Line 126: | Line 126: | ||
\[\varnothing\rightarrow C4\] | \[\varnothing\rightarrow C4\] | ||
− | \[RNA_{pol} + g_{C4R} \rightarrow RNA_{pol} + g_{C4R} + mRNA_{C4R}\ | + | \[RNA_{pol} + g_{C4R} \rightarrow RNA_{pol} + g_{C4R} + mRNA_{C4R}]\ |
− | \[RNA_{pol} + g_{C14R} \rightarrow RNA_{pol} + g_{C14R} + mRNA_{C4R}\ | + | \[RNA_{pol} + g_{C14R} \rightarrow RNA_{pol} + g_{C14R} + mRNA_{C4R}]\ |
\[mRNA_{C4R}\rightarrow C4R\] | \[mRNA_{C4R}\rightarrow C4R\] |
Revision as of 00:06, 20 October 2016
<!DOCTYPE html>
The first stage of our modelling process was to construct a single cell in silico model of our circuit. Our model was built using mass action kinetics in Simbiology (Matlab toolbox) and built up reaction by reaction.
We first separated the models into 3 modules: Quorum Communication, STAR-antiSTAR Comparator and Growth Regulation.
We constructed the four quorum systems that we considered viable choices for our system (cin, rhl, lux and las) to allow us to directly compare the expected behaviour and plan our growth module experiments accordingly. We designed the overall model for the Rhl and Cin systems (Chen et al., 2015) as they have been previously shown to operate with minimal crosstalk.
Communication module:
The results indicate that the species within this module reach steady states at time points unique to that species.
Figure 1: Production of C4 AHLs and C14 AHLs against time
Figure 2: Production of C4R and C14R regulatory proteins against time
Figure 3:C4:C4R and C14:C14R complex formation against time
TEXT GOES HERE
Works Cited
Chen, Y., Kim, J., Hirning, A., Josi, K. and Bennett, M. (2015). Emergent genetic oscillations in a synthetic microbial consortium. Science, 349(6251), pp.986-989.
Zhang, D. and Winfree, E. (2009). Control of DNA Strand Displacement Kinetics Using Toehold Exchange. J. Am. Chem. Soc., 131(47), pp.17303-17314.