Difference between revisions of "Part:BBa K4439015"

Revision as of 12:10, 12 October 2022

SR-Avitag-10xHis

Abstract

Sequence and Features

Protein Characterization

Usage and Biology

Modeling

Protein Modeling

Modeling the amount of proteins to coat a cellulose aerogel

We had different parameters that needed to be considered and we listed the most of them in (Table. 1)

Table 1: Table for the parametric model .

In the proposed model we would like to coat geometrically our aerogel surface with different CBD globular entities. Since they are the most probable point of anchoring they will represent an entire protein in the counting of the amount of proteins. We supposed that the proteins would be placed in an adjacent manner.

First step was to consider the aerogel as a perfect cylinder that will be coated by the proteins. The surface of the cylinder is simplified to two circles and an elongated rectangle (fig2). We proceeded to a geometrical filling of the surface.

Figure 2 | Aerogel simplified representation as a perfect cylinder.

The attaching CBD region was taken from the above model 4JO5 to study its hydrodynamic characteristics using the Hullrad algorithm. This program was used to get specific useful information on the protein 4JO5:

Table 2 | Hullrad computation for CBD, AJO5

Using the values from (Table. 2), we populated the different surfaces of the aerogel with circular proteins using some simple geometry equations. The two values of AVSR and MD were studied in the example. Considering the protein radius and aerogel diameter, we came up with an iterative algorithm in three steps: Step 1: Populate the outer peripheral of the bigger cylinder:

We used the following angular equation to compute the angle of placement of the first small protein circle in the aerogel bigger circle:

             alpha  = 1 /π |arcsin(r(proteins)/(r(aerogel)-  r(proteins)))*180|			(1)

where r(proteins) and r(aerogel) represent respectively the radius of the proteins and the aerogel.

Step2: Compute the number of cylinders that can populate the peripheral of our the bigger circle:

                  nb(circles) =[360/(2*alpha)] 			 		(2)

where [x] is the greatest integer function s.

Step 3: Define a secondary circle that has the next small circles:

We iterated the new radius until we could not fit any small circles in the area (fig.12):

                      r(new)=r(previous)-( 2 *r(small)) 				(3)

where r(previous) is the large radius of the previous iteration.

Ending condition :

                     r(previous)< r(small)

Figure 3 | Populating circles with tiny cylinders zoom at 150 Å aerogel surface .

In (fig.3), we saw clearly how the different circles were placed inside the allocated surface of aerogel. We extended the reasoning to filling the rectangular lateral surface.

For the lateral specific surface, the operation is described as following:

Step 1: Divide the width of the rectangle by the number of small protein circles that fits in the line :

                        nb(circles for width) = [W2 * r(proteins)]			(4)

where W is the width of the rectangle, r(proteins) represents the radius of the proteins and [x] is the greatest integer function as described above.

Step 2: Multiply the above number by the number of lines that can fit in the height of the rectangle:

                              nb(circles for rectangle) = [h2* r(small)] * nb(circles for length)	 (5)

where h represents the height of the rectangle, [x] is the greatest integer function as described above.

By taking the parameters of the aerogel from (Table.1) and the parameters of the CBD from (Table.2) we got the following output in number of molecules and in number of molar:

Table 3: Results of the coating computations.

• The values found in (Table.3) were useful to define the protein solution volume that we soaked the hydrogels or the aerogels with.

Results

Bacterial Transformation

Protein Purification

Cloning by PCR and KLD

The elution of the proteins of interest in such high amounts of imidazole certainly comes from the double His-tag that composes our proteins. To remove it from the received plasmids, we performed some cloning experiments to obtain better yields in the future purifications. In the case of the 03a plasmid (containing GFP) and the 01b plasmid (containing SR), we performed KLD cloning. We amplified the plasmids by PCR without the undesired sequence, and we re-ligated them back by doing a KLD. The KLD reaction allows efficient phosphorylation, intramolecular ligation and template removal in a single 5-minute reaction step at room temperature.

Figure 5 | Cloning experiment results for removal of the added site for 01b (SR) and 03a (GFP). (A) Agarose gel electrophoresis of PCR products of the 01b and the 03a constructs plasmid amplified without the GeneScript additional tags for KLD cloning. (B) Agarose gel electrophoresis for restriction analysis of the 01b and the 03a constructs plasmid after the ligation by KLD. (C) Plasmid map from the sequencing result of the obtained new SR plasmid. (D) Plasmid map from the sequencing result of the obtained new GFP plasmid.

• Analysis

On the agarose gel we ran with the PCR products (fig 5.A), we observed bands around 7000 bp which are the expected sizes and means that we successfully removed the added site. After the KLD, we ran a second agarose gel with fragments obtained by cutting the new plasmids with different restriction enzymes (fig 5.B). We obtained similar patterns as the ones expected. By purifying and sequencing the plasmids(fig 5.C & D), we obtained the exact same sequence as designed. This confirmed that we removed the added site and re-ligated the DNA to obtain the good plasmids.

With several minipreps we obtained big quantities of these new plasmids. We therefore transformed new BL21(DE3) E.Coli competent cells to start the protein production. For the GFP fusion protein, the pellet after the first centrifugation step was not green, which means that there was no expression of our protein of interest. In a similar way, we couldn’t see a significant protein expression after the IPTG induction for the SR fusion protein. Even if the purification was performed, nothing would be visible in the elution lanes of the SDS-PAGE which suggests that we didn’t successfully purify our new SR fusion protein.

The cloning with PCR amplification and KLD for ligation was a success, but the bacteria were not able to produce our fusion proteins. Our hypothesis is that the number of bp between the RBS and the first Methionine was not optimal for the bacteria. However, by lack of time, we decided not to troubleshoot the reasons for this failure, and we concentrated on the protein production to use them in our further experiments.