Team:Imperial College London/Modelling/Protein Display/Detailed Description

From 2010.igem.org

(Difference between revisions)
m
m
Line 10: Line 10:
|style="font-family: helvetica, arial, sans-serif;font-size:2em;color:#ea8828;"|Surface Protein Model
|style="font-family: helvetica, arial, sans-serif;font-size:2em;color:#ea8828;"|Surface Protein Model
|-
|-
-
|This model consists of 5 parts that had to be developed:
+
|<html>This model consists of 5 parts that had to be developed:
<ol>
<ol>
  <li>Identification of all active and relevant elements of the isolated part of the system.</li>
  <li>Identification of all active and relevant elements of the isolated part of the system.</li>
Line 39: Line 39:
The optimal peptide concentration required to activate ComD is 10 ng/ml <a href="http://ukpmc.ac.uk/backend/ptpmcrender.cgi?accid=PMC40587&blobtype=pdf">[1]</a>. This is the threshold value for ComD activation. However, the minimum concentration of peptide to give a detectable activation is 0.5ng/ml.  
The optimal peptide concentration required to activate ComD is 10 ng/ml <a href="http://ukpmc.ac.uk/backend/ptpmcrender.cgi?accid=PMC40587&blobtype=pdf">[1]</a>. This is the threshold value for ComD activation. However, the minimum concentration of peptide to give a detectable activation is 0.5ng/ml.  
<br />
<br />
-
The threshold for the minimal activation of the receptor is c<sub>th</sub>=4.4658x10<sup>-9</sup> mol/L. Click on the button below to see the calculations.
+
The threshold for the minimal activation of the receptor is c<sub>th</sub>=4.4658x10<sup>-9</sup> mol/L.  
-
 
+
-
<div id="wrapper">
+
-
<div class="accordionButton">Converting 10 ng/ml to 4.4658x10<sup>-9</sup> mol/L</div>
+
-
  <div class="accordionContent">
+
     <ul>
     <ul>
       <li>The mass of a peptide is 2.24kDa = 3.7184x10<sup>-21</sup>g.</li>
       <li>The mass of a peptide is 2.24kDa = 3.7184x10<sup>-21</sup>g.</li>
Line 50: Line 46:
     <li>The threshold for minimal activation of receptor is 2.2329x10<sup>-10</sup> mol/L.</li>
     <li>The threshold for minimal activation of receptor is 2.2329x10<sup>-10</sup> mol/L.</li>
     </ul>
     </ul>
-
  </div>
 
-
</div>
 
<br/><br/>
<br/><br/>
-
 
<h2>4. Control volume selection</h2>
<h2>4. Control volume selection</h2>
Note that this enzymatic reaction is modelled outside the cell. Hence, it is important to take into account the cell boundaries. It is worth considering whether diffusion or fluid movements will play a significant role.
Note that this enzymatic reaction is modelled outside the cell. Hence, it is important to take into account the cell boundaries. It is worth considering whether diffusion or fluid movements will play a significant role.
-
Initially, we defined a control volume assuming that bacteria would grow in close colonies on the plate. The details can be seen by clicking on the button below.
+
Initially, we defined a control volume assuming that bacteria would grow in close colonies on the plate.  
-
<br />
+
 
-
<div id="wrapper">
+
This control volume is considered to be wrong, but the details were kept for reference.<br/>
-
<div class="accordionButton">Initial Choice of Control Volume</div>
+
-
  <div class="accordionContent">
+
-
<b>Control volume initial choice</b><br/>
+
-
This control volume is considered to be wrong, but the details were kept for the reference.<br/>
+
The control volume:
The control volume:
Line 199: Line 188:
</div>
</div>
<html>
<html>
-
 
-
 
-
 
<h2>References</h2>
<h2>References</h2>

Revision as of 19:53, 17 October 2010

Temporary sub-menu:

Objectives; Detailed Description; Parameters & Constants; Results & Conclusion;Download MatLab Files;

Surface Protein Model
This model consists of 5 parts that had to be developed:
  1. Identification of all active and relevant elements of the isolated part of the system.
  2. Identification of interactions between the identified elements.
  3. Identification of threshold concentration of auto inducing peptide (AIP) needed for activation of the receptor.
  4. Defining a control volume around the bacterial cell (after cleavage, the surface protein will float around in the extracellular environment).
  5. Determining the surface protein production to estimate the maximum abundance on the bacterial surface.

1. Elements of the system

  1. The surface protein consists of a cell wall binding domain, linker, AIP (Auto Inducing Peptide). It is expressed by constitutive gene expression. It was assumed that the bacteria would be fully grown before carrying out the detection so the cell wall would be covered with as many surface proteins as the cell can maintain.
  2. Schistosoma elastase (enzyme released by the parasite) cleaves the AIP from the cell wall binding domain at the linker site. In the laboratory we used TEV protease as we could not get hold of Schistosoma elastase, so the model was adjusted appropriately (TEV enzyme kinetic parameters were used).
  3. The ComD receptor is activated by a sufficiently high AIP concentration. Once activated, ComD signals into the cell to activate the colour response.

2. Interactions between elements

Apart from the proteins being expressed from genes, there was only one more chemical reaction identified in this part of the system. This is the cleavage of proteins, which is an enzymatic reaction:
  • E+S ↔ ES → E+P
  • Substrate (S) = Protein
  • Enzyme (E) = TEV (Protease)
  • Product (P) = Peptide

This enzymatic reaction can be rewritten as partial differential equations (PDEs), which is of similar form as the 1-step amplification model. However, most of the constants and initial concentrations are different. For detailed description and derivation of PDEs, please refer to "Detailed Description" part of Modelling Output.

3. Threshold concentration of AIP

The optimal peptide concentration required to activate ComD is 10 ng/ml [1]. This is the threshold value for ComD activation. However, the minimum concentration of peptide to give a detectable activation is 0.5ng/ml.
The threshold for the minimal activation of the receptor is cth=4.4658x10-9 mol/L.
  • The mass of a peptide is 2.24kDa = 3.7184x10-21g.
  • The number of molecules in one ml is 10ng/3.7184x10-21g = 2.6893x1012. In a litre, the number of molecules is 2.6893x1015molecules/ml.
  • Dividing this value by Avogadro's constant gives the threshold concentration of cth=4.4658x10-9 mol/L.
  • The threshold for minimal activation of receptor is 2.2329x10-10 mol/L.


4. Control volume selection

Note that this enzymatic reaction is modelled outside the cell. Hence, it is important to take into account the cell boundaries. It is worth considering whether diffusion or fluid movements will play a significant role. Initially, we defined a control volume assuming that bacteria would grow in close colonies on the plate. This control volume is considered to be wrong, but the details were kept for reference.
The control volume: The inner boundary is determined by the bacterium (proteins that have been displayed and cleaved cannot diffuse back into the bacterium). The outer boundary is time scale dependent. We have assumed that after mass cleavage of the display proteins by TEV, many of these AIPs will bind to the receptors quickly (e.g. 8 seconds). Our volume is determined by the distance that the AIPs could travel by diffusion within that short time. In this way, we can ensure that the concentration of AIPs outside our control volume is approximately 0 (after a given time interval). This approach is not very accurate and can lead to false negative conclusions (as in reality there will be a concentration gradient, with the highest conentration on the cell wall).
Control volume (Volume of B.sub to be excluded. x indicates the distance travelled by AIPs from the surface in time t).
Control volume (Volume of B.sub to be excluded.
x indicates the distance travelled by AIPs from the surface in time t).


Difussion distance was calculated using Fick's 1st Law: x=√2Dt, where: x - diffusion distance, D - diffusion constant, t - time of diffusion
Daverage = 10.7x10-11 m2s-1 for a protein in agarose gel for pH=5.6 [3]
t = 8s (arbitrarily chosen)
This gives: x = 4.14x10-5m
The control volume can be calculated by adding 2x to the length and the diamter of the cell.
This gives a control volume (CV) = 4.81x10-7m3


We realized that our initial choice of control volume was not accurate because we had assumed that the bacteria was the medium. However, in reality bacteria live in colonies very close to each other. Since our bacteria was meant to be used in suspension we had to reconsider this issue.


Using CFU to estimate the spacing between cells
CFU stands for Colony-forming unit. It is a measure of bacterial numbers. For liquids, CFU is measured per ml. We already have data of CFU/ml from the Imperial iGEM 2008 team, so we could use this data to estimate the number of cells in a given volume using a spectrometer at 600nm wavelength. The graph below is taken from the Imperial iGEM 2008 Wiki page [4].

CFU/ml vs. Optical Density at 600nm (OD600).
CFU/ml vs. Optical Density at 600nm (OD600).


The graph shows values of CFU/ml for different optical densities. The range of CFU/ml is therefore between 0.5x10^8 - 5x108.
In this calculation, we assumed that only one cell will grow and become one colony (i.e. no more than one cell will form no more than one colony). Therefore, the maximum number of cells in 1ml of solution is 5x108. Taking the volume of 1 ml = 10-3 dm3 and dividing by the (maximum) number of cells in 1ml gives the average control volume (CV) around each cell: 2x10-12 dm3/cell. For simplicity, we choose the control volume to be cubic. Taking the third root of this value gives the length of each side of the control volume.

Side length of CV = y = 1.26x10-4 dm = 1.26x10-5 m.

Choice of Control Volume allows simplifications
  • Firstly, assume that the cells will be placed in the centre of the CV. Hence, after cleavage the protein will have an average distance of y/2 to travel in order to cross the boundary of the CV. This is calculated to happen within 0.18s. Even if the bacterium was not placed in the centre of the CV, the protein will travel from one end of the cube to the other in less than one second (~0.74s). Hence, it will take between 0.18 and 0.74s for the concentration of AIPs around the cell to be uniform. Noticing that these time values are very small, we can approximate our model to have a uniform concentration across the volume. Since we are underestimating the value of AIP concentration right next to the cell's surface, we are overestimating the time required for the AIP concentration to reach the threshold level.
  • We can neglect the diffusive fluxes across the CV border (see figure below). Assuming that adjacent cells are producing the peptide at the same rate and that the concentration of TEV is the same around the cell, then the fluxes should be of the same value giving a net flux of zero. Hence, we can neglect diffusion and have our model limited to one bacterium.

Figure showing 2 cells with their control volumes.
Figure showing 2 cells with their control volumes.



Limitations resulting from our assumptions
Most of our assumptions concerning the control volume were plausible due to the careful choice of cell density = 5x108 CFU/ml.
If the density is varied significantly, then our simplifications might not hold any longer. However, this does not mean that our system cannot function for lower cell densities. Our model might not be very accurate for predicting situations with cell densities that are much higher or lower than 5x108 CFU/ml.
It was decided that the model should not be used for cell densities lower 107 CFU/ml. Below this value AIPs take more than 1 second to diffuse accross half of a side-length of the control volume (assuming that the cell is inside control volume). We agreed that below 10^7 CFU/ml the approximation about uniform concentration throughout the control volume could be wrong and that the concentration gradients could become more significant. If our model was applied to this particular situation, it would possibly overestimate the time taken to activate the receptor.
It is not possible to increase the cell density by more than 109 CFU/ml because of the size of a cell.

5. Protein production (23/08/2010)

  • The paper mentions that each cell displays 2.4x105 peptides. [2]
  • 2.4x105 molecules = 2.4x105/6.02x1023 mol = 0.398671x10-18 mol
  • Volume of B.sub: 2.79x10-15 dm3
  • Concentration = [mol/L]
  • c = 1.4289x10-4 mol/dm3. This is the concentration of protein that will be displayed on a single cell of B.sub.

Hence, we can deduce that the final concentration that the protein expression will tend to is: c = 1.4289x10-4 mol/dm3 = cfinal.

Therefore, we can model the protein production by transcription and translation and adjust the production constants so that the concentration will tend towards cfinal.
Using a similar model to the simple production of Dioxygenase for the Output Amplification Model (Model preA), we obtain the following graph:

Production of protein by transcription and translation.
Production of protein by transcription and translation.


The degradation rate was kept constant, and the production rate was changed according to the final concentration.

Protein production in Control Volume
The previously determined constants of protein production in B.sub to obtain the concentration of proteins are not valid in the Control Volume. It has to be adjusted (multiplied) by the following factor:
factor=Vbacillus/VCV = 5.7974x10-6 (for the particular numbers presented above)

Production of protein by transcription and translation in control volume.
Production of protein by transcription and translation in control volume.

References

  1. Havarstein, L., Coomaraswamy, G. & Morrison, D. (1995) An unmodified heptadecapeptide pheromone induces competence for genetic transformation in Streptococcus pneumoniae. Proc. Natl. [Online] 92, 11140-11144. Available from: http://ukpmc.ac.uk/backend/ptpmcrender.cgi?accid=PMC40587&blobtype=pdf [Accessed 27th August 2010]
  2. Kobayashi, G. et al (2000) Accumulation of an artificial cell wall-binding lipase by Bacillus subtilis wprA and/or sigD mutants. FEMS Microbiology Letters. [Online] 188(2000), 165-169. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1574-6968.2000.tb09188.x/pdf [Accessed 27th August 2010]
  3. Gutenwik, J., Nilsson, B. & Axelsson, A. (2003) Determination of protein diffusion coefficients in agarose gel with a diffusion cell. Biochemical Engineering Journal. [Online] 19(2004), 1-7. Available from: http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V5N-4B3MXDC-2-K&_cdi=5791&_user=217827&_pii=S1369703X03002377&_origin=search&_coverDate=07%2F01%2F2004&_sk=999809998&view=c&wchp=dGLzVtb-zSkzS&md5=c17d0e7320f03931006f9b1a10a438b9&ie=/sdarticle.pdf [Accessed August 20th 2010]
  4. Imperial College London (2008) Biofabricator Subtilis - Designer Genes. [Online] Available from: https://2008.igem.org/Imperial_College/18_September_2008 [Accessed 1st September 2010]

Retrieved from "http://2010.igem.org/Team:Imperial_College_London/Modelling/Protein_Display/Detailed_Description"