Literature DB >> 27592217

Spatial pattern formation in microtubule post-translational modifications and the tight localization of motor-driven cargo.

Abdon Iniguez1, Jun Allard2,3.   

Abstract

Microtubule (MT) "age" can be interpreted as nucleotide state, lattice defects, or post-translational modification (PTM) such as acetylation and detyrosination. In all three cases, these have been recently shown to have functionally-important effects on the dynamics of MT arrays, and can present spatial and temporal heterogeneity. While mathematical models for MT array densities are well-established, here we present equations describing MT age, defined as the mean time since the MT's building blocks (tubulin) were polymerized from their soluble dimer state. We derive the age equations using a mean first-passage time calculation and two complementary approaches: The continuum limit of spatial discretization model, and an adjoint operator approach. These equations can recapitulate the observation that the oldest (most de-tyrosinated) tubulin in axons is near the middle of axons during neuronal development in chick embryos. Furthermore, PTMs influence motor kinetics up to approximately twofold for off-rates and velocities. Our simulations demonstrate that this relatively weak dependence of motor kinetics is sufficient to target motor cargo to a specific location along the array. This localization is tightly peaked in a way that magnifies the relatively small signal of PTM spatial heterogeneity. Thus, MT age can produce long-range spatial patterning without feedbacks or diffusing signals.

Entities:  

Keywords:  De-tyrosination; Dynein; First passage time; Kinesin; Microtubules; Pattern formation

Mesh:

Substances:

Year:  2016        PMID: 27592217      PMCID: PMC6606455          DOI: 10.1007/s00285-016-1053-x

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  33 in total

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4.  Application of quasi-steady state methods to molecular motor transport on microtubules in fungal hyphae.

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5.  Microtubule patterning in the presence of moving motor proteins.

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Journal:  J Theor Biol       Date:  2015-07-06       Impact factor: 2.691

6.  Microtubule Defects Influence Kinesin-Based Transport In Vitro.

Authors:  Winnie H Liang; Qiaochu Li; K M Rifat Faysal; Stephen J King; Ajay Gopinathan; Jing Xu
Journal:  Biophys J       Date:  2016-05-24       Impact factor: 4.033

7.  Kinesin-1 regulates synaptic strength by mediating the delivery, removal, and redistribution of AMPA receptors.

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Journal:  Neuron       Date:  2013-12-18       Impact factor: 17.173

8.  Life cycle of MTs: persistent growth in the cell interior, asymmetric transition frequencies and effects of the cell boundary.

Authors:  Yulia A Komarova; Ivan A Vorobjev; Gary G Borisy
Journal:  J Cell Sci       Date:  2002-09-01       Impact factor: 5.285

9.  A CLASP-modulated cell edge barrier mechanism drives cell-wide cortical microtubule organization in Arabidopsis.

Authors:  Chris Ambrose; Jun F Allard; Eric N Cytrynbaum; Geoffrey O Wasteneys
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  4 in total

1.  Mathematical modeling of the microtubule detyrosination/tyrosination cycle for cell-based drug screening design.

Authors:  Jeremy Grignard; Véronique Lamamy; Eva Vermersch; Philippe Delagrange; Jean-Philippe Stephan; Thierry Dorval; François Fages
Journal:  PLoS Comput Biol       Date:  2022-06-27       Impact factor: 4.779

Review 2.  Mechanisms of Chromosome Congression during Mitosis.

Authors:  Helder Maiato; Ana Margarida Gomes; Filipe Sousa; Marin Barisic
Journal:  Biology (Basel)       Date:  2017-02-17

Review 3.  Tubulin post-translational modifications control neuronal development and functions.

Authors:  Marie-Jo Moutin; Christophe Bosc; Leticia Peris; Annie Andrieux
Journal:  Dev Neurobiol       Date:  2020-08-29       Impact factor: 3.964

4.  Tubulin carboxypeptidase activity of vasohibin-1 inhibits angiogenesis by interfering with endocytosis and trafficking of pro-angiogenic factor receptors.

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Journal:  Angiogenesis       Date:  2020-10-14       Impact factor: 10.658

  4 in total

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