We develop a computational model of fission-yeast mitosis using a course-grained Brownian Dynamic framework in conjunction with a force-dependent kinetic Monte Carlo algorithm to replicate the biorientation and segregation of chromosomes.
We develop a torque-balance model that describes spindle assembly due to dynamic microtubule bundles, spindle-pole bodies, the nuclear envelope, and crosslinkers to predict spindle-assembly dynamics.
Pushing forces generated by microtubule polymerization are sufficient to promote spindle pole separation and the assembly of bipolar spindle in the absence of molecular motors.
Microtubules, motors, and cross-linkers are important for bipolarity, but the mechanisms necessary and sufficient for spindle assembly remain unknown. We describe a physical model that exhibits de novo bipolar spindle formation.
