Difference between revisions of "IGEM:Brown/2007/Tri-Stable Switch"
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Naturally, we don't want to add more ligand than we need.
Naturally, we don't want to add more ligand than we need. we wanted to change the state again by adding a different [[Image:ligandTest.png|thumb|left|The Ligand test Architecture]]ligand, we wouldn't want ligand floating around. Furthermore, tetracycline is an antibiotic and we don't want to add so much that we are compromising the activity of the cell.
Revision as of 09:16, 15 August 2007
- 1 Calendar
- 2 Tri-stable Toggle Switch
- 3 Modeling
- 4 Testing
- 5 Standardized Characterization
Weekly Updates on the Tri-Stable Switch
<calendar> name=iGEM:Brown/2007/Tri-Stable Switch date=2007/08/01 view=threemonths format=%name/%year-%month-%day weekstart=7 </calendar>
Tri-stable Toggle SwitchThe Tri-stable Toggle Switch will be able to produce three distinct, continuous (stable) outputs for each of the three inputs. A chemical will induce the system to "lock into" one state while repressing the other two states. AraC represses pBAD, LacI represses pLac and TetR represses pTet. The three chemicals (arabinose, IPTG (Isopropyl β-D-1-thiogalactopyranoside) and Tetracycline, respectively), cause conformational changes in their respective repressor proteins which leads to gene expression. For example, in the presence of arabinose, AraC cannot repress pBAD so LacI and TetR are produced which in turn repress pTet and pLac.
AraC/BADThe gene AraC is one of several genes (AraA, AraB, AraD, etc) originally for the metabolism of arabinose. Bcl-2-associated death promoter, an apoptotic regulator in humans).
LacIIn nature, LacI represses pLac which promotes LacYZA genes that metabolize lactose, thus LacI represses pLac except in the presence of lactose (or lactose mimics, eg IPTG). 
TetR represses the constitutive promoter pTet. In the presence of tetracycline, an antibiotic, a conformational change in TetR inhibits the protein from binding to the operator region. In nature, pTet promotes TetR and TetA. The latter which acts to pump tetracycline out of the cell, thus the pump is only activated in the presence of Tetracycline.The TetR, as it turns out is a very tight repressor and a range of 0 to 1 ug/ml has been shown to cause a 5 order of magnitude change in luciferase production.
Tetracycline is highly diffusable through cell membrane (permeation coeficient or 5.6±1.9 * 10^-9 cm/s or half equilibrium time = 35 ± 15 min) and TetR shows a very high affinity for the molecule. The binding constant of TetR to [tc-Mg+] is Ka ~ 10^9 M^-1. When bound to tc, TetR has a low binding level to DNA of 10^5 M^-1. 
Brown iGEM 2006 Matlab model code Media:tristable2006.txt
There are two methods we could follow in designing the Switch. We could randomly try different RBSs, hope it works and if not try again without having much of an understanding of why our cnostructs didn't work. Or we can test our repressors, promoters and inducers and have a systematic approach to anaylizing our system so that when something works or doesn't work we will know why. Thus we have designed a few tests which should give us relative and absolute values of our system that we can then plug into the model.
We decided to to test for three values. The combined transcription/translation rate of each repressor, the cooperativity of each repressor and the concentration of ligand needed to deactivate each repressor. We managed to design three tests all using the same constructs so as to minimize ligations. These tests should determine our variables independantly, i.e. changing synthesis rate should not change cooperativity of repression.
Synthesis RateThe combined transcription/translation rate of the repressor is the combined strength of the promoter and the RBS. In
Cooperativity of RepressionThe cooperativity describes an inherent characteristic of a repressor's repression. In our system we want to know how
Ligand ConcentrationNaturally, we don't want to add more ligand than we need. In what ever application the project might find, if we wanted to change the state again by adding a different
Standardizing Repressor Characterization
Ultimately we would like to make a protocol by which all other repressors could be characterized that would be easy to construct, repeatable and useful to all applications. Hopefully, we will find the correct combination of cell concentration and growth phase, reporter readout, induction method, cell type and variables to test for so that this information can be useful to others.
Standardizing Promoter Characterization
The same goes for promoter characterization, the only difference is that promoters have to be characterized relative to a standard promoter defined as one, similar to RBSs. We should also determine how off the promoter can be, whether it be a repressable promoter or inducible promoter.