Difference between revisions of "Part:BBa K1694053"
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− | After assemble the DNA sequences from the basic parts, we recombined each Pcons+B0034+Lpp-OmpA-N+scFv+B0034+amilCP+B0015 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 2000~2100 bp. In this PCR experiment, the PCR products size should be near at 2200~2300 bp. The Fig.3 showed the correct size of this part, and proved that we successful ligated the sequence onto an ideal backbone. | + | After assemble the DNA sequences from the basic parts, we recombined each Pcons+B0034+Lpp-OmpA-N+scFv+B0034+amilCP+B0015 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 2000~2100 bp. In this PCR experiment, the PCR products size should be near at 2200~2300 bp. The '''Fig.3''' showed the correct size of this part, and proved that we successful ligated the sequence onto an ideal backbone. |
Revision as of 17:22, 20 September 2015
Pcons+B0034+Lpp-OmpA-N+scFv(Anti-VEGF)+B0034+amilCP+B0015
Introduction
To observe that our scFv can bind onto the cancer cells, we connected each scFv with different chromoprotein. Color proteins are commonly used as reporter gene for observation. However, chromoproteins can be conveniently observed by naked eye without the help of instruments. Therefore, when we conducted cell staining experiment, we can observe the binding distribution by color right after the experiments have finished.
Experiment
After assemble the DNA sequences from the basic parts, we recombined each Pcons+B0034+Lpp-OmpA-N+scFv+B0034+amilCP+B0015 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 2000~2100 bp. In this PCR experiment, the PCR products size should be near at 2200~2300 bp. The Fig.3 showed the correct size of this part, and proved that we successful ligated the sequence onto an ideal backbone.
Modeling
In the modeling part, we discover 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.
Sequence and Features
- 10COMPATIBLE WITH RFC[10]
- 12INCOMPATIBLE WITH RFC[12]Illegal NheI site found at 7
Illegal NheI site found at 30 - 21COMPATIBLE WITH RFC[21]
- 23COMPATIBLE WITH RFC[23]
- 25INCOMPATIBLE WITH RFC[25]Illegal NgoMIV site found at 451
Illegal NgoMIV site found at 1962 - 1000COMPATIBLE WITH RFC[1000]