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Microtubules self-organize to form part of the cellular cytoskeleton. Theygive cells their shape and play a crucial role in cell division andintracellular transport. Strikingly, microtubules driven by motor proteinsreorganize into stable mitotic/meiotic spindles with high spatial and temporalprecision during successive cell division cycles. Although the topic has beenextensively studied, the question remains: What defines such microtubulenetworks' spatial order and robustness? Here, we aim to approach this problemby analyzing a simplified computational model of radial microtubuleself-organization driven by a single type of motor protein -- dyneins. Weestablish that the spatial order of the steady-state pattern is likelyassociated with the dynein-driven microtubule motility. At the same time, thestructure of the microtubule network is likely linked to its connectivity atthe beginning of self-organization. Using the continuous variation of dyneinconcentration, we reveal hysteresis in microtubule self-organization, ensuringthe stability of radial filament structures.

Dynein-driven self-organization of microtubules: An entropy- and network-based analysis