Team:PKU Beijing/Modeling/ODE
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[[Team:PKU_Beijing/Modeling|Modeling]] > [[Team:PKU_Beijing/Modeling/ODE|ODE]] | [[Team:PKU_Beijing/Modeling|Modeling]] > [[Team:PKU_Beijing/Modeling/ODE|ODE]] | ||
- | + | Our design this year consists of four modules. For each module, we constructs ODEs(Ordinary Differential Equations) to describe the biological process. In this page, we will demonstrate all of our equations, the corresponding biological reactions, and parameters related. For parameters we used, please go to [[Team:PKU_Beijing/Modeling/Parameters|parameters]] page. For modeling result of the deterministic model, please go to [[Team:PKU_Beijing/Modeling/Result|result]] page. | |
- | + | ==='''AND Gate 1'''=== | |
- | + | The AND Gate 1 module works like this: Salicylate activates the transcription of T7 RNA polymerase with amber mutation while Arabinose activates the production of the tRNA. The AND gate part works as T7 RNA polymerase mRNA is translated, which is realized only when both salicylate and arabinose are present. Let's go downstreawm, T7 RNA polymerase protein activates the expression of CI(Trigger CI), which will trigger the state of the bi-stable module from CI434 to CI. | |
- | + | *'''Synthesis of tRNA''' | |
+ | '''Biological Process'''<br> | ||
+ | Arabinose activates the transcription of supD gene, which will produce tRNA. tRNA interacts with animo acids to produce Aa-tRNA, which will be used in the translation process of T7 RNA polymerase. As translation proceeds, tRNA is regenerated as Aa-tRNA is consumed, which can contribute to the enrichment of its concentration. The AND Gate 2 will have a similar effect on the concentration of tRNA. Meanwhile, tRNA and Aa-tRNA degrade in a certain rate. The degradation of tRNA will decrease its concentration, while Aa-tRNA's degradation will produce more tRNA molecules considering the fact that the bond between tRNA and aminoacyl is weak. | ||
- | < | + | '''Equation'''<br> |
+ | [[Image:PKU_Eq1.png]] | ||
- | + | '''Parameters'''<br> | |
+ | c_1: concentration of tRNA<br> | ||
+ | k_1: maxinum transcription rate of tRNA<br> | ||
+ | s_1: concentration of AraC, the stimulus<br> | ||
+ | K_1: microscope dissociation constant<br> | ||
+ | n_1: Hill co-effiency<br> | ||
+ | γ_1: degradation and dilution rate of tRNA. Unless notice, "degradation rate" in this model means the combination of degradation rate and dilution rate.<br> | ||
+ | γ_2': degradation rate of Aa-tRNA. This process DOES NOT consist of dilution, which will not break down the bond between tRNA and aminoacyl.<br> | ||
+ | c_2: concentration of Aa-tRNA<br> | ||
+ | k_2: rate of transformation from tRNA to Aa-tRNA.<br> | ||
+ | c_4: T7 RNA polymerase, product of AND gate 1.<br> | ||
+ | c_11: T3 RNA polymerase(P2), product of AND gate 2. | ||
+ | |||
+ | *'''Synthesis of Aa-tRNA''' | ||
+ | '''Biological Process'''<br> | ||
+ | Aa-tRNA is produced by tRNA and amino acids. Suppose that the amino acids are of large quantity in a cell, their concentration can be regarded as constant, which means that the production rate of Aa-tRNA can be describe by multiplying concentration of tRNA(c_1) by production rate(k_2). Aa-tRNA will be consumed in two AND gate while it keeps degrading in the cells. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq2.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | γ_2: degradation rate of Aa-tRNA | ||
+ | |||
+ | *'''Synthesis of T7 RNA polymerase mRNA''' | ||
+ | '''Biological Process'''<br> | ||
+ | Sal activates the transcription of T7 RNA polymerase. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq3.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | c_3: concentration of T7 RNA polymerase mRNA<br> | ||
+ | k_3: maximum transcription rate of T7 RNA polymerase<br> | ||
+ | s_2: concentration of Sal<br> | ||
+ | K_3: microscope dissociation constant<br> | ||
+ | n_3: Hill co-effiency<br> | ||
+ | γ_3: degradation rate of T7 RNA polymerase mRNA | ||
+ | |||
+ | *'''AND Gate 1''' | ||
+ | '''Biological Process'''<br> | ||
+ | T7 RNA polymerase mRNA has two amber mutation. Only when Aa-tRNA synthesized from above reactions presents, can the translation process continues. Equation is adopted from J Christopher Anderson, et. al., Environmental signal integration by a modular AND gate, ''Molecular Systems Biology'' 3:133, supplementary information. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq4.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | k_4: maximum translation rate of T7 mRNA polymerase<br> | ||
+ | k_s, γ_0: rate<br> | ||
+ | γ_4: degradation rate of T7 mRNA polymerase | ||
+ | |||
+ | *'''Synthesis of trigger CI mRNA''' | ||
+ | '''Biological Process'''<br> | ||
+ | T7 RNA polymerase activates the transcription of CI. The translation of the exogenous CI mRNA is described in the same function as the translation of CI mRNA from the bi-stable switch. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq5.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | c_5: concentration of trigger CI mRNA<br> | ||
+ | k_5: maximum transcription rate<br> | ||
+ | K_5: microscope dissociation constant<br> | ||
+ | n_5: Hill co-effiency<br> | ||
+ | γ_5: degradation rate of trigger CI mRNA | ||
==='''Bistable'''=== | ==='''Bistable'''=== | ||
+ | |||
+ | Bistable module was initially constructed by Chunbo Lou, a team member from PKU 2007 Team, also an instructor of our team this year. Here's the mechanism of the bi-stable module. CI(trigger CI and bi-stable CI) both activates the CI promoter and represses the CI434 promoter, while CI434 represses the CI promoter. Initially, the bi-stable was in the CI434 state. When the exogenous CI presents, the synthesis of CI is increased and the synthesis of CI434 is repressed. If the trigger is strong enough, the bi-stable will jump to the CI state which means the dog creates a link between food and bell. | ||
+ | |||
+ | *'''Synthesis of bi-stable CI mRNA''' | ||
+ | '''Biological Process'''<br> | ||
+ | CI promotes the transcription of CI, while CI434(from bi-stable) repressed this process. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq6.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | c_6: concentration of bi-stable CI mRNA<br> | ||
+ | k_6 and k_6': transcription rates<br> | ||
+ | c_8: concentration of CI protein(trigger and bi-stable)<br> | ||
+ | K_6: microscope dissociation constant between CI promoter and CI<br> | ||
+ | n_6: Hill co-effiency between CI promoter and CI<br> | ||
+ | K_6': microscope dissociation constant between CI promoter and CI434<br> | ||
+ | n_6': Hill co-effiency between CI promoter and CI434<br> | ||
+ | γ_6: degradation rate of bi-stable CI mRNA | ||
+ | |||
+ | *'''Synthesis of CI(trigger and bi-stable)''' | ||
+ | '''Biological Process'''<br> | ||
+ | Trigger CI mRNA(from AND Gate 1 module) and bi-stable CI mRNA(from bi-stable module) are translated into CI protein. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq8.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | k_8: translation rate of trigger CI mRNA<br> | ||
+ | k_8': translation rate of bi-stable CI mRNA<br> | ||
+ | γ_8: degradation rate of CI protein | ||
+ | |||
+ | *'''Synthesis of CI434 mRNA''' | ||
+ | '''Biological Process'''<br> | ||
+ | CI protein represses the transcription of CI434 mRNA. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq9.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | c_9: concentration of CI434 mRNA<br> | ||
+ | k_9: maximum transcription rate of CI434 mRNA<br> | ||
+ | K_9: dissociation constant<br> | ||
+ | n_9: Hill co-effiency<br> | ||
+ | γ_9: degradation rate of CI434 mRNA | ||
+ | |||
+ | *'''Synthesis of CI434''' | ||
+ | '''Biological Process'''<br> | ||
+ | CI434 mRNA is translated into CI434 protein. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq10.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | c_10: concentration of CI434<br> | ||
+ | k_10: translation rate of CI434<br> | ||
+ | γ_10: degradation rate of CI434 | ||
==='''AND Gate 2'''=== | ==='''AND Gate 2'''=== | ||
- | ==='''Output'''=== | + | T3 RNA polymerase(P2) is in exact same position of bi-stable CI from bi-stable module. CI activates its expression while CI434 represses it. The T3 RNA polymerase(P2) mRNA also has amber mutation, which can be translated into protein only with Aa-tRNA from AND gate 1 module presents. This is another AND gate, works exactly the same as the one in AND gate 1 module. |
+ | |||
+ | *'''Synthesis of T3 RNA polymerase(P2) mRNA''' | ||
+ | '''Biological Process'''<br> | ||
+ | CI activates the translation of T3 RNA polymerase while CI434 represses it. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq7.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | c_7: concentration of T3 RNA polymerase(P2) mRNA<br> | ||
+ | k_7 and k_7': transcription rate<br> | ||
+ | K_7: microscope dissociation constant between CI promoter and CI, equals to K_6<br> | ||
+ | K_7': microscope dissociatino constant between CI promoter and CI434, equals to K_6'<br> | ||
+ | n_7: Hill co-effiency between CI promoter and CI, equals to n_6<br> | ||
+ | n_7': Hill co-effiency between CI promoter and CI434, equals to n_6'<br> | ||
+ | γ_7: degradation of T3 RNA polymerase(P2) mRNA | ||
+ | |||
+ | *'''AND gate''' | ||
+ | '''Biological Process'''<br> | ||
+ | Similar to the previous AND gate, this AND gate consumes T3 RNA polymerase(P2) mRNA and Aa-tRNA to synthesize T3 RNA polymerase(P2) protein. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq11.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | k_11: maximum transcription rate<br> | ||
+ | k_s',γ_0': rates<br> | ||
+ | γ_11: degradation rate of T3 mRNA polymerase(P2) protein | ||
+ | |||
+ | ==='''OR Gate and Output'''=== | ||
+ | |||
+ | No matter whether the dog has been trained, it will definitely react when food presents. To achieve this phenomenon, we construct an OR gate. This module works like this: both T3 RNA polymerase(P2) and Sal can activates the expression of GFP, which will be considered as the final output. | ||
+ | |||
+ | *'''Synthesis of GFP mRNA''' | ||
+ | '''Biological Process'''<br> | ||
+ | Both Sal and T3 RNA polymerase(P2) activate the transcription of GFP. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq12.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | c_12: concentration of GFP mRNA | ||
+ | k_12: maximum transcription rate from Sal | ||
+ | K_12: microscope dissociation constant from Sal | ||
+ | n_12: Hill co-effiency from Sal | ||
+ | k_12': maximum translation rate from T3 RNA polymerase(P2) | ||
+ | K_12': microscope dissociation constant from T3 RNA polymerase(P2) | ||
+ | n_12': Hill co-effiency from T3 RNA polymerase(P2) | ||
+ | γ_12: degradation rate of GFP mRNA | ||
+ | |||
+ | *'''Synthesis of GFP''' | ||
+ | '''Biological Process'''<br> | ||
+ | GFP mRNA is translated into GFP protein, the final output. | ||
+ | |||
+ | '''Equation'''<br> | ||
+ | [[Image:PKU_Eq13.png]] | ||
+ | |||
+ | '''Parameters'''<br> | ||
+ | c_13: concentration of GFP<br> | ||
+ | k_13: translation rate of GFP mRNA<br> | ||
+ | γ_13: degradation rate of GFP | ||
==='''Full Model'''=== | ==='''Full Model'''=== | ||
+ | Here's the full ODEs we have constructed. | ||
+ | |||
+ | [[Image:PKU_Eq_All.png]] | ||
{{PKU_Beijing/Foot}} | {{PKU_Beijing/Foot}} | ||
__NOTOC__ | __NOTOC__ |
Latest revision as of 16:45, 21 October 2009
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