Team:Slovenia/TheSwitchPositiveFeedbackLoopSwitch
From 2012.igem.org
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of the designed switch. | of the designed switch. | ||
We incorporated parameters, obtained from the <a href="https://2012.igem.org/Team:Slovenia/TheSwitchDesignedTALregulators">repression and activation experimental results</a> into our simulations. | We incorporated parameters, obtained from the <a href="https://2012.igem.org/Team:Slovenia/TheSwitchDesignedTALregulators">repression and activation experimental results</a> into our simulations. | ||
- | Both deterministic and stochastic simulations demonstrate that the positive feedback loop switch is significantly more | + | Both deterministic and stochastic simulations demonstrate that the positive feedback loop switch is <b>significantly more |
- | stable than the mutual repressor switch without the positive feedback loops. Most importantly, | + | stable than the mutual repressor switch without the positive feedback loops</b>. Most importantly, <b>even without cooperativity, |
- | the system exhibits bistability (Figure 4). This switch is also more robust despite leaky expression of transcription | + | the system exhibits bistability</b> (Figure 4). This switch is also <b>more robust despite leaky expression of transcription |
- | factors, which caused the simple mutual repressor switch to exhibit no stability at all without cooperativity.</p> | + | factors</b>, which caused the simple mutual repressor switch to exhibit no stability at all without cooperativity.</p> |
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- | <b>Figure 5. | + | <b>Figure 5. Functional components (operons and inducers) of the positive feedback loop switch.</b> |
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Revision as of 13:50, 26 September 2012
Positive feedback loop
We designed a bistable genetic toggle switch based on orthogonal TAL repressors and activators which is composed of a pair of mutual repressors and a pair of activators exending the classical toggle swith with positive feedback loops. Simulations of the positive feedback loop switch demonstrated bistability even at low or no cooperativity. Stochastic and deterministic simulations indicate higher robustness in comparison to the mutual repressor switch. We experimentally tested the switch by monitoring production of two fluorescent protein reporters. We confirmed a clear bimodal distribution of fluorescence and demonstrated adoption of stable states by induction with corresponding inducer molecules. The switch persisted in a stable state after the removal of inducer molecules, which confirmed the epigenitc bistability of our system. |
Bistable genetic switch based on non-cooperative elements
Figure 1. Macia et al. (2009) and Widder et al. (2009) proposed a mathematical solution for creation of a bistable switch that does not require cooperative binding of transcriptional regulators. According to the proposed model, transcription factor A should activate its own transcription and repress the transcription of gene B and vice versa. . |
We, as molecular biologists, do not know of any protein acting simultaneously as a repressor and activator, therefore we were not surprised that to our knowledge, this type of a bistable switch has not yet been experimentally implemented. However, we realized that the ability to design TAL repressors and activators directed against the same binding site could offer a solution to this problem and provide a unique opportunity to construct orthogonal bistable switches based on noncooperative elements.
Design
We designed an upgraded mutual repressor switch, where we introduced two additional positive feedback loops (Figure 2), consisting of two TAL activators targeted against the same binding site as the pair of opposing TAL repressors. In other words, rather than having the same protein function as an activator and repressor, we used two proteins, competing for the same operator. The same binding sequence for the activator and repressor introduced competition for the binding site and introduced the nonlinearity required for the bistability. For the purpose of our iGEM project, we designed a bistable switch with a positive feedback loop, capable of switching between the two states through regulation by inducer molecules (Figure 3).
Figure 2. Scheme of the genetic circuit for the bistable toggle switch composed of a pair of mutual repressors and a pair of autoactivators under the control of two operators. |
Figure 3. Designed states of the bistable toogle switch with a positive feedback loop. (A) Addition of inducer 1 triggers dissociation of its cognate repressor from its DNA-binding site. As a consequence, repressor A and activator B are transcribed. Activator B further activates transcription of repressor A and itself, which forms the positive feedback loop of the switch state one. Meanwhile repressor A inhibits the other state of the switch. (B) When the inducer is removed, the inducible repressor binds back to its DNA-binding site, but since activator B is still present, autoactivation is achieved, resulting in a stable state. (C) and (D) depict the switch switched to state two and the function of its other positive feedback loop. |
Results
Modeling
Before embarking on to the experimental verification, we performed a thorough modeling analysis of the designed switch. We incorporated parameters, obtained from the repression and activation experimental results into our simulations. Both deterministic and stochastic simulations demonstrate that the positive feedback loop switch is significantly more stable than the mutual repressor switch without the positive feedback loops. Most importantly, even without cooperativity, the system exhibits bistability (Figure 4). This switch is also more robust despite leaky expression of transcription factors, which caused the simple mutual repressor switch to exhibit no stability at all without cooperativity.
Figure 4. Robustness of the positive feedback loop switch. The positive feedback loop switch exhibited bistability even in the absence of cooperativity and for the minimal promoter's leaky production rate of 0.1 (i.e. 10% relative to protein production rates) or constitutive promoters leaky expression equal to 0.05 (i.e. 5% relative to protein production rates). In comparison, the same leaky expression (with equal values of all other parameters) of 5% caused the mutual repressor switch (without the positive feedback loops) to exhibit no bistability unless high cooperativity (2 or above) was introduced into the model. |
Experimental testing of the bistability of the switch
For experimental implementation of the positive feedback loop toggle switch we introduced the following components into cells (Figure 5):
|
Figure 5. Functional components (operons and inducers) of the positive feedback loop switch. |
We analysed the performance of the switch by using two fluorescent proteins with good spectral separation (BFP and mCitrine), which enabled easy detection and quantification by confocal microscopy and flow cytometry.
To analyse the bistability we used flow cytometry, a technique which allowed us to detemine the number of cells expressing either one or both of the fluorescent reporter proteins. Although cells were transfected with the complete switch device including both reporters, the analysis of the cells demonstrated clear bimodal distribution - the majority of the analyzed nonstimulated cells expressed only one of the two fluorescent proteins, probably resulting from stochastic events or due to the a slight imbalance of the amount of transfected plasmids (Figure 6A). This bimodal distribution of fluorescence clearly demonstrates the intrinsic bistabilty of our system in comparison to the classical mutual repressor toggle switch topology, where a large fraction of cells expressed both fluorescent reporters. The addition of either one of the inducers switched the reporer production towards only one of the fluorescent proteins (Figures 6B and 6C).
Figure 6. The bistable switch with a positive feedback loop exhibits a bimodal distribution of fluorescence. (A) Non-induced HEK293 cells transfected with plasmids forming the switch (see Figure 5) transcribe either BFP or mCitrine as determined by flow cytometry. (B) HEK293T with the switch plasmids induced with erythromycin (2 mg/L) express mainly mCitrine and (C) cells induced with pristinamycin (2 mg/L) express BFP. Samples were analysed five days after induction. |
Confocal microscopy confirmed the high expression of the expected and no expression of the opposite fluorescent protein in both induced states (Figure 7). This means the addition of an inducer shifts cells to a corresponding state which is preserved even when the inducer is removed (Figure 8). The system remained in a stable state several days after the removal of the signal, which confirms the bistability of our positive feedback loop switch.
Figure 7. Positive feedback loop switch exhibiting two different states at induction with pristinamycine (PI) and erythromycine (ER) inducer molecules. HEK293T cells were cotransfected with the following plasmids : PCMV_mCherry transfection control (20 ng), [A]_PMIN_TALB:KRAB, [A]_PMIN_TALA:VP16_t2A_BFP, [B]_PMIN_TALA:KRAB_t2A_mCitrine, [B]_PMIN_TALB:VP16, (all 5 ng), PCMV_[PIR]_TALB:KRAB, PCMV_[PIR]_TALA:VP16, PCMV_[ETR]_TALA:KRAB, PCMV_[ETR]_TALB:VP16, (all 10 ng), PCMV_PIP:KRAB, PCMV_E:KRAB (both 200 ng). Pristinamycine and erythromycine were added to final concentration of 2 µg/ml. Fluorescence was measured 3 days after induction. |
Figure 8. Positive feedback loop switch exhibiting stable states at removal of inducer molecules. HEK293T cells were cotransfected with the following plasmids: PCMV_mCherry (20 ng), [A]_PMIN_TALB:KRAB, [A]_PMIN_TALA:VP16_t2A_BFP, [B]_PMIN_TALA:KRAB_t2A_mCitrine, [B]_PMIN_TALB:VP16, (all 5 ng), PCMV_[PIR]_TALB:KRAB, PCMV_[PIR]_TALA:VP16, PCMV_[ETR]_TALA:KRAB, PCMV_[ETR]_TALB:VP16, (all 10 ng), PCMV_PIP:KRAB, PCMV_E:KRAB (both 200 ng). Pristinamycine and erythromycine were added to final concentration of 2 µg/ml. Media was replaced 3 days after induction and fluorescence was measured 3 days after removal of inducers. |
References
Widder, S., Macía, J., and Solé, R. (2009) Monomeric Bistability and the Role of Autoloops in Gene Regulation. PLoS ONE 4, e5399.
Macía, J., Widder, S., Solé, R. (2009) Why are cellular switches Boolean? General conditions for multistable genetic circuits. J. Theor. Biol. 261, 126-135.
Cherry, J., L., Adler, F., R. (2000) How to make a Biological Switch. J. Theor. Biol. 203, 117-133.
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