Revision as of 07:09, 22 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<a href="https://parts.igem.org/Part:BBa_K1694010">BBa_K1694010</a> connected to Anti-EGFR<a href="https://parts.igem.org/BBa_K1694004">BBa_K1694004</a> , we were able to display the Anti-EGFR on the E. coli outer membrane continuously.

This year we want to create a customized platform so we generated two libraries, Pcon+RBS+OmpA-scFv and Pcons+RBS+Fluorescence+Ter. From these libraries, we can select one plasmid per library to cotransform into the 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

Fig.2The 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.

After assemble 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 part. The DNA sequence length of these parts is around 1100~1300 bp. In this PCR experiment, the scFv products size should be near at 1300~1500 bp. The Fig. 2 showed the correct size of the scFv, and proved that we successful ligated the scFv sequence onto an ideal backbone.

Fig.3Pcons+B0034+Lpp-OmpA-N+scFv(anti-EGFR)

2.Co-transform (Two plasmids)

(1) Parts:

Fig.4 Pcons+RBS+Lpp-OmpA-N+Anti-EGFR

Fig.5 Pcons+RBS+RFP+Ter

Fig.6 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.7 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.8 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.9 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.10 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.11 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.12 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.13 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