Stable stochastic dynamics in yeast cell cycle

• Published in: arXiv.org
• Main Authors: Okabe, Yurie, Sasai, Masaki
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 11.07.2007
• Subjects: Cell cycle; Chemical reactions; Computer simulation; Noise; Noise prediction; Organic chemistry; Physiology; Proteins; Quantitative Biology - Molecular Networks; Variations; Yeast
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.0707.1579

Chemical reactions in cell are subject to intense stochastic fluctuations. An important question is how the fundamental physiological behavior of cell is kept stable against those noisy perturbations. In this paper a stochastic model of cell cycle of budding yeast is constructed to analyze the effects of noise on the cell cycle oscillation. The model predicts intense noise in levels of mRNAs and proteins, and the simulated protein levels explain the observed statistical tendency of noise in populations of synchronous and asynchronous cells. In spite of intense noise in levels of proteins and mRNAs, cell cycle is stable enough to bring the largely perturbed cells back to the physiological cyclic oscillation. The model shows that consecutively appearing fixed points are the origin of this stability of cell cycle.