Jain Ishutesh, Rao Madan, Tran Phong T
Institut Curie, PSL Universite, Sorbonne Universite, CNRS UMR 144, 75005 Paris, France.
Simons Centre for the Study of Living Machines, National Centre for Biological Sciences - TIFR, Bangalore 560065, India.
iScience. 2023 Apr 13;26(5):106665. doi: 10.1016/j.isci.2023.106665. eCollection 2023 May 19.
Cell centers their division apparatus to ensure symmetric cell division, a challenging task when the governing dynamics is stochastic. Using fission yeast, we show that the patterning of nonequilibrium polymerization forces of microtubule (MT) bundles the precise localization of spindle pole body (SPB), and hence the division septum, at the onset of mitosis. We define two cellular objectives, , the mean SPB position relative to the geometric center, and , the variance of the SPB position, which are sensitive to genetic perturbations that change cell length, MT bundle number/orientation, and MT dynamics. We show that simultaneous control of reliability and robustness is required to minimize septum positioning error achieved by the wild type (WT). A stochastic model for the MT-based nucleus centering, with parameters measured directly or estimated using Bayesian inference, recapitulates the maximum fidelity of WT. Using this, we perform a sensitivity analysis of the parameters that control nuclear centering.
细胞将其分裂装置集中起来以确保对称细胞分裂,而当调控动力学是随机的时候,这是一项具有挑战性的任务。利用裂殖酵母,我们表明微管(MT)束的非平衡聚合力模式——纺锤体极体(SPB)的精确定位,进而在有丝分裂开始时分裂隔膜的定位。我们定义了两个细胞目标, ,即SPB相对于几何中心的平均位置,以及 ,即SPB位置的方差,它们对改变细胞长度、MT束数量/方向和MT动力学的基因扰动敏感。我们表明,需要同时控制可靠性和稳健性,以最小化野生型(WT)实现的隔膜定位误差。基于MT的细胞核居中的随机模型,其参数通过直接测量或使用贝叶斯推理估计,概括了WT的最大保真度。利用这个模型,我们对控制细胞核居中的参数进行了敏感性分析。