Team:SydneyUni Australia/Modelling Principles

From 2013.igem.org

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=='''A Brief Background on Michaelis-Menton Kinetics'''==
 
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<div align="justify">The majority of single-substrate metabolic enzymes follow Michaelis-Menton (MM) kinetics, for which the equations below accurately describe enzyme activity. The system is based on the forward and reverse kinetic rate (k<sub>1</sub> and k<sub>-1</sub> respectively) of substrate-enzyme binding followed by the irreversible catalytic step of product formation (k<sub>2</sub>) as depicted in the figure below:
 
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[[File:Igem pathway 1.png|center]]
 
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[[File:Igem Re.jpg|center]]
 
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<div align="justify">
 
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The rate of catalysis for an enzyme is a function of the enzyme and substrate concentration and incorporates the catalytic constant K<sub>cat</sub> and the Michaelis constant K<sub>m</sub>, which are given in most of the literature that involves enzyme kinetics. The symbol R<sub>E</sub> denotes the reaction rate: the rate of product formation, i.e. </div>
 
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[[File:Igem Re= dproduct.png|center]]
 
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In the above figure is a simplified schematic of the 2 metabolic pathways we considered. The symbols in squares signify the intracellular concentrations of the associated metabolite (Greek letters) or enzyme (capital English letters). </div>
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The above figure is a simplified schematic of the 2 metabolic pathways which are considered. The symbols in squares signify the intracellular concentrations of the associated metabolite (greek letters) or enzyme (capitol English letters).  These symbols will be used throughout the analysis. </div>
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* values based on ethanol as a substrate
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A table that summarises the enzymes that we used in both of the engineered metabolic pathways. The constants presented were (painstakingly) obtained from the literature (referenced).
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*values based on ethonal as a substrate
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=='''ODE Model'''==
=='''ODE Model'''==
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[[File:Igem ode 1.png|center]]
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Firstly, (and mainly for the mathematical modellers reading this) the overview of the system of ODEs describing the 2 different pathways:
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ODEs describing the pathway not involving p450
 
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[[File:Igem ode 2.png|center]]
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The non-monooxygenase pathway (with dhlA (A) and adh1b1*2 (B)).
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ODEs describing the pathway involving p450
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[[File:Igem ode 11.png|center]]
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<div align="justify">System of ODEs used to model the intracellular concentration of the metabolic intermediates inside a single cell. The concentrations of each metabolite are determined through the associated MM equation of the introduced enzymes.
 
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The symbols A, B, C, D & E represent the intracellular enzyme concentrations the symbols α<sub>in</sub>,α<sub>out</sub>, β, γ & δ represent the concentrations of the metabolic intermediates.
 
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The function J(α<sub>out</sub>,α<sub>in</sub>) represents the flux of extracellular DCA across the plasma membrane and is a function of the extra and intracellular concentrations of DCA. The value S represents the average surface area of the cellular membrane of ''E. coli''. See below for the derivation of J.
 
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The initial conditions for the system are α<sub>in</sub>=β=γ=δ=0 M at t=0 min, ε=ε<sub>phys</sub> &  α<sub>out</sub>=α<sub>out</sub>(t=0), where ε is the physiological concentration of non-DCA-derived glycolate and α<sub>out</sub>(t=0) is the initial concentration of DCA outside of the cellular membrane.
 
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</div>
 
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The monooxygeanse pathway (with p450 (C)).
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[[File:Igem ode 22.png|center]]
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The 2 above system of ODEs were used to model 2 things:
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1.The rate at which extracellular DCA is removed from solution (given the number of cells in solution) . This is considering the rate at which DCA crosses the plasma membrane (from solution to cytoplasm) of all cells in solution.
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2. The rate at which the intracellular concentrations of the metabolic intermediates change over time within a single cell. This considers the relative activities of the enzymes of the metabolic pathway.
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The symbols A, B, C, D & E represent the intracellular enzyme concentrations of 1,2-Dichloroethane Dechlorinase, Alcohol Dehydrogenase, Cytochrome p450, Chloroacetaldehyde Dehydrogenase and Haloacetate Dehydrogenase respectively. They have units of mM
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The symbols α<sub>in</sub>, β, γ, δ and ε represent the intracellular concentrations of the metabolic intermediates DCA, 2-chloroethanol, chloroacetaldehyde, chloroacetate and glycolate respectively. They have units mM.
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α<sub>out</sub> represents the extracellular concentration of DCA, ie the concentration of DCA in solution. It has units mM.
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The symbol Ψ represents the concentration of cells in solution and has units cells/mL.
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The function J(α<sub>out</sub>,α<sub>in</sub>) represents the rate which extracellular DCA moves across the plasma membrane and into the single cell (the flux rate). It is a function of the extra and intracellular concentrations of DCA and has a value of surface area per time m^2/s. The value S represents the average surface area of the cellular membrane of E. coli. By multiplying S by J one achieves the total amount of DCA flowing into a single cell per unit time. The total amount of DCA flowing from solution is achieved by multiplying Ψ by S and J.
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=='''Construction of a model for the metabolic pathway'''==
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Each line represents how the metabolic intermediate changes over time; this is dictated by the relative rate at which the intermediate is formed vs the rate at which it is used/removed.
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So, for the metabolic component of the ODE, the rate at which the intracellular concentration of metabolites (β, γ, δ and ε) change over time is purely determined through the relative activity (described by MM equations) of the enzymes creating or removing the metabolite. The rate at which once substrate is removed is directly equal to the rate at which the associated product is created, for instance, the rate at which γ is removed is the rate at which δ is formed.
 +
By observing how each intermediate simultaneously acts as a substrate and product, it is easy to see how this process gives rise to a connected system of equations.
 +
 +
(Luckily) the enzymes of our metabolic pathway are accurately described by MM kinetics and all constants were available in the literature. The system is based on the forward and reverse kinetic rate (k<sub>1</sub> and k<sub>-1</sub> respectively) of substrate-enzyme binding followed by the irreversible catalytic step of product formation (k<sub>2</sub>) as depicted in the figure below:
 +
 +
[[File:Igem pathway 1.png|center]]
 +
 +
The rate of catalysis for an enzyme is a function of the enzyme and substrate concentration and incorporates the catalytic constant k<sub>cat</sub> and the Michalies constant K<sub>M</sub>, which are given in most of the literature that involves enzyme kinetics.
 +
 +
[[File:Igem Re.jpg|center]]
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The symbol R<sub>E</sub> denotes the reaction rate: ie the rate of product formation (which is equal to the rate of substrate removal).
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[[File:Igem Re= dproduct.png|center]]
=='''DCA Diffusion Across the Plasma Membrane'''==
=='''DCA Diffusion Across the Plasma Membrane'''==

Revision as of 08:43, 18 October 2013

SydneyUniversity Top Banner.jpg SydneyUniversity Bottom Banner.jpg



A Schematic of the Engineered Metabolic Pathway:

Pathway RRR.png


The above figure is a simplified schematic of the 2 metabolic pathways which are considered. The symbols in squares signify the intracellular concentrations of the associated metabolite (greek letters) or enzyme (capitol English letters). These symbols will be used throughout the analysis.


General Information regarding the Enzymes Involved in the Metabolic Pathway

Enzyme Gene Symbol Constants Substrate Product Ref
1,2-Dichloroethane Dechlorinase dhlA A KM A = 0.53 mM, kcat A = 3.3 s-1 DCA 2-chloroethanol [1]
Alcohol Dehydrogenase Adhlb 1/2* B KM B = 0.94 mM, kcat B = 0.0871 s-1 2-chloroethanol chloroacetaldehyde [2]
p450 p450 C KM C = 7.2 mM, kcat C = 89.8 s-1 DCA chloroacetaldehyde [3]
Chloroacetaldehyde Dehydrogenase aldA D KM D = 0.06mM, kcat D = 0.60 s-1 chloroacetaldehyde chloroacetate [4]
Haloacetate Dehydrogenase dhlB E KM E = 20 mM, kcat E = 25.4 s-1 chloroacetate glycolate [5]

A table that summarises the enzymes that we used in both of the engineered metabolic pathways. The constants presented were (painstakingly) obtained from the literature (referenced).

  • values based on ethonal as a substrate


ODE Model

Firstly, (and mainly for the mathematical modellers reading this) the overview of the system of ODEs describing the 2 different pathways:


The non-monooxygenase pathway (with dhlA (A) and adh1b1*2 (B)).

Igem ode 11.png


The monooxygeanse pathway (with p450 (C)).

Igem ode 22.png


The 2 above system of ODEs were used to model 2 things: 1.The rate at which extracellular DCA is removed from solution (given the number of cells in solution) . This is considering the rate at which DCA crosses the plasma membrane (from solution to cytoplasm) of all cells in solution. 2. The rate at which the intracellular concentrations of the metabolic intermediates change over time within a single cell. This considers the relative activities of the enzymes of the metabolic pathway.


The symbols A, B, C, D & E represent the intracellular enzyme concentrations of 1,2-Dichloroethane Dechlorinase, Alcohol Dehydrogenase, Cytochrome p450, Chloroacetaldehyde Dehydrogenase and Haloacetate Dehydrogenase respectively. They have units of mM The symbols αin, β, γ, δ and ε represent the intracellular concentrations of the metabolic intermediates DCA, 2-chloroethanol, chloroacetaldehyde, chloroacetate and glycolate respectively. They have units mM. αout represents the extracellular concentration of DCA, ie the concentration of DCA in solution. It has units mM. The symbol Ψ represents the concentration of cells in solution and has units cells/mL.


The function J(αoutin) represents the rate which extracellular DCA moves across the plasma membrane and into the single cell (the flux rate). It is a function of the extra and intracellular concentrations of DCA and has a value of surface area per time m^2/s. The value S represents the average surface area of the cellular membrane of E. coli. By multiplying S by J one achieves the total amount of DCA flowing into a single cell per unit time. The total amount of DCA flowing from solution is achieved by multiplying Ψ by S and J.


Construction of a model for the metabolic pathway

Each line represents how the metabolic intermediate changes over time; this is dictated by the relative rate at which the intermediate is formed vs the rate at which it is used/removed. So, for the metabolic component of the ODE, the rate at which the intracellular concentration of metabolites (β, γ, δ and ε) change over time is purely determined through the relative activity (described by MM equations) of the enzymes creating or removing the metabolite. The rate at which once substrate is removed is directly equal to the rate at which the associated product is created, for instance, the rate at which γ is removed is the rate at which δ is formed. By observing how each intermediate simultaneously acts as a substrate and product, it is easy to see how this process gives rise to a connected system of equations.

(Luckily) the enzymes of our metabolic pathway are accurately described by MM kinetics and all constants were available in the literature. The system is based on the forward and reverse kinetic rate (k1 and k-1 respectively) of substrate-enzyme binding followed by the irreversible catalytic step of product formation (k2) as depicted in the figure below:

Igem pathway 1.png
The rate of catalysis for an enzyme is a function of the enzyme and substrate concentration and incorporates the catalytic constant kcat and the Michalies constant KM, which are given in most of the literature that involves enzyme kinetics.
Igem Re.jpg

The symbol RE denotes the reaction rate: ie the rate of product formation (which is equal to the rate of substrate removal).

Igem Re= dproduct.png

DCA Diffusion Across the Plasma Membrane

The diffusion of DCA across the cell membrane was modelled based on Fick’s first law of diffusion:

J=p.png
Fick’s first law of diffusion is appropriate since 1,2-DCA is non-polar. The law states that the flux, J, of DCA across the membrane is equal to the permeability coefficient, P, times the concentration difference of DCA across the cell membrane. The flux has units has units L2 T-1. The permeability coefficient of DCA is not reported in the literature, but can be estimated through the relation:
P=kow.png
Where D is the diffusion constant of DCA across the plasma membrane and d is the length of the membrane. The partition coefficient for DCA across a plasma membrane is not documented, but can be estimated to the octanal-water partition coefficient (Kow). This constant is the equilibrium ratio of DCA in octanol and water. The diffusion constant, D, is not documented in the literature but can be estimated through the Stokes-Einstein equation based on an estimation of the radius of DCA and viscosity of the cellular membrane.


D=kb.png


The Stokes-Einstein equation for determining the diffusion constant D. kb, T, η & r represent the Boltzmann constant, temperature, viscosity of the membrane and radius of DCA respectively. Here we must assume DCA is spherical. The ‘radius’ of DCA isn’t described in the literature. But the van der Waal constant, b, can be used to calculate the van der Waal volume, VW, and hence the van der Waal radius, rW3. Note DCA is not spherical, and this method is used to calculate atoms.


Igem b=.png

In Summary, the flux across the membrane is:

Igem summary J=.png


Summary of Constants
Symbol Name Value (units) Ref
η Cellular Membrane Viscosity 1.9 kg/m/s [6]
S E. coli Membrane Surface Area 6x10-12 m2 [7]
r DCA radius 0.3498 nm [8]
Kow Octanol-water Partition Coefficient for DCA 28.2 [9]
d Length of Cellular Membrane  ??? [10]

Extending the System to Cell Cultures

The model can be extended to a homogeneous solution/culture of cells. Let Ψ represent the concentration of the cells in solution. The overall rate of decrease of DCA (αtotal) in solution is
Igem datot=daout.png

By applying this change, the resulting values of αinout, β, γ & δ represent the metabolite concentration across all cells.

Furthermore the cells are expected to grow due to the production of glycolate (which can be used as a carbon source for growth).
Igem dpsi=f.png
The rate at which E. coli can grow based on the amount of glycolate is not described in the literature. However one will be able to infer the growth as a function of amount of glycolate, ε, in the cell through experimentation.


With thanks to: