Revision as of 19:48, 19 September 2015

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

Introduction:

Fig.1 Pcons+B0034+Lpp-OmpA-N+scFv(Anti-EGFR)

By ligating the constitutive promoter (BBa_J23101), strong ribosome binding site (BBa_B0034) and Lpp-OmpA-scFv, we were able to display scFv on the E. coli outer membrane continuously.

Co-transform (Two plasmids)

Having this part, we can co-transform with other parts in order to produce color as the detection signal.

Fig.5 Co-transform (Two plasmids)

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

Experiment:

1.Cloning

After receiving the DNA sequences from the gene synthesis company, we recombined each scFv gene to PSB1C3 backbones and conducted a PCR experiment to check the size of each of the scFvs. The DNA sequence length of the scFvs are around 600~800 bp. In this PCR experiment, the scFv products size should be near at 850~1050 bp. The Fig. showed the correct size of the scFv, and proved that we successful ligated the scFv sequence onto an ideal backbone.

2.Co-transform (Two plasmids)

(1) Parts:

Fig.6 Pcons+RBS+Lpp-OmpA-N+Anti-EGFR

Fig.7 Pcons+RBS+RFP+Ter

Fig.8 Pcons+RBS+GFP+Ter

(2) Cell staining experiment:

After cloning the part of anti-EGFR, we were able to co-transform anti-EGFR 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-EGFR and expressed fluorescence protein.
To prove this, we conducted the cell staining experiment by using the co-transformed E. coli to detect the EGFR in the cancer cell line.

(3) Staining results：

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

Fig.10 There are green fluorescent anti-EGFR E. colis stick on the cell’s surfaces as the anti-EGFR probes on E. colis successfully detect and bind with EGFR.

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

Fig.12 There are red fluorescent anti-EGFR E. colis stick on the cell’s surfaces as the anti-EGFR probes on E. colis successfully detect and bind with EGFR.

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.

Co-transform (Two plasmids)

Fig.23 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, the blue curve quite fit 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.

Fig.24 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, the blue curve quite fit the simulation. The orange curve reaches peak after growing about 16 hours. Thus, we can know that the E. Cotector can have maximum efficiency at this point.

Fig.25 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, the blue curve quite fit the simulation. The orange curve reaches peak after growing about 6 hours. Thus, we can know that the E. Cotector can have maximum efficiency at this point.

Usage and Biology

Sequence and Features