Tokyo/Formulation/1.toggle model

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__NOTOC__
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<br>[[Tokyo/Works|Works top]]  0.[[Tokyo/Works/Hybrid promoter|Hybrid promoter]]  1.[[Tokyo/Works/Formulation |Formulation]]  2.[[Tokyo/Works/Assay |Assay1]]  3.[[Tokyo/Works/Simulation |Simulation]]  4.[[Tokyo/Works/Assay2 |Assay2]]  5.[[Tokyo/Works/Future works |Future works]]
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<br>[[Tokyo/Works|Works top]]&nbsp;&nbsp;&nbsp;0.[[Tokyo/Works/Hybrid promoter|Hybrid promoter]]&nbsp;&nbsp;&nbsp;'''1.[[Tokyo/Works/Formulation |Formulation]]'''&nbsp;&nbsp;&nbsp;2.[[Tokyo/Works/Assay |Assay1]]&nbsp;&nbsp;&nbsp;3.[[Tokyo/Works/Simulation |Simulation]]&nbsp;&nbsp;&nbsp;4.[[Tokyo/Works/Assay2 |Assay2]]&nbsp;&nbsp;&nbsp;5.[[Tokyo/Works/Future works |Future works]]
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'''Assay1'''
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<br><br>[[Tokyo/Formulation/1.toggle model |Step1]]&nbsp;&nbsp;&nbsp;[[Tokyo/Formulation/2.toggle model with hybrid promoter |Step2]]&nbsp;&nbsp;&nbsp;[[Tokyo/Formulation/3.AHL-experssing model|Step3]]  
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<br>[[Tokyo/Formulation/1.toggle model |Step1]]  [[Tokyo/Formulation/2.toggle model with hybrid promoter |Step2]]  [[Tokyo/Formulation/3.AHL-experssing model|Step3]]  [[Tokyo/Formulation/4.population model|Step4]]  [[Tokyo/Formulation/5.stochastic differential equation model with poisson random variables|Step5]]
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<br>
<br>
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== 1.toggle model ==
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== 1.Single cell model:mutual inhibition ==
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First,the ordinary differential equations(ODEs) of the toggle switch were derived as
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First, the ordinary differential equations (ODEs) of the toggle switch were derived as
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<br>[[Image:expression1-1.jpg|200px|left|thumb|Ex1-1]]  [[Image:parameter1-1.jpg|200px|]]  
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<br>[[Image:expression1-1.jpg|200px|left|thumb|Ex1-1 ]]  [[Image:parameter1-1.jpg|200px|]]  
<br>These equations were normalized as follows:
<br>These equations were normalized as follows:
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<br>[[Image:expression1-2.jpg|200px|none|thumb|Ex1-2]]
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<br>[[Image:expression1-2.jpg|200px|none|thumb|Ex1-2 ]]
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<br>In the steady state,time derivatives are zero:
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<br>In the steady state, time derivatives are zero:
<br>[[Image:expression1-3.jpg|80px|none|thumb|Ex1-3]]
<br>[[Image:expression1-3.jpg|80px|none|thumb|Ex1-3]]
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<br>As a result,the nullclines of this system were derived as
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<br>As a result, the nullclines of this system were derived as
<br>[[Image:Siki2.jpg|200px|none|thumb|Ex1-4]]
<br>[[Image:Siki2.jpg|200px|none|thumb|Ex1-4]]
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<br>which indicate the nullclines of the system shown in Fig 1.1.A-C.Where about parameters,we use three sets of parameters.
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<br>which indicate the nullclines of the system shown in Fig 1.1.A-C. Where about parameters, we use three sets of parameters.
<br>  A)the maximum expression rate of repressor A and repressor B is balanced,and hill coefficient of both A and B is three.
<br>  A)the maximum expression rate of repressor A and repressor B is balanced,and hill coefficient of both A and B is three.
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<br>[[Image:parameter1-2.jpg|150px|center|thumb|Tble1.A]]
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<br>[[Image:parameter1-2.jpg|150px|center|thumb|Table1.A]]
<br>  B)the maximum expression rate of repressor A and repressor B is equal,and hill coefficient of A is one.
<br>  B)the maximum expression rate of repressor A and repressor B is equal,and hill coefficient of A is one.
<br>[[Image:parameter1-3.JPG|150px|center|thumb|Table1.B]]
<br>[[Image:parameter1-3.JPG|150px|center|thumb|Table1.B]]
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<br>Fig 1.2.A-C indicate that when the initial condition is (Ra,Rb)=(0.0,2.5),which is near stable equilibrium point B, the values of Ra and Rb goes to stable equilibrium point B and when the initial condition is (Ra,Rb)=(2.5,0.0),which is near stable equilibrium point A, the values of Ra and Rb goes to stable equilibrium point B.
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<br>Fig 1.2.A-C indicate that when the initial condition is (Ra,Rb)=(0.0,2.5), which is near the stable equilibrium point B, the values of Ra and Rb go to stable equilibrium point B, and when the initial condition is (Ra,Rb)=(2.5,0.0), which is near the stable equilibrium point A, the values of Ra and Rb go to the stable equilibrium point B.
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<br>Next,when the number of stable equilibrium point is one(Fig 1.1.B), the result of simulation are shown in Fig 1.4.A-C.  
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<br>Next, when the number of stable equilibrium point is one(Fig 1.1.B), the result of simulation are shown in Fig 1.4.A-C.  
[[Image:toggle6.JPG|200px|left|thumb|Figure 1.4.A  (Ra(0),Rb(0))=(0.0,2.5)]] [[Image:toggle7.JPG|200px|left|thumb|Figure 1.4.B  (Ra(0),Rb(0))=(2.5,0.0)]]
[[Image:toggle6.JPG|200px|left|thumb|Figure 1.4.A  (Ra(0),Rb(0))=(0.0,2.5)]] [[Image:toggle7.JPG|200px|left|thumb|Figure 1.4.B  (Ra(0),Rb(0))=(2.5,0.0)]]
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<br><br>
<br><br>
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<br>Fig 4.A-C indicate that the value of Ra and Rb goes to stable equilibrium point A regardless of an initial value in case of monostable state.  
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<br>Fig 4.A-C indicate that the value of Ra and Rb go to the stable equilibrium point A regardless of an initial value in case of monostable state.  
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<br>'''As a result, taking two stable states needs the phaseplane of two stable equilibrium points and Hill coefficients was very important.'''
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<br>'''As a result,taking two stable status need the phaseplane of two stable equilibrium points and we have to set proper parameters.'''
 
== ==
== ==
[[Tokyo/Formulation/1.toggle model|Step.1]] >> [[Tokyo/Formulation/2.toggle model with hybrid promoter|Step.2]]
[[Tokyo/Formulation/1.toggle model|Step.1]] >> [[Tokyo/Formulation/2.toggle model with hybrid promoter|Step.2]]

Latest revision as of 02:45, 27 October 2007


Works top   0.Hybrid promoter   1.Formulation   2.Assay1   3.Simulation   4.Assay2   5.Future works

Step1   Step2   Step3  

1.Single cell model:mutual inhibition

First, the ordinary differential equations (ODEs) of the toggle switch were derived as


Ex1-1
Parameter1-1.jpg


These equations were normalized as follows:


Ex1-2


In the steady state, time derivatives are zero:


Ex1-3


As a result, the nullclines of this system were derived as


Ex1-4


which indicate the nullclines of the system shown in Fig 1.1.A-C. Where about parameters, we use three sets of parameters.


  A)the maximum expression rate of repressor A and repressor B is balanced,and hill coefficient of both A and B is three.


Table1.A


  B)the maximum expression rate of repressor A and repressor B is equal,and hill coefficient of A is one.


Table1.B


  C)the maximum expression rate of repressor A and repressor B is not balanced,and hill coefficient of both A and B is three.


Table1.C
Figure 1.1.A
Figure 1.1.B
Figure 1.1.C


First,we carried out kinetic simulations in the condition of Fig 1.1.A. The results are shown in Fig 1.2.A-C.

Figure 1.2.A (Ra(0),Rb(0))=(0.0,2.5)
Figure 1.2.B (Ra(0),Rb(0))=(2.5,0.0)
Figure 1.2.C (Ra(0),Rb(0))=(1.5,1.3)
Figure 3 bistable



Fig 1.2.A-C indicate that when the initial condition is (Ra,Rb)=(0.0,2.5), which is near the stable equilibrium point B, the values of Ra and Rb go to stable equilibrium point B, and when the initial condition is (Ra,Rb)=(2.5,0.0), which is near the stable equilibrium point A, the values of Ra and Rb go to the stable equilibrium point B.


Next, when the number of stable equilibrium point is one(Fig 1.1.B), the result of simulation are shown in Fig 1.4.A-C.

Figure 1.4.A (Ra(0),Rb(0))=(0.0,2.5)
Figure 1.4.B (Ra(0),Rb(0))=(2.5,0.0)
Figure 1.4.C (Ra(0),Rb(0))=(1.5,1.3)
Figure 1.5 monostable





Fig 4.A-C indicate that the value of Ra and Rb go to the stable equilibrium point A regardless of an initial value in case of monostable state.


As a result, taking two stable states needs the phaseplane of two stable equilibrium points and Hill coefficients was very important.

Step.1 >> Step.2