title: The linear interplay of intrinsic and extrinsic noises ensures a high accuracy of cell fate selection in budding yeast.
abstract: To gain insights into the mechanisms of cell fate decision in a noisy environment, the effects of intrinsic and extrinsic noises on cell fate are explored at the single cell level. Specifically, we theoretically define the impulse of Cln1/2 as an indication of cell fates. The strong dependence between the impulse of Cln1/2 and cell fates is exhibited. Based on the simulation results, we illustrate that increasing intrinsic fluctuations causes the parallel shift of the separation ratio of Whi5P but that increasing extrinsic fluctuations leads to the mixture of different cell fates. Our quantitative study also suggests that the strengths of intrinsic and extrinsic noises around an approximate linear model can ensure a high accuracy of cell fate selection. Furthermore, this study demonstrates that the selection of cell fates is an entropy-decreasing process. In addition, we reveal that cell fates are significantly correlated with the range of entropy decreases.
authors.affiliation: 1] School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China [2] School of Computer, Wuhan University, Wuhan 430072, China.
authors.forename: Yongkai
authors.initials: Y
authors.lastname: Li
authors.affiliation: 1] Key Laboratory of Magnetic Resonance in Biological Systems, Wuhan Institute of Physics and Mathematics [2] National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, Beijing, P. R. China.
authors.forename: Ming
authors.initials: M
authors.lastname: Yi
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China.
authors.forename: Xiufen
authors.initials: X
authors.lastname: Zou
mesh_terms: D003198:Computer Simulation; D016213:Cyclins / Q000378:metabolism; D019277:Entropy; D008938:Mitosis; D008954:Models, Biological; D012097:Repressor Proteins / Q000378:metabolism; D012441:Saccharomyces cerevisiae / Q000166:cytology / Q000502:physiology*; D029701:Saccharomyces cerevisiae Proteins / Q000378:metabolism; D059010:Single-Cell Analysis
chemical_list: C082719:CLN1 protein, S cerevisiae; C082721:CLN2 protein, S cerevisiae; D016213:Cyclins; D012097:Repressor Proteins; D029701:Saccharomyces cerevisiae Proteins; C508130:Whi5 protein, S cerevisiae