Difference between revisions of "Template:Team:Utrecht/MainBody"

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By comparing the two figures, we can now see that the probability of cleavage for the slow cleaver is much smaller than that of the fast cleaver in the timespan that the transient complex persists. Of course, the concentration of the substrate-mediated complex decreases over time, so the total cleavage decreases when it cleaves later. To investigate how much the transient and substrate-mediated complex contribute to signal development for both Protease Chain variants, we define:
 
By comparing the two figures, we can now see that the probability of cleavage for the slow cleaver is much smaller than that of the fast cleaver in the timespan that the transient complex persists. Of course, the concentration of the substrate-mediated complex decreases over time, so the total cleavage decreases when it cleaves later. To investigate how much the transient and substrate-mediated complex contribute to signal development for both Protease Chain variants, we define:
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+
 
S'(t) = p_c (t)⋅C(t)⋅(1-∫_0^t p_c  dt)
+
<center><img height="75" src="https://static.igem.org/mediawiki/2017/b/b5/UuModelingEquation1.png"></center>
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Wherein S’ is the increase in signal, given by the probability of cleavage (p<sub>c</sub>) for the remaining uncleaved complex. The remaining uncleaved complex is given by the remaining complex fraction (C) and how likely it is that it has not already been cleaved (one minus the integral of p<sub>c</sub> from 0 until that timepoint).
 
Wherein S’ is the increase in signal, given by the probability of cleavage (p<sub>c</sub>) for the remaining uncleaved complex. The remaining uncleaved complex is given by the remaining complex fraction (C) and how likely it is that it has not already been cleaved (one minus the integral of p<sub>c</sub> from 0 until that timepoint).
 
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From these relations, it is already clear that there can only be a stable signal potential, i.e. a stable fraction of the target chains remains uncleaved, when the production of target chain outweighs the decay and cleavage of it, whilst the acquisition of cleaved target chain is balanced by its decay, such that the following conditions apply:
 
From these relations, it is already clear that there can only be a stable signal potential, i.e. a stable fraction of the target chains remains uncleaved, when the production of target chain outweighs the decay and cleavage of it, whilst the acquisition of cleaved target chain is balanced by its decay, such that the following conditions apply:
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<center><img height="50" src="https://static.igem.org/mediawiki/2017/9/91/UuModelingEquation2.png"></center>
p_T=d ([T]+[T:S]+[T:S:P])+k_5 [T:S:P]
+
<center><img height="45" src="https://static.igem.org/mediawiki/2017/e/e0/UuModelingEquation3.png"></center>
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k_5 [T:S:P]=d([T_c]+[T_c:S]+[T_c:S:P])
+
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+
 
Which together forms:
 
Which together forms:
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+
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p_T=d ([T]+[T:S]+[T:S:P]+[T_c]+[T_c:S]+[T_c:S:P])
+
<center><img height="45" src="https://static.igem.org/mediawiki/2017/9/90/UuModelingEquation4.png"></center>
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+
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However, the concentrations of the intermediary complexes is dependent on the concentration and hence production of protease chain P. We know that, at equilibrium concentrations, the following must hold:
 
However, the concentrations of the intermediary complexes is dependent on the concentration and hence production of protease chain P. We know that, at equilibrium concentrations, the following must hold:
 
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p_P=d([P]+[P:S]+[T:S:P]+[T_c:S:P])
+
<center><img height="45" src="https://static.igem.org/mediawiki/2017/4/4b/UuModelingEquation5.png"></center>
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By combining these equations, we can get an expression for T depending on the production, decay and complex concentrations:
 
By combining these equations, we can get an expression for T depending on the production, decay and complex concentrations:
 
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[T]=p_T/p_P ([P]+[P:S]+(p_T/p_P -1)([T:S:P]+[T_c:S:P])-([T:S]+[T_c]+[T_c:S])
+
<center><img height="50" src="https://static.igem.org/mediawiki/2017/b/b9/UuModelingEquation6.png"></center>
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By assuming that the DNA binding dynamics of the system occur at much faster timescales than protein production and decay, we can assume that the substrate binding of the protease and target chains is at steady state, yielding the following expressions:
 
By assuming that the DNA binding dynamics of the system occur at much faster timescales than protein production and decay, we can assume that the substrate binding of the protease and target chains is at steady state, yielding the following expressions:
 
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[T:S] = (k_1  [S] [T] + k_4  [T:S:P])/(d + k_2  + k_3  [P])
+
<center><img height="75" src="https://static.igem.org/mediawiki/2017/0/0d/UuModelingEquation7.png"></center>
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<center><img height="75" src="https://static.igem.org/mediawiki/2017/1/19/UuModelingEquation8.png"></center>
[T_c:S] = (k_1  [S] [T_c] + k_4  [T_c:S:P])/(d + k_2  + k_3  [P])
+
<center><img height="75" src="https://static.igem.org/mediawiki/2017/e/ee/UuModelingEquation9.png"></center>
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+
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[P:S]=(k_3  [P] [S] + k_2  [T_c:S:P] + k_2  [T:S:P])/(d + k_4  + k_1 ([T] + [Tc]))
+
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+
 
We could then substitute these three concentrations for their expressions in the expression of the target chain concentration. Making further quasi steady state assumptions on the formation of the pre-cleavage and post-cleavage complexes reduces the expression by two more dependencies. This was done in mathematica notebook, found <a target=_BLANK href="https://static.igem.org/mediawiki/2017/2/21/UuModelingQSSAWorkouts.txt" class="url_external">here</a>.
 
We could then substitute these three concentrations for their expressions in the expression of the target chain concentration. Making further quasi steady state assumptions on the formation of the pre-cleavage and post-cleavage complexes reduces the expression by two more dependencies. This was done in mathematica notebook, found <a target=_BLANK href="https://static.igem.org/mediawiki/2017/2/21/UuModelingQSSAWorkouts.txt" class="url_external">here</a>.
 
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Revision as of 00:57, 2 November 2017

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Cas9 & Cpf1 secretion
and activity
Comparison of endonuclease activity for Cas9 and Cpf1 that has been produced in, and excreted by, HEK293 cells.
MESA two-component system replication
Details on the MESA two-component system, explanation of its relation to our design and the results of its reproduction.
OUTCASST system production
Detailed explanation of the OUTCASST mechanism, experimental progress and technical prospects.
Modeling and
mathematics
Ordinary differential equations, cellular automaton and an object based model for optimal linker-length estimation.
InterLab study participation
Results and details of our measurements for the iGEM 2017 InterLab Study.
Stakeholders & opinions
Interviews and dialogues with stakeholders, potential users, third parties and experts relating to pathogen detection or DNA-based diagnostics.
Risks & safety-issues
Implications and design considerations relating to safety in the usage and implementation of OUTCASST as a diagnostics tool.
Design & integration
OUTCASST toolkit and product design with factors such as bio-safety and user-friendliness taken into account.
Outreach
Videos we made for the dutch public, together with 'de Kennis van Nu'.
Meet our team
About us, our interests and roles in the team and our supervisors.
Sponsors
A listing of our sponsors, how they assisted us and our gratitude for their assistance.
Collaborations
Read about our exchanges with other iGEM teams and government agencies.
Achievements
A short description of all that we have achieved during our participation in the iGEM.
Attributions
A thank-you for everyone that assited us, both in and outside the lab.