|thumb|center|'''Fig.2''' Transformation of single plasmid]]
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<br><br>
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<html>
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Introduction of basic parts: <br>
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<a href="https://parts.igem.org/wiki/index.php?title=Part:BBa_K1694002"> Lpp-OmpA-N</a><br>
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<a href="https://parts.igem.org/wiki/index.php?title=Part:BBa_K1694005"> Anti-HER2 </a><br>
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<a href="https://parts.igem.org/wiki/index.php?title=Part:BBa_K1694015">OmpA-N-Anti-HER2 </a><br>
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</html>
 +
 
 
<h1>'''Experiment'''</h1>
 
<h1>'''Experiment'''</h1>
 
'''1.Cloning'''
 
'''1.Cloning'''
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[[File:PROHBFPPCR.png|200px|thumb|left|'''Fig.2''' The PCR result of the Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048. The DNA sequence length is around 1900~2100 bp, so the PCR products should appear at 2100~2300 bp.]]
 +
 +
After we assemble the DNA sequences from the basic parts, we recombined each Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048 gene to pSB1C3 backbones and conducted PCR experiments to ensure the size of each of the parts. The DNA sequence length of the these parts are around 1900~2100 bp. For PCR experiments, the size of products should be approximately 2100~2300 bp. The '''Fig.2''' below shows the correct size of this part, and proved that we successful ligated the sequence onto an ideal backbone.
 +
[[File:PROHBFPsss.png|600px|thumb|center|'''Fig.3''' Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048]]
  
After assemble the DNA sequences from the basic parts, we recombined each Pcons+B0034+Lpp-OmpA-N+scFv(Anti-HER2)+B0030+BFP+J61048 gene to PSB1C3 backbones and conducted a PCR experiment to check the size of each of the parts. The DNA sequence length of the these parts are around 1900~2100 bp. In this PCR experiment, the PCR products size should be near at 2100~2300 bp. The Fig.3 showed the correct size of this part, and proved that we successful ligated the sequence onto an ideal backbone.
 
[[File:PROHBFPPCR.png|200px|thumb|left|'''Fig.3''' The PCR result of the Pcons+B0034+Lpp-OmpA-N+scFv(Anti-HER2)+B0030+BFP+J61048. The DNA sequence length is around 1900~2100 bp, so the PCR products should appear at 2100~2300 bp.]]
 
  
[[File:PROHBFPsss.png|600px|thumb|center|'''Fig.4''' Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048]]
 
  
 
<br>
 
<br>
 
<p style="font-size:120%">'''2. Transformation of single plasmid'''</p>
 
<p style="font-size:120%">'''2. Transformation of single plasmid'''</p>
  
<br>
+
[[File:TLB.png|600px|thumb|center|'''Fig.4''' Transformation of single plasmid]]
 
''' (1) Cell staining experiment:'''
 
''' (1) Cell staining experiment:'''
After creating the part of scFv and transforming them into our ''E. coli'', we were going to prove that our detectors have successfully displayed scFv of anti-HER2. To prove this, we have decided to undergo the cell staining experiment by using our ''E. coli'' to detect the EGFR in the SKOV-3 cancer cell lines. SKOV-3 is a kind of epithelial cell that expressed markers such as HER2.
+
After inserting a part of the scFv gene into our ''E. coli'', we were going to prove that our detectors have successfully displayed a functional scFv of anti-HER2. To prove this, we have decided to undergo the cell staining experiment by using our ''E. coli'' to detect the HER2 on the SKOV-3 cancer cell lines. SKOV-3 is a kind of epithelial cell that expressed markers such as HER2.
 
<br>
 
<br>
 
<br>
 
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<br>
 
<br>
 
<div style="display: block; height: 250pt;">
 
<div style="display: block; height: 250pt;">
[[File:HERBFP1.png|400px|thumb|left|'''Fig.18''' As results,there is no bfp fluorescent ''E. coli'' stick on the cell’s surface as there is no specific scFv displayed around the ''E. coli''.]]  
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[[File:HERBFP1.png|400px|thumb|left|'''Fig.5''' As a result, there is no blue fluorescent ''E. coli'' stick on the cell’s surface as there is no specific scFv displayed around the ''E. coli''.]]  
[[File:HERBFP2.png|400px|thumb|left|BFP fluorescent anti-HER2 ''E. coli'' stick on the cell’s surface as the anti-HER2 probes on ''E. coli'' successfully detect and bind with HER2.]]
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[[File:HERBFP2.png|400px|thumb|left|'''Fig.6''' There are blue fluorescent anti-HER2 ''E. coli'' stick on the cell’s surface as the anti-HER2 probes on ''E. coli'' successfully detect and bind with HER2.]]
 
</div>
 
</div>
  
 
<h1>'''Modeling'''</h1>
 
<h1>'''Modeling'''</h1>
In the modeling part, we discover optimum protein expression time by using the genetic algorithm in Matlab.
+
In the modeling part, we discovered the optimum protein production time by using the genetic algorithm in Matlab.
 
<br>
 
<br>
We want to characterize the actual kinetics of this Hill-function based model that accurately reflects protein expression time.
+
We want to characterize the actual kinetics of this Hill-function based model that accurately reflects protein production time.
 
<br>
 
<br>
When we have the simulated protein expression rate, the graph of protein production versus time can be drawn. Thus, we get the optimum protein production time
+
When we have the simulated protein production rate, the graph of protein production versus time can be drawn. Thus, we get the optimum protein production time.
Compared with the simulated protein expression rate of time, our experiment data quite fit the simulation.
+
Compared with the simulated protein production rate of time, our experiment data quite fit the simulation.
  
 
<br>
 
<br>
[[File:WholeHER2-BFP.png|800px|thumb|center|From this graph, the orange curve is the simulated protein expression. The blue curve is our experimental data. By comparing the orange curve and the blue curve, we speculated that experimental error cause the undesired result.]]  
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[[File:WholeHER2-BFP.png|800px|thumb|center|'''Fig.7''' From this graph, the orange curve is the simulated protein expression. The blue curve is our experimental data. By comparing the orange curve and the blue curve, we speculated that the experimental error must have caused the undesired result.]]  
  
  

Latest revision as of 15:18, 24 September 2015

Pcons+B0034+Lpp-OmpA-N+scFv(Anti-HER2)+B0030+BFP+J61048

Introduction:

Fig.1 Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048

Transformation of single plasmid

To prove that our scFv can actually bind on to the antigens on carcinoma cells, we connected each scFv with a different fluorescent protein. Therefore, we can use fluorescent microscopes to clearly observe, if the E. coli has produced scFv proteins. Currently, we have built three different scFv connected with their respective fluorescent proteins, which are anti-VEGF+GFP, anti-EGFR+RFP, anti-HER2+BFP. The process of cell staining can identify the antigen distribution on cancer cells by observing the fluorescence. Furthermore, if we use the three scFv simultaneously, we can also detect multiple markers.

Introduction of basic parts:
Lpp-OmpA-N
Anti-HER2
OmpA-N-Anti-HER2

Experiment

1.Cloning

Fig.2 The PCR result of the Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048. The DNA sequence length is around 1900~2100 bp, so the PCR products should appear at 2100~2300 bp.

After we assemble the DNA sequences from the basic parts, we recombined each Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048 gene to pSB1C3 backbones and conducted PCR experiments to ensure the size of each of the parts. The DNA sequence length of the these parts are around 1900~2100 bp. For PCR experiments, the size of products should be approximately 2100~2300 bp. The Fig.2 below shows the correct size of this part, and proved that we successful ligated the sequence onto an ideal backbone.

Fig.3 Pcons+B0034+Lpp-OmpA-N+scFv(anti-HER2)+B0030+BFP+J61048



2. Transformation of single plasmid

Fig.4 Transformation of single plasmid

(1) Cell staining experiment: After inserting a part of the scFv gene into our E. coli, we were going to prove that our detectors have successfully displayed a functional scFv of anti-HER2. To prove this, we have decided to undergo the cell staining experiment by using our E. coli to detect the HER2 on the SKOV-3 cancer cell lines. SKOV-3 is a kind of epithelial cell that expressed markers such as HER2.

(2) Staining results:

Fig.5 As a result, there is no blue fluorescent E. coli stick on the cell’s surface as there is no specific scFv displayed around the E. coli.
Fig.6 There are blue fluorescent anti-HER2 E. coli stick on the cell’s surface as the anti-HER2 probes on E. coli successfully detect and bind with HER2.

Modeling

In the modeling part, we discovered the optimum protein production time by using the genetic algorithm in Matlab.
We want to characterize the actual kinetics of this Hill-function based model that accurately reflects protein production time.
When we have the simulated protein production rate, the graph of protein production versus time can be drawn. Thus, we get the optimum protein production time. Compared with the simulated protein production rate of time, our experiment data quite fit the simulation.


Fig.7 From this graph, the orange curve is the simulated protein expression. The blue curve is our experimental data. By comparing the orange curve and the blue curve, we speculated that the experimental error must have caused the undesired result.


Sequence and Features


Assembly Compatibility:
  • 10
    COMPATIBLE WITH RFC[10]
  • 12
    INCOMPATIBLE WITH RFC[12]
    Illegal NheI site found at 7
    Illegal NheI site found at 30
  • 21
    INCOMPATIBLE WITH RFC[21]
    Illegal BglII site found at 741
  • 23
    COMPATIBLE WITH RFC[23]
  • 25
    INCOMPATIBLE WITH RFC[25]
    Illegal NgoMIV site found at 451
    Illegal NgoMIV site found at 1831
  • 1000
    COMPATIBLE WITH RFC[1000]