Back to Search Start Over

Relaxation and Noise-Driven Oscillations in a Model of Mitotic Spindle Dynamics.

Authors :
Hargreaves D
Woolner S
Jensen OE
Source :
Bulletin of mathematical biology [Bull Math Biol] 2024 Aug 03; Vol. 86 (9), pp. 113. Date of Electronic Publication: 2024 Aug 03.
Publication Year :
2024

Abstract

During cell division, the mitotic spindle moves dynamically through the cell to position the chromosomes and determine the ultimate spatial position of the two daughter cells. These movements have been attributed to the action of cortical force generators which pull on the astral microtubules to position the spindle, as well as pushing events by these same microtubules against the cell cortex and plasma membrane. Attachment and detachment of cortical force generators working antagonistically against centring forces of microtubules have been modelled previously (Grill et al. in Phys Rev Lett 94:108104, 2005) via stochastic simulations and mean-field Fokker-Planck equations (describing random motion of force generators) to predict oscillations of a spindle pole in one spatial dimension. Using systematic asymptotic methods, we reduce the Fokker-Planck system to a set of ordinary differential equations (ODEs), consistent with a set proposed by Grill et al., which can provide accurate predictions of the conditions for the Fokker-Planck system to exhibit oscillations. In the limit of small restoring forces, we derive an algebraic prediction of the amplitude of spindle-pole oscillations and demonstrate the relaxation structure of nonlinear oscillations. We also show how noise-induced oscillations can arise in stochastic simulations for conditions in which the mean-field Fokker-Planck system predicts stability, but for which the period can be estimated directly by the ODE model and the amplitude by a related stochastic differential equation that incorporates random binding kinetics.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1522-9602
Volume :
86
Issue :
9
Database :
MEDLINE
Journal :
Bulletin of mathematical biology
Publication Type :
Academic Journal
Accession number :
39096399
Full Text :
https://doi.org/10.1007/s11538-024-01341-w