Revision as of 06:58, 22 September 2015

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

Introduction:

Fig.1 Pcons+RBS+Lpp-OmpA-N+anti-HER2

This year we want to supply a customized platform. We provide two libraries of Pcon+RBS+OmpA-scFv and Pcons+RBS+Fluorescence+Ter for customers. Therefore, customers can choose any scFv and fluorescence proteins combination whatever they want. Our team will then co-transform the two plasmids into E. coli, which helps us tailor our product to the wishes of our customers.

Experiment

1.Cloning
After assembling the DNA sequences from the basic parts, we recombined each Pcons+RBS+Lpp-OmpA-N+ScFv gene to pSB1C3 backbones and conducted a PCR experiment to check the size of each parts. The DNA sequence length of these parts is around 1100~1300 bp. In this PCR experiment, the PCR products' size should be near at 1300~1500 bp. The Fig. 3 showed the correct size of this part, and proved that we successfully ligated the sequence onto an ideal backbone.

Fig.3 The PCR result of the Pcons+B0034+Lpp-OmpA-N+ScFv. The DNA sequence length is around 1100~1300 bp, so the PCR products should appear at 1300~1500 bp.

Fig.4 Pcons+RBS+Lpp-OmpA-N+ScFv(anti-HER2)

2.Cell staining experiment
After cloning the part of anti-HER2, we were able to co-transform anti-HER2 with different fluorescence protein into our E. coli.
The next step was to prove that our co-transformed product have successfully displayed ScFv of anti-HER2 and expressed fluorescence protein.
To prove this, we conducted the cell staining experiment by using the co-transformed E. coli to detect the HER2 in the cancer cell line.

Fig.9 As results,there is no red fluorescent E. coli sticking on the cell’s surface as there is no specific scFv displayed around the E.coli.

There are red fluorescent anti-HER2 E. coli sticking on the cell’s surfaces as the anti-HER2 probes on E. coli successfully detect and bind with HER2.

Fig.11 As results,there is no green fluorescent E. coli sticking on the cell’s surface as there is no specific scFv displayed around the E.coli.

There are green fluorescent anti-HER2 E. coli sticking on the cell’s surfaces as the anti-HER2 probes on E. coli successfully detect and bind with HER2.

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 (Fig.1) (Fig.2) (Fig.3). Thus, we'll know the time of optimum production and the simulated one are fitted or not.

Co-transform

From this graph, the orange curve is the simulated protein expression. The blue curve is our experimental data. By comparing the orange curve to the blue one, the blue curve quite fits the simulation. The orange curve reaches peak after growing about 18 hours. Thus, we can know that the E.Cotector can have maximum efficiency at this point.

From this graph, the orange curve is the simulated protein expression. The blue curve is our experimental data. By comparing the orange curve to the blue one, the blue curve quite fits the simulation. The orange curve reaches peak after growing about 15 hours. Thus, we can know that the E.Cotector can have maximum efficiency at this point.

From this graph, the orange curve is the simulated protein expression. The blue curve is our experimental data. By comparing the orange curve to the blue one, the blue curve quite fits the simulation. The orange curve reaches peak after growing about 15 hours. Thus, we can know that the E.Cotector can have maximum efficiency at this point.

Sequence and Features