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(Practice with R package)
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matplot(out[,1],out[,2:4],type="l")
matplot(out[,1],out[,2:4],type="l")
</pre>
</pre>
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:Result
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:Result [[image:repress.png|thumb|right]]
;Genetic toggle switch
;Genetic toggle switch
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plot(out[,2],out[,3],type="l",xlab="u",ylab="v")
plot(out[,2],out[,3],type="l",xlab="u",ylab="v")
</pre>
</pre>
 +
:Result [[image:genetictoggle.png|thumb|right]]
==External links==
==External links==

Revision as of 05:01, 12 October 2012

Contents

Class Description

This is introductory class to cover topics in synthetic biology by its past (origin), present and future.
The course can be divided into three sessions
  1. Fundamental principles of synthetic biology
  2. Landmark papers in synthetic biology
  3. Current topics and future direction
Additional topics - ethical issues and risks in synthetic biology
  1. iGEM
  2. DIYBio

Course materials

Fundamental principles
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  1. Error fetching PMID 16306983: [DrewEndy1]
  2. Error fetching PMID 16711359: [SciAm1]
  3. Error fetching PMID 18724274: [Embo]
All Medline abstracts: PubMed HubMed
Landmarks
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Error fetching PMID 15858574:
Error fetching PMID 16612385:
Error fetching PMID 16330045:
  1. Error fetching PMID 10659857: [Toggle]
  2. Error fetching PMID 10659856: [Repress]
  3. Error fetching PMID 16306980: [Voigt]
  4. Error fetching PMID 16306982: [Elo]
  5. Error fetching PMID 15858574: [Weiss]
  6. Error fetching PMID 16612385: [Keas]
  7. Error fetching PMID 16330045: [Chris]
All Medline abstracts: PubMed HubMed

Practice with R package

Repressilater
library(deSolve)

### Repressilator
### Elowitz & Leibler (2000)
repress = function(t,y,p) {
  dy = rep(0,6);
  dy[1] = -y[1] + p[1]/(1.+y[4]^p[4])+p[2];
  # dy[1] lacI; dy[4] CI
  dy[2] = -y[2] + p[1]/(1.+y[5]^p[4])+p[2];
  # dy[2] tetR; dy[5] LacI
  dy[3] = -y[3] + p[1]/(1.+y[6]^p[4])+p[2];
  # dy[3] cI; dy[6] TetR
  dy[4] = -p[3]*(y[4]-y[3]); # cI
  dy[5] = -p[3]*(y[5]-y[1]); # lacI
  dy[6] = -p[3]*(y[6]-y[2]); # tetR
  return(list(dy))
  # p[1..4] = c(alpha,alpha0,beta,hill)
}
# initial parameters
x0 = 2*runif(6); p = c(50,0,.2,2); t = seq(0,500,by=0.1)
out = lsoda(x0,t,repress,p)
matplot(out[,1],out[,2:4],type="l")
Result
Repress.png
Genetic toggle switch
### Genetic toggle switch
### Gardner & Collins (2000)
Toggle=function(t,y,parms) {
  u=y[1]; v=y[2];
  du= -u + parms[1]/(1+v^parms[2]);
  dv= -v + parms[1]/(1+u^parms[3]);
  dY=c(du,dv);
  return(list(dY));
}

x0=c(.2,.1); times=seq(0,50,by=0.2)
out=lsoda(x0,times,Toggle,parms=c(3,2,2))
matplot(out[,1],out[,2:3],type="l",ylim=c(0,3),xlab="time t",ylab="u,v");
# phase portrait
plot(out[,2],out[,3],type="l",xlab="u",ylab="v")
Result
Genetictoggle.png

External links

PLoS collections
Nature WEB focus
Science
PubMed database
Google scholar

Open questions

  1. What is 'synthetic biology'?
  2. How is synthetic biology different with traditional genetic engineering?
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