Methylation Levels

Aim: To review the methods used for analysing one-variable dynamical models by examining how DNA methylation levels change over time.

In vertebrates, a very large proportion of CpG sites in the genome have methylated cytosines (75-85%).

Newly replicated DNA is unmethylated. Methylases recognize sites where the parental strand is methylated and the daughter strand is not and tend to methylate the daughter strand: maintenance methylation.

In addition to maintenance methylation, occasionally a site that was not previously methylated becomes methylated: de novo methylation.

Questions:

Model: Let

Methylation Levels

From these definitions, we can find the proportion of methylated sites in the next cell generation:

p[t+1] = p[t] + (1 - p[t])

The proportion of unmethylated sites in the next cell generation would be:

q[t+1] = (1-) p[t] + (1-) (1 - p[t])

Check: Is p[t+1]+q[t+1] still equal to one?

Methods of Analysis. I. Graphing

Methylation Levels

Methods of Analysis. II. Equilibria

When p[t+1]=p[t], the system is at equilibrium. Let denote this value of p.

From the recursion, must solve

= + (1 - )

Putting the terms all on the same side:

(1- + ) =

The ONLY solution to this equation is

= /(1- + )

Methods of Analysis. III. Local Stability Analysis

Let f(p) be given by the recursion:

f(p) = p + (1 - p)

f'(p) = d(f(p))/dp is:

f'(p) = -

Therefore f'() evaluated at is ( - ).

Methylation Levels

Empirical measurements indicate that maintenance methylation is about 10 to 100 times more common than de novo methylation.

Therefore, it is biologically reasonable to assume that is greater than , so that a smooth approach to equilibrium is predicted.

Methods of Analysis. IV. General Solution.

Finding the general solution is easier if we perform a transformation of variables.

With only one possible equilibrium, the best new variable to try is the difference between the current level of methylated CpG sites and the equilibrium level: x[t] = p[t]-.

The recursion then becomes

x[t+1] = p[t+1] - = p[t] + (1 - p[t]) -

x[t+1] = x[t] ( - )

This is much easier to iterate:

x[t] = x[t-1] ( - ) = x[t-2] ( - )2...

x[t] = x[0] ( - )t

This is the general solution in terms of x[t]. In terms of p[t], we have:

p[t] = x[t] + = (p[0] - ) ( - )t +

Methylation Levels

Finally, we can answer our initial questions.

How do methylation levels change over time?

Do they reach a stable equilibrium level in the genome? If a large proportion of methyl groups are removed (e.g. by exposure to a cytosine analog, 5-azacytidine, that cannot be methylated), how long until the methylation levels approach equilibrium?

Methylation Levels

To proceed further, we must estimate the parameters.

In vertebrates, approximately 80% of CpG sites are methylated () and is approximately 50 .

This gives us two equations in two unknowns ( and ) which we can then solve for and :

= 50

0.8 = = /(1- + )

Plugging the first equation into the second gives:

0.8 = /(1- 50 + )

0.8(1-49 ) =

= 0.0199 and =0.9950.

Therefore it takes approximately t = Log[0.05]/Log[0.9950 - 0.0199] = 118.8 cell generations for the genome to return to near equilibrium levels of methylation from a state in which no CpG sites are methylated.

Since it is estimated that 20-100 cell generations occur per individual generation for vertebrates, this indicates that methylation levels will return to near equilibrium within a few individual generations.

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