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     <ul>
     <ul>
       <li>[[#ODE Models|ODE Models]]</li>
       <li>[[#ODE Models|ODE Models]]</li>
       <li>[[#Aptamer-Kleptamer Pairs|Aptamer-Kleptamer Pairs]]</li>
       <li>[[#Experimental Characterization|Experimental Characterization]]</li>
       <li>[[#Assembling the Circuits|Assembling the Circuits]]</li>
       <li>[[#Assembling the Circuits|Assembling the Circuits]]</li>
     </ul>  
     </ul>  

Revision as of 23:05, 20 October 2014

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Results



ODE Models

Reaction Design: Oscillator
The overall list of reactions are:
[math]\displaystyle{ E_1 + g_1 -\gt E_1 + g_1 + R_1 }[/math] (RNA production)
[math]\displaystyle{ E_2 + g_2 -\gt E_2 + g_2 + R_2 }[/math] (RNA production)
[math]\displaystyle{ E_1 + g_3 -\gt E_1 + g_3 + R_3 }[/math] (RNA production)
[math]\displaystyle{ E_2 + g_4 -\gt E_2 + g_4 + R_4 }[/math] (RNA production)
[math]\displaystyle{ R_1 + R_4 -\gt O }[/math] (Titration)
[math]\displaystyle{ R_2 + R_3 -\gt O }[/math] (Titration)
[math]\displaystyle{ E^*_1 + R_2 -\gt E_1 }[/math] (Activation )
[math]\displaystyle{ E_2 + R_1 -\gt E^*_2 }[/math] (Inhibition )
[math]\displaystyle{ E_1 + R_3 -\gt E^*_1 }[/math] (Self Inhibition )
[math]\displaystyle{ E^*_2 + R_4 -\gt E_2 }[/math] ( Self Activation)
[math]\displaystyle{ R_1 + D_1 -\gt R_1.D_1 }[/math] (Inhibition)
[math]\displaystyle{ R_1.D_1 -\gt D_1 }[/math] (Titration)
[math]\displaystyle{ D_1 + E^*_2 -\gt E_2 + R_1.D_1 }[/math] (Titration)
where [math]\displaystyle{ E_i }[/math] are active enzymes, [math]\displaystyle{ E^*_i }[/math] are inactive enzymes, [math]\displaystyle{ R_i }[/math] are RNA species, [math]\displaystyle{ g_i }[/math] are genes.
Applying the law of mass action, the dynamics of the system can be derived in the following ordinary differential equations (ODEs).

[math]\displaystyle{ \dot{[R_1]} = k_1[E_1][g_1]-\delta_1 [R_1][R4] - \gamma_2 [E_2][R_1] - \gamma_3 [R_1][D_1] }[/math]
[math]\displaystyle{ \dot{[R_2]} = k_2[E_2][g_2]-\delta_2 [R_2][R3] - \gamma_1 ([E_1^{tot}] - [E_1])[R_2] }[/math]
[math]\displaystyle{ \dot{[R_3]} = k_3[E_1][g_3]-\delta_2 [R_2][R3] - \beta_1 [E_1][R_3] }[/math]
[math]\displaystyle{ \dot{[R_4]} = k_4[E_2][g_4]-\delta_1 [R_1][R4] - \beta_2 ([E_2^{tot}]-[E_2])[R_4] }[/math]
[math]\displaystyle{ \dot{[E_1]} = - \beta_1 [E_1][R_3] +\gamma_1 ([E_1^{tot}] - [E_1])[R_2] }[/math]
[math]\displaystyle{ \dot{[E_2]} = \beta_2 ([E_2^{tot}]-[E_2])[R_4]- \gamma_2 [E_2][R_1] + \beta_3([E_2^{tot}]-[E_2])[D_1] }[/math]
[math]\displaystyle{ \dot{[D_1]} = \theta_1 ([D^{tot}_1]-[D_1]) - \gamma_3 [R_1][D_1] - \beta_3([E_2^{tot}]-[E_2])[D_1] }[/math]

Reaction Design: Bistable
The overall list of reactions are:

[math]\displaystyle{ E_1 + g_1 -\gt E_1 + g_1 + R_1 }[/math] (RNA production)
[math]\displaystyle{ E_2 + g_2 -\gt E_2 + g_2 + R_2 }[/math] (RNA production)
[math]\displaystyle{ E_1 + R_2 -\gt E^*_1 }[/math] (Inhibition )
[math]\displaystyle{ E_2 + R_1 -\gt E^*_2 }[/math] (Inhibition )
[math]\displaystyle{ E^*_1 + D_2 -\gt E_1 }[/math] (Self Activation )
[math]\displaystyle{ E^*_2 + D_1 -\gt E_2 }[/math] ( Self Activation)
[math]\displaystyle{ R_1 + D_1 -\gt R_1.D_1 }[/math]
[math]\displaystyle{ R_1.D_1 -\gt D_1 }[/math]
[math]\displaystyle{ R_2 + D_2 -\gt R_2.D_2 }[/math]
[math]\displaystyle{ R_2.D_2 -\gt D_2 }[/math]
where [math]\displaystyle{ E_i }[/math] are active enzymes, [math]\displaystyle{ E^*_i }[/math] are inactive enzymes, [math]\displaystyle{ R_i }[/math] are RNA species, [math]\displaystyle{ g_i,D_i }[/math] are genes.
Applying the law of mass action, the dynamics of the system can be derived in the following ordinary differential equations (ODEs).

[math]\displaystyle{ \dot{[R_1]} = k_1[E_1][g_1]-\delta_1 [R_1][D_1] - \gamma_2 [E_2][R_1] }[/math]
[math]\displaystyle{ \dot{[R_2]} = k_2[E_2][g_2]-\delta_2 [R_2][D_2] - \gamma_1 [E_1][R_2] }[/math]
[math]\displaystyle{ \dot{[E_1]} = \beta_1 ([E_1^{tot}]-[E_1])[D_2] -\gamma_1 [E_1][R_2] }[/math]
[math]\displaystyle{ \dot{[E_2]} = \beta_2 ([E_2^{tot}]-[E_2])[D_1]- \gamma_2 [E_2][R_1] }[/math]
[math]\displaystyle{ \dot{[D_1]} = \theta_1([D^T_1 - D_1]) - \delta_1 [R_1][D_1] - \beta_2 ([E_2^{tot}]-[E_2])[D_1] }[/math]
[math]\displaystyle{ \dot{[D_2]} = \theta_2([D^T_2 - D_2]) - \delta_2 [R_2][D_2] - \beta_1 ([E_1^{tot}]-[E_1])[D_2] }[/math]
Parameter Fitting

Experimental Characterization

The oligonucleotide sequences are specified in the Supplementary section. Once the necessary genelets and strands for our RNA clocks and switches systems are designed, it is important to characterize and verify that our DNA sequences are designed correctly. All experiments are incubated at 30°C in both the spectrofluorometer and thermocycler.

Aptamer-RNA Polymerase Interactions

Purpose

Inhibition of SP6 RNA Polymerase.
Inhibition of T7 RNA Polymerase.

Enzyme Inhibition with RNA Aptamers for the RNA Switch
The topologies of our RNA clocks and switches rely on the idea that inhibition of a module is possible, whether it is self-mediated or caused by another module. A fluorescent RNA aptamer genelets, Malachite Green and Spinach, are used to characterize and quantify our system. This reporting system will be our visual determining guide for whether the enzyme's transcriptional funciton is altered, specifically inhibition. A spectrofluorometer is used to characterize the inhibition of T7 RNA Polymerase and SP6 RNA Polymerase by measuring fluorescence in the system. These experiments successfully demonstrated three important concepts that are necessary to achieve oscillations and bistablity behaviors for our systems:
1) The proper binding of specific enzymes to the inhibiting aptamer sequences.
2) The production of RNA aptamer strands through transcription of DNA to RNA.
3) Inhibitor aptamer RNA product successfully suppresses the transcriptional function of their specific target enzyme.
Gel electrophoresis is another useful tool in determining the functionality of enzymes prior and post interaction of the inhibiting aptamer RNA products.

Aptamer-Kleptamer Interactions

Reactivation of T7 RNA Polymerase.
Removal of R1 from SP6 RNA Polymerase with K1.
Removal of R1 from SP6 RNA Polymerase with R4.

Bound Aptamer-Kleptamer Interactions
Inhibition of the modules is not sufficient for RNA clocks and switches. It must also be possible for the enzymes to regain transcriptional activity after the addition of the kleptamer. The following experiments show unequivocally that the kleptamers can successfully undermine inhibition. For both enzyme transcriptional systems, the fluorometer data shows inhibition of enzyme activity evident by the sharp decline in the fluorescence intensity rate. Next, the kleptamer for both systems was subsequently added. In each case, the rate of fluorescence intensity rate increases dramatically, indicating re-instilled activity of the previously inhibited enzyme. Both experiments are supported by non-denaturing gel electrophoresis. The enzyme was dissolved with aptamer and incubated for a sufficient amount of time to let binding settle to equilibrium. Next, the respective kleptamer was introduced into the system. It is evident in both cases that there is significantly less aptamer bound to the enzyme when kleptamer is added as compared when no kleptamer is added. Details of conditions used can be found in the supplementary section.


Interactions of R1 with two versions of K1.





Unbound Aptamer-Kleptamer Interaction
An important factor in the oscillatory system is to ensure the R1 and K1 strands are not strongly interacting before the inhibition of SP6 RNAP. In this gel, the R1 and K1 aptamers were mixed into solution together at the same concentration and incubated. For both variations of the K1 strand (23&38 bp), there are two distinct bands in lanes 4 and 6. This indicates that there are little interactions occurring between these two strands before R1 binds to the enzyme. This can be explained by a difference in secondary structure between the bound and unbound forms of R1. Details of conditions used can be found in the supplementary section.


Bistable Mechanisms Verification


Oscillatory Mechanisms Verification

Reactivation of T7 RNA Polymerase

Inhibition of T7 RNA Polymerase with Genelets
By transcribing G3, T7 RNAP will become inhibited by the transcribed RNA aptamer. This can be seen using fluorometry by measuring the transcription rate of Malachite Green. The blue trace represents our negative control in which there is no G3. The orange trace represent the solution with G3 added. The gene was added around 1 hour into the experiment at 500 nM. It’s evident that the activity has been completely inhibited.

Reactivation of T7 RNA Polymerase

Reactivation of T7 RNA Polymerase with Genelets
In this case, the genes- G3 and G2 –were used instead of the aptamers. There is obvious inhibition of the enzyme with the addition of varying concentrations of G3. After a few hours, G2 (750 nM) was added to the mixture to be transcribed into the reactivator, R2. Unfortunately, there was no reactivation of the enzyme. It’s possible this may be because the transcription of G3 is outcompeting the transcription of G2. This would prevent any reactivation since T7 RNAP would immediately re-inhibit itself.



Assembling the Circuits



EDIT

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  <li><a href='http://openwetware.org/wiki/Biomod/2014/UCR/Breaking_RNA'><span>Home</span></a></li>
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