Dynein-driven self-organization of microtubules: An entropy- and network-based analysis
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866914796215992320 |
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| author | Frolov, Nikita Bijnens, Bram Ruiz-Reynés, Daniel Gelens, Lendert |
| author_facet | Frolov, Nikita Bijnens, Bram Ruiz-Reynés, Daniel Gelens, Lendert |
| contents | Microtubules self-organize to form part of the cellular cytoskeleton. They give cells their shape and play a crucial role in cell division and intracellular transport. Strikingly, microtubules driven by motor proteins reorganize into stable mitotic/meiotic spindles with high spatial and temporal precision during successive cell division cycles. Although the topic has been extensively studied, the question remains: What defines such microtubule networks' spatial order and robustness? Here, we aim to approach this problem by analyzing a simplified computational model of radial microtubule self-organization driven by a single type of motor protein -- dyneins. We establish that the spatial order of the steady-state pattern is likely associated with the dynein-driven microtubule motility. At the same time, the structure of the microtubule network is likely linked to its connectivity at the beginning of self-organization. Using the continuous variation of dynein concentration, we reveal hysteresis in microtubule self-organization, ensuring the stability of radial filament structures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_00539 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Dynein-driven self-organization of microtubules: An entropy- and network-based analysis Frolov, Nikita Bijnens, Bram Ruiz-Reynés, Daniel Gelens, Lendert Adaptation and Self-Organizing Systems Pattern Formation and Solitons Subcellular Processes Microtubules self-organize to form part of the cellular cytoskeleton. They give cells their shape and play a crucial role in cell division and intracellular transport. Strikingly, microtubules driven by motor proteins reorganize into stable mitotic/meiotic spindles with high spatial and temporal precision during successive cell division cycles. Although the topic has been extensively studied, the question remains: What defines such microtubule networks' spatial order and robustness? Here, we aim to approach this problem by analyzing a simplified computational model of radial microtubule self-organization driven by a single type of motor protein -- dyneins. We establish that the spatial order of the steady-state pattern is likely associated with the dynein-driven microtubule motility. At the same time, the structure of the microtubule network is likely linked to its connectivity at the beginning of self-organization. Using the continuous variation of dynein concentration, we reveal hysteresis in microtubule self-organization, ensuring the stability of radial filament structures. |
| title | Dynein-driven self-organization of microtubules: An entropy- and network-based analysis |
| topic | Adaptation and Self-Organizing Systems Pattern Formation and Solitons Subcellular Processes |
| url | https://arxiv.org/abs/2305.00539 |