Cell-cycle coupled expression minimizes random fluctuations in gene product levels

TL;DR

This paper models how coupling gene expression to the cell cycle affects protein level variability, revealing strategies that minimize noise through timing of expression and partitioning errors.

Contribution

It introduces a mathematical framework analyzing the impact of cell-cycle-dependent gene expression on protein noise, identifying optimal expression timing strategies.

Findings

Expression only before cell division minimizes burst noise.

Expression immediately after division reduces partitioning error impact.

Cell-cycle coupling can balance different sources of gene expression noise.

Abstract

Expression of many genes varies as a cell transitions through different cell-cycle stages. How coupling between stochastic expression and cell cycle impacts cell-to-cell variability (noise) in the level of protein is not well understood. We analyze a model, where a stable protein is synthesized in random bursts, and the frequency with which bursts occur varies within the cell cycle. Formulas quantifying the extent of fluctuations in the protein copy number are derived and decomposed into components arising from the cell cycle and stochastic processes. The latter stochastic component represents contributions from bursty expression and errors incurred during partitioning of molecules between daughter cells. These formulas reveal an interesting trade-off: cell-cycle dependencies that amplify the noise contribution from bursty expression also attenuate the contribution from partitioning errors. We investigate existence of optimum strategies for coupling expression to the cell cycle that minimize the stochastic component. Intriguingly, results show that a zero production rate throughout the cell cycle, with expression only occurring just before cell division minimizes noise from bursty expression for a fixed mean protein level. In contrast, the optimal strategy in the case of partitioning errors is to make the protein just after cell division. We provide examples of regulatory proteins that are expressed only towards the end of cell cycle, and argue that such strategies enhance robustness of cell-cycle decisions to the intrinsic stochasticity of gene expression.