Team:NTNU-Trondheim/Model

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Revision as of 12:52, 4 October 2013

Trondheim iGEM 2013

Modelling of the Pm/Xyls Promotor system

The Pm/Xyls promotor system is a positive regulator system where the regulator molcule, Xyls, is constitutivly produced. When Xyls binds to the inducer, m-toluic acid, this complex is able to bind to the Pm promoter(see figure 1). Binding to the promoter facilitates binding of RNA polymerase (RNAp) making it active (RNApa). This enables the production of mRNA in (1) elongation step, and (2) translation. The mRNA will be translated into the recombinant protein, or in our case, RFP. Over time mRNA and RFP will be degraded to some extent.

Figure: Overview of how the Pm/Xyls Promotor system funtions. Production of recombinant protein is dependent on access to the indicer m-toluic acid.

The reaction equations in the Pm/Xyls promotor system are listed below. The degradation of mRNA and RFP will inhibit an exponential growth in their production, and after some time the levels of mRNA and RFP will stabilize around a steady state.

Figure:

A deterministic simulation of the system was run on Cain software with the parameters as viewed in figure 2. Only the number/consentration of the inducer was varieted. A .zip file with all of the modeling files can be downloaded [http://https://2013.igem.org/File:NTNU_Trondheim_modelingfiles.zip here] .The csv files are named according to the number of inducer that was applied in the deterministic simulation. Stochastic analysis of the system, also using the Cain software, shows that fluctuations are much larger when the inducer level is low. This is to be expected, since stochastic effects are known to be important in many cases where molecule numbers become small (much less than 100). The overall (and average)results of the stochastic simulations agreed with the deterministic ones, and for simplicity we only show the deterministic data.

Figure 2: Overview of parameters applied in the Cain program

The labels of the species (reaction molecules) are as follow: XLS = Xyls, inducer = m-toluic acid, XLSinducer = complex of XylS and m-toluic acid, DNA = plasmic DNA, XDNA = Binding of XLSindicer to the DNA, RNAp = RNA polymerase, RNApa = active RNA polymerase, E = elongation, RFP = red fluorescent protein.

Results

Varies starter concentration of inducer (0, 0.06, 0.3, 0.6, 1.2 and 6 µM) gave the result as indicated in figure 3 and the table below.

Figure 3: Different concentrations of inducer (0 to 6 uM) was applyed in the deterministic simulations, yeilding different amounts of RFP.

Start consentration (µM) of inducer	Molecules of inducer	Consentration (µM) of RFP (steady state)	Molcules of RFP (steady state)
0	0	0	0
0.06	100	0.51	850
0.3	500	0.63	1050
0.6	1000	0.66	1100
1.2	2000	0.68	1135
6.0	10 000	0.71	1180

As the levels of indicer increases, the steady state of the protein product increases up until it reaches 1200 molcules. An huge increase in inducer over 10 000 molecules will not give a RFP steady state of over 1200. The steady state is determined by the rates K4, K5, D1 and D2. A key discovery in doing the modeling of this system is that the follwing statments are crucial: K1

@@ Line 67: / Line 67: @@
 <p>
-The Pm/Xyls promotor system is a positive regulator system where the regulator molcule, Xyls, is constitutivly produced. When Xyls binds to the inducer m-toluic acid this complex binds to the Pm promotor(see figure 1). Binding to the promotor facilitates binding of RNA polymerase (RNAp) making it active (RNApA). This starts production of mRNA in an elongation step. The mRNA will be translated into the recombinant protein, or in our case, RFP. Over time mRNA and RFP will be degraded to som extent.</p> <br><br>
+The Pm/Xyls promotor system is a positive regulator system where the regulator molcule, Xyls, is constitutivly produced. When Xyls binds to the inducer, m-toluic acid, this complex is able to bind to the Pm promoter(see figure 1). Binding to the promoter facilitates binding of RNA polymerase (RNAp) making it active (RNApa). This enables the production of mRNA in (1) elongation step, and (2) translation. The mRNA will be translated into the recombinant protein, or in our case, RFP. Over time mRNA and RFP will be degraded to some extent.</p> <br><br>
 <div class="col4" style="background-color:white;><a href="https://static.igem.org/mediawiki/2013/d/d1/Modelpic.jpg"> <img src="https://static.igem.org/mediawiki/2013/d/d1/Modelpic.jpg" width="500">
@@ Line 78: / Line 78: @@
-<p>The reaction equations in the Pm/Xyls promotor system are listed below. The degradation of mRNA and RFP will inhibit an exponential production of these and after time the levels of mRNA and RFP will stabilize around a steady state.</p><br><br>
+<p>The reaction equations in the Pm/Xyls promotor system are listed below. The degradation of mRNA and RFP will inhibit an exponential growth in their production, and after some time the levels of mRNA and RFP will stabilize around a steady state.</p><br><br>
 <div class="col4" style="background-color:white;><a href="https://static.igem.org/mediawiki/2013/c/c6/Modeleq.jpg"> <img src="https://static.igem.org/mediawiki/2013/c/c6/Modeleq.jpg" width="303">
@@ Line 90: / Line 90: @@
-A deterministic simulation of the system was run on <a href="http://cain.sourceforge.net/">Cain software</a> with the parameters as viewed in figure 2. Only the number/consentration of the inducer was varieted. A .zip file with all of the modeling files can be downloaded [[Media:NTNU_Trondheim_modelingfiles.zip|here]]. The csv files are named according to the number of inducer that was applied in the deterministic simulation.<br><br>
+A deterministic simulation of the system was run on <a href="http://cain.sourceforge.net/">Cain software</a> with the parameters as viewed in figure 2. Only the number/consentration of the inducer was varieted. A .zip file with all of the modeling files can be downloaded
+[http://https://2013.igem.org/File:NTNU_Trondheim_modelingfiles.zip here]
+.The csv files are named according to the number of inducer that was applied in the deterministic simulation. Stochastic analysis of the system, also using the Cain software, shows that fluctuations are much larger when the inducer level is low. This is to be expected, since stochastic effects are known to be important in many cases where molecule numbers become small (much less than 100). The overall (and average)results of the stochastic simulations agreed with the deterministic ones, and for simplicity we only show the deterministic data. <br><br>
 <div class="col4" style="background-color:white;><a href="https://static.igem.org/mediawiki/2013/0/08/Cainpic.jpg"> <img src="https://static.igem.org/mediawiki/2013/0/08/Cainpic.jpg" width="303">
@@ Line 112: / Line 114: @@
 <p>
-Varies starter consentration of inducer (0, 0.06, 0.3, 0.6, 1.2 and 6 &micro;M) gave the result as indicated  in figure 3 and the table below.
+Varies starter concentration of inducer (0, 0.06, 0.3, 0.6, 1.2 and 6 &micro;M) gave the result as indicated  in figure 3 and the table below.
 <div class="col4" style="background-color:white;><a href="https://static.igem.org/mediawiki/2013/9/98/Model123.jpg"> <img src="https://static.igem.org/mediawiki/2013/9/98/Model123.jpg" width="303">
-  <p style="text-align:center; color:black; "> Figure 3: Different consentrations of inducer (0 to 6 uM) was applyed in the deterministic simulations, yeilding different amounts of RFP.</p> </div>
+  <p style="text-align:center; color:black; "> Figure 3: Different concentrations of inducer (0 to 6 uM) was applyed in the deterministic simulations, yeilding different amounts of RFP.</p> </div>
 <br>
 </p>