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Molecular Biology of the Cell by Bruce Alberts, Alexander Johnson, Julian Lewis, David Morgan, Martin Raff, Keith Roberts, Peter Walter by by Bruce Alberts, Alexander Johnson, Julian Lewis, David Morg

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514 Chapter 8: Analyzing Cells, Molecules, and Systems

degraded is defined as its mean lifetime, τ. In our current example, the rate of degradation

of protein X depends on its mean lifetime τ X , which takes into account

active degradation as well as its dilution as the cell grows. The degradation rate

depends on the concentration of protein X and is calculated by dividing this concentration

by the lifetime (Figure 8–74A).

With equations for rates of production and degradation in hand, we can now

generate a differential equation to determine the rate of change of protein X as a

function of time (Equation 8–5, Figure 8–74B). This equation can be solved by the

numerical methods mentioned earlier. According to the solution of this equation,

when transcription begins, the concentration of protein X rises to a steady-state

level at which the concentration of X is not changing anymore; that is, its rate of

change is zero. When this occurs, rearrangement of Equation 8–5 yields an equation

that can be used to determine the steady-state value of X, [X st ] (Equation 8–6,

Figure 8–74C). An important concept emerges from the mathematics: the steadystate

concentration of a gene product is directly proportional to its lifetime. If lifetime

doubles, protein concentration doubles as well.

The Time Required to Reach Steady State Depends on Protein

Lifetime

We can see from Equation 8–6 (see Figure 8–74C) that when the concentration

of protein A rises, protein X increases to a new steady-state value, [X st ]. But this

cannot happen instantaneously. Instead, X changes dynamically according to the

solution of its differential rate equation (Equation 8–5). The solution of this equation

reveals that the concentration of X over time is related to its steady-state concentration

according to the equation in Figure 8–74D. Once again, mathematics

uncovers a simple but important concept that is not intuitively obvious: following

a sudden increase in [A], [X] rises to a new steady state at an exponential rate that

is inversely related to its lifetime; the faster X is degraded, the less time it takes it to

reach its new steady-state value (Figure 8–74E). The faster response time comes at

a higher metabolic cost, however, since proteins with a rapid response time must

be produced and degraded at a high rate. For proteins that are not rapidly turned

over, the response time is very long, and protein concentration is determined primarily

by the dilution that results from cell growth and division.

Quantitative Methods Are Similar for Transcription Repressors and

Activators

Positive control is not the only mechanism that cells use to regulate the expression

of their genes. As we discussed in Chapter 7, cells also actively shut off genes,

often by employing transcription repressor proteins that bind to specific sites on

target genes, thereby blocking access to RNA polymerase. We can analyze the

function of these repressors by the same quantitative methods described above

for transcription activators. If a repressor protein R binds to the regulatory region

of gene X and represses its transcription, then the fraction of gene binding sites

occupied by the repressor is specified by the same equation we used earlier for

the transcription activator (Figure 8–75A). In this case, however, it is only when

the DNA is free that RNA polymerase can bind to the promoter and transcribe the

gene. Thus, the quantity of interest is the unbound fraction, which can be viewed

as the probability that the site is free, averaged over multiple binding and unbinding

events. When the repressor concentration is zero, the unbound fraction is 1

and the promoter is fully active; when the repressor concentration greatly exceeds

1/K, the unbound fraction approaches zero. Figures 8–75B and C compare these

relationships for a transcription activator and a transcription repressor.

We can create a differential equation that provides the rate of change in protein

X when repressor concentrations change (Equation 8–7, Figure 8–75D). As in

the case of the transcription activator, the steady-state concentration of protein

X increases as its lifetime increases, but it decreases as the concentration of the

transcription repressor increases.

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