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Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites.

Publication ,  Journal Article
Scanlon, HG; Mahata, G; Nelson, AC; McKinley, SA; Rolls, MM; Ciocanel, M-V
Published in: Mathematical biosciences
November 2025

The microtubule cytoskeleton is comprised of dynamic, polarized filaments that facilitate transport within the cell. Polarized microtubule arrays are key to facilitating cargo transport in long cells such as neurons. Microtubules also undergo dynamic instability, where the plus and minus ends of the filaments switch between growth and shrinking phases, leading to frequent microtubule turnover. Although microtubules often completely disassemble and new filaments nucleate, microtubule arrays have been observed to both maintain their biased orientation throughout the cell lifetime and to rearrange their polarity as an adaptive response to injury. Motivated by cytoskeleton organization in neurites, we propose a spatially-explicit stochastic model of microtubule arrays and investigate how nucleation of new filaments could generate biased polarity in a simple linear domain. Using a continuous-time Markov chain model of microtubule growth dynamics, we model and parameterize two experimentally-validated nucleation mechanisms: nucleation feedback, where the direction of filament growth depends on existing microtubule content, and a checkpoint mechanism, where microtubules that nucleate in a direction opposite to the majority experience frequent catastrophe. When incorporating these validated mechanisms into the spatial model, we find that nucleation feedback is sufficient to establish biased polarity in neurites of different lengths, and that the emergence and maintenance of biased polarity is relatively stable in spite of stochastic fluctuations. This work provides a framework to study the relationship between microtubule nucleation and polarity, and could extend to give insights into mechanisms that drive the formation of polarized filament arrays in other biological settings.

Duke Scholars

Published In

Mathematical biosciences

DOI

EISSN

1879-3134

ISSN

0025-5564

Publication Date

November 2025

Volume

389

Start / End Page

109538

Related Subject Headings

  • Stochastic Processes
  • Neurites
  • Models, Biological
  • Microtubules
  • Markov Chains
  • Cell Polarity
  • Bioinformatics
  • Animals
  • 49 Mathematical sciences
  • 31 Biological sciences
 

Citation

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ICMJE
MLA
NLM
Scanlon, H. G., Mahata, G., Nelson, A. C., McKinley, S. A., Rolls, M. M., & Ciocanel, M.-V. (2025). Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites. Mathematical Biosciences, 389, 109538. https://doi.org/10.1016/j.mbs.2025.109538
Scanlon, Hannah G., Gibarni Mahata, Anna C. Nelson, Scott A. McKinley, Melissa M. Rolls, and Maria-Veronica Ciocanel. “Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites.Mathematical Biosciences 389 (November 2025): 109538. https://doi.org/10.1016/j.mbs.2025.109538.
Scanlon HG, Mahata G, Nelson AC, McKinley SA, Rolls MM, Ciocanel M-V. Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites. Mathematical biosciences. 2025 Nov;389:109538.
Scanlon, Hannah G., et al. “Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites.Mathematical Biosciences, vol. 389, Nov. 2025, p. 109538. Epmc, doi:10.1016/j.mbs.2025.109538.
Scanlon HG, Mahata G, Nelson AC, McKinley SA, Rolls MM, Ciocanel M-V. Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites. Mathematical biosciences. 2025 Nov;389:109538.
Journal cover image

Published In

Mathematical biosciences

DOI

EISSN

1879-3134

ISSN

0025-5564

Publication Date

November 2025

Volume

389

Start / End Page

109538

Related Subject Headings

  • Stochastic Processes
  • Neurites
  • Models, Biological
  • Microtubules
  • Markov Chains
  • Cell Polarity
  • Bioinformatics
  • Animals
  • 49 Mathematical sciences
  • 31 Biological sciences