Mathematic Analysis on AlkSensor

Contents 1 Model Objective 2 Problem Description 3 Problem Abstraction 4 Assumption 5 Model Development 6 Analysis & Discussion 7 Achievement

Model Objective

To perform a mathematic analysis on AlkSensor, to find out the relationship between AlkSensor’s input and output, to find ways to specifically regulate the function of AlkSensor, to find the factors affecting sensor’s leakage.

Problem Description

AlkSensor is composed of protein ALKR and promoter alkM. Genes of ALKR and alkM were synthesized and constructed into a plasmid, as shown in figure 1. As mentioned in the introduction, protein ALKR is a transcription factor which can recognize certain alkanes. ALKR is under a constitutive promoter and is constitutively expressed. Alkane molecules is recognized by ALKR and a dimerized ALKR-alkane complex is formed. Subsequently the reporter’s promoter alkM is induced by the complex and the genes in the downstream of alkM are expressed. However, promoter alkM could also be slightly induced when inducers are absent from the system. There are possibilities that dierized ALKR binds on promoter alkM and activates the downstream genes.

Problem Abstraction

The mechanism of AlkSensor can be represented by a set of chemical reactions, as shown below.

Figure 2. Chemical reactions of AlkSensor

• Reaction 1: the generation of protein ALKR.

• Reaction 2: the degradation of protein ALKR

• Reaction 3: the dimerization of protein ALKR(AR2-A denotes the dimerized ALKR-alkane complex)

• Reaction 4: the combination of dimerized ALKR with alkane(Pm denotes promoter alkM)

• Reaction 5: the combination of dimerized ALKR-alkane complex with promoter alkM(Pm’ denotes the promoter alkM binding with inducer)

• Reaction 6: the combination of dimerized ALKR with promoter alkM(Pm’’ denotes the promoter alkM binding with dimerized ALKR)

• Reaction 7: the generation of reporter (RNAP denote the RNA polymerase, Rp denotes reporter )

• Reaction 8: the leakage of AlkSensor

• Reaction 9: the the degradation of reporter

Assumption

There are several assumptions in the abstraction of AlkSensor.

• Because the genes of ALKR is under a constitutive promoter, we assume that the generation rate of ALKR is constant.

• The four binding reactions, i.e, reaction 3, 4, 5 and 6 are fast reversible reactions since DNA binding and unbinding of the repressors dimers and the dimerization itself occur within seconds, whereas the synthesis (transcription, translation, folding) and degradation of monomers takes minutes to sometimes an hour.

Reaction 3, 4, 5 and 6 can be integrated into two reversible questions. Therefore, the 9 reactions can be simplified as 7 reactions.

Figure 3. Simplified form of AlkSensor’s chemical reactions

Model Development

Reaction 3 and 4 are fast reversible reactions because DNA binding and unbinding of the transcription factor dimers and the dimerization itself occur within seconds. However the synthesis and degradation of monomers takes minutes to sometimes an hour. Therefore, the three reactions are in equilibrium and the steady state concentrations are given in terms of the equilibrium constants. The accumulation rates of ALKR and reporter are subject to their generation rate and degradation rate, which is described by two ordinary differential equations (ODE). So the mechanism of AlkSensor can be described by a mathematical model consisting of 2 ordinary differential equations (ODE) and three equilibrium equation. The input of AlkSensor can be defined as the concentration alkane, the output can be defined as the concentration of reporter protein, as shown in figure 2.

In the first equation, there are four terms that determine the accumulation rate of reporter, the generation rate of reporter, the leakage rate of AlkSensor, the basal expression rate of reporter, the degradation rate of reporter. In the second equation, there are four terms that determine the accumulation rate of ALKR, the generation rate of ALKR, the degradation rate of ALKR, the dilution rate of ALKR. The last 3 equation describe the quantitative relation in reaction 3 and 4.

The [Pm’] and [Pm’’] are still intermediate variables, we next deduce the value of [Pm’] and [Pm’’].

The total concentration of promoter alkM is thought to be a constant, which is proportional to the copy number of alkM.

So we can get the expression of [Pm], [Pm’] and [Pm’’]

Then we substitute [Pm’] and [Pm’] with the terms on the right side of the equation.

When the leakage of ALKR’s promoter is little, the terms r can be ignored. When the system reach a steady state, the accumulation rate of Rp is zero. In such a condition, the response function of AlkSensor can be described as the equation below.

We can simplify the response function into an elegant form, in which x denotes the input, y denotes the output, a, b and c are three parameters.

• k’: the expression rate constant of promoter alkM;
• k_d: the degradation constant of protein ALKR, thought to be a constant;
• P₀: the concentration of RNAP, constant;
• [P_t]: the total concentration of promoter alkM, which is proportional to the copy number. This is easily changeable. We can change it through construct alkM on different plasmid with varying copy number.

Analysis & Discussion

The output has a monotone increasing relation with the input. When the input is large enough, the output reaches its maximum value, a, which is proportional to the amount of promoter alkM. When there is no input, the output has a smallest value, i.e. the value of leakage. We can easily obtain the value of dynamic range by dividing the maximum response into the value of leakage.

There are two parameters that can be rationally regulated, [P_t] and [ALKR]. We can control [P_t] by adjust the copy number of promoter alkM and control [ALKR] by adjusting the strength of its promoter. Therefore, we have the ability to regulate the value of a and b, that is to say, the maximum response, leakage and dynamic range of AlkSensor can all be rationally regulated.

Figure 5 shows a set of response curves of AlkSensor with different expression levels of ALKR. When there is no ALKR expressed, the response curve is a horizontal line, suggesting that AlkSensor has no ability to distinguish different inputs. With the increase of [ALKR], the leakage increase, however, the maximum response remains the same value, which makes the dynamic range decrease. When [ALKR] is too large, the response curve turns to be a horizontal line again. AlkSensor loses its function in this case.

Achievement

In this model, we have

• identified the pattern of AlkSensor’s response curve,
• proposed a template for experimental data of AlkSensor,
• found ways to evaluate AlkSensor,
• developed strategies to rationally regulate AlkSensor.