Literature DB >> 11926115

Diffusion approximation of the stochastic process of microtubule assembly.

Ivan V Maly1.   

Abstract

Microtubules are protein polymers that guide intracellular motility. Stochastic switching of a microtubule between states of elongation, shortening, and pause is described in detail by the dynamic instability (DI) model. Recently we have described the dynamics of microtubules phenomenologically as generalized diffusion of their ends. Genesis of the diffusion dynamics and accuracy of diffusion model are studied in this work. It is shown that wandering of the end of a microtubule undergoing DI asymptotically approaches the Wiener diffusion process. Accuracy of the diffusion approximation is evaluated by comparing its predictions with results of simulation of DI. Stationary distributions of microtubule length and life-time that are predicted by both models differ qualitatively between two cell types considered. However, predictions of the diffusion model are in each case practically identical to predictions of the DI model being also consistent with experimental data. The peculiar stochastic process of microtubule assembly thus converges at cell scale to a kind of widespread-in-nature diffusion process. This result is considered an example of qualitative change in dynamical properties in transition from the molecular to cellular level of biological organization. Additionally, it suggests employment of diffusion process theory in studying functions of microtubules in the cell.

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Year:  2002        PMID: 11926115     DOI: 10.1006/bulm.2001.0265

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  8 in total

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Authors:  E M Craig; S Dey; A Mogilner
Journal:  J Phys Condens Matter       Date:  2011-08-23       Impact factor: 2.333

3.  Behaviors of individual microtubules and microtubule populations relative to critical concentrations: dynamic instability occurs when critical concentrations are driven apart by nucleotide hydrolysis.

Authors:  Erin M Jonasson; Ava J Mauro; Chunlei Li; Ellen C Labuz; Shant M Mahserejian; Jared P Scripture; Ivan V Gregoretti; Mark Alber; Holly V Goodson
Journal:  Mol Biol Cell       Date:  2019-10-02       Impact factor: 4.138

4.  Progressive transverse microtubule array organization in hormone-induced Arabidopsis hypocotyl cells.

Authors:  Laura Vineyard; Andrew Elliott; Sonia Dhingra; Jessica R Lucas; Sidney L Shaw
Journal:  Plant Cell       Date:  2013-02-26       Impact factor: 11.277

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Authors:  Ivan V Maly
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

6.  Quantification of microtubule stutters: dynamic instability behaviors that are strongly associated with catastrophe.

Authors:  Shant M Mahserejian; Jared P Scripture; Ava J Mauro; Elizabeth J Lawrence; Erin M Jonasson; Kristopher S Murray; Jun Li; Melissa Gardner; Mark Alber; Marija Zanic; Holly V Goodson
Journal:  Mol Biol Cell       Date:  2022-02-02       Impact factor: 3.612

7.  Fast microtubule dynamics in meiotic spindles measured by single molecule imaging: evidence that the spindle environment does not stabilize microtubules.

Authors:  Daniel J Needleman; Aaron Groen; Ryoma Ohi; Tom Maresca; Leonid Mirny; Tim Mitchison
Journal:  Mol Biol Cell       Date:  2009-11-25       Impact factor: 4.138

8.  Deterministic mechanical model of T-killer cell polarization reproduces the wandering of aim between simultaneously engaged targets.

Authors:  Mun Ju Kim; Ivan V Maly
Journal:  PLoS Comput Biol       Date:  2009-01-09       Impact factor: 4.475

  8 in total

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