Endy:Chassis engineering/VM2.0: Difference between revisions

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__NOTOC__
__NOTOC__
==VM2.0 regulation design considerations==
<showhide><h1>VM2.0 regulation design considerations</h1>__HIDER__
<hide>
[[Image:BC-VM20Regulation.png|thumb|right|500px|Regulation scheme for VM2.0]]
[[Image:BC-VM20Regulation.png|thumb|right|500px|Regulation scheme for VM2.0]]
#Stability
#Stability
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What are the metrics for each of the design considerations?
What are the metrics for each of the design considerations?
</hide></showhide>
<br style="clear:both" />
<br style="clear:both" />


==Model==
==Reduced Model==
[[Image:BC-VM20RegulationReduced Model.jpg|thumb|400px|right|Reduced network for VM2.0]]
*Two species, RNAP (activator) and repressor
*Continuous differential equations
*Continuous differential equations
*MATLAB
*MATLAB
*Dimensionless variables, lumped parameters.
*Dimensionless variables, lumped parameters.
*Parameterized for T7 RNAP, "typical" repressor
*Parameterized for T7 RNAP, "typical" repressor
<center>
<br>
<math>
<math>
\dot{[u]} = \frac{a_{0}+a_{1}[u]}{1+[u]+[v]^{n}}-[u]\qquad(1)
\dot{[u]} = \frac{a_{0}+a_{1}[u]}{1+[u]+[v]^{n}}-[u]\qquad(1)
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<math>[v]</math> = dimensionless concentration of repressor
<math>[v]</math> = dimensionless concentration of repressor
<br>
<br>
</center>
<br style="clear:both" />
===Species===
<showhide><h2>Species</h2>__HIDER__
<hide>
#T7 RNAP
#T7 RNAP
#Repressor
#Repressor
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===Model analysis notes===
===Model analysis notes===
*A cooperative autogene network can exhibit bistability or monostability depending on parameter values ([http://web.mit.edu/biophysics/sbio/ 7.81]).  Does this apply if there is no cooperativity?
*A cooperative autogene network can exhibit bistability or monostability depending on parameter values ([http://web.mit.edu/biophysics/sbio/ 7.81]).  Does this apply if there is no cooperativity?
</hide></showhide>

Revision as of 20:41, 14 March 2007

<showhide>

VM2.0 regulation design considerations

__HIDER__

<hide>

Regulation scheme for VM2.0
  1. Stability
    • Noise
      • analytical stability analysis on very simple model or Routh-Hurwitz analysis for full model
      • parameter sensitivity analysis
    • Response time
      • Better to have this fast or slow (slow response time averages out short time scale fluctuations)
  2. Self-booting/controlled
    • Ability to turn on or off
    • Portability
  3. Tunable
    • Pros and cons of DNA copy number, promoter strength, repressor affinities etc.
  4. Efficient
    • Minimizing levels of repressor needed
    • Minimizing consumption of small molecules

What are the metrics for each of the design considerations? </hide></showhide>

Reduced Model

Reduced network for VM2.0
  • Two species, RNAP (activator) and repressor
  • Continuous differential equations
  • MATLAB
  • Dimensionless variables, lumped parameters.
  • Parameterized for T7 RNAP, "typical" repressor


[math]\displaystyle{ \dot{[u]} = \frac{a_{0}+a_{1}[u]}{1+[u]+[v]^{n}}-[u]\qquad(1) }[/math]
[math]\displaystyle{ \dot{[v]} = \frac{a_{0}+a_{1}[u]}{1+[u]+[v]^{n}}-[v]\qquad(2) }[/math]

[math]\displaystyle{ [u] }[/math] = dimensionless concentration of T7 RNAP

[math]\displaystyle{ [v] }[/math] = dimensionless concentration of repressor

<showhide>

Species

__HIDER__

<hide>

  1. T7 RNAP
  2. Repressor
  3. Ribosomes
  4. Repressible T7 promoter
  5. T7RNAP-promoter complex
  6. Repressor-promoter complex
  7. T7 RNAP mRNA
  8. Repressor mRNA
  9. Elongating T7 RNAP
  10. Elongating Ribosomes
  11. etc.

Model analysis notes

  • A cooperative autogene network can exhibit bistability or monostability depending on parameter values (7.81). Does this apply if there is no cooperativity?

</hide></showhide>