Literature DB >> 8186754

Neuritic growth rate described by modeling microtubule dynamics.

M P Van Veen1, J Van Pelt.   

Abstract

A model is developed to describe neuronal elongation as a result of the polymerization of microtubules and elastic stretching of the neurites by force produced by the growth cone. The model for a single segment with a single growth cone revealed a constant elongation rate, while the concentration of tubulin in the soma rises, and the concentration of tubulin becomes constant in the growth cone. Extending the model to a neurite with a single branch point and two growth cones revealed the same results. When the assembly or the disassembly rate of microtubules is unequal in both growth cones, transient retraction of one of the terminal segments occurs, which results in complete retraction of the segment when the difference in (dis)assembly rate between the two growth cones is large enough. When the model is applied to large trees, a maximal sustainable number of terminal segments as a function of the production rate of tubulin appears. Mechanisms to stop outgrowth are discussed in relation to the establishment of synaptical contacts between cells.

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Year:  1994        PMID: 8186754     DOI: 10.1007/bf02460642

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


  51 in total

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Journal:  Bioessays       Date:  1991-05       Impact factor: 4.345

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Journal:  Neuron       Date:  1988-11       Impact factor: 17.173

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Journal:  J Theor Biol       Date:  1988-10-07       Impact factor: 2.691

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Journal:  Nature       Date:  1986 Jun 19-25       Impact factor: 49.962

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Authors:  G Lee; S L Rook
Journal:  J Cell Sci       Date:  1992-06       Impact factor: 5.285

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Journal:  J Cell Sci       Date:  1992-12       Impact factor: 5.285

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Authors:  S Okabe; N Hirokawa
Journal:  J Cell Biol       Date:  1988-08       Impact factor: 10.539

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Authors:  F Verde; M Dogterom; E Stelzer; E Karsenti; S Leibler
Journal:  J Cell Biol       Date:  1992-09       Impact factor: 10.539

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  11 in total

1.  Local diameter fully constrains dendritic size in basal but not apical trees of CA1 pyramidal neurons.

Authors:  Duncan E Donohue; Giorgio A Ascoli
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

2.  Dynamics of outgrowth in a continuum model of neurite elongation.

Authors:  Bruce P Graham; Karen Lauchlan; Douglas R Mclean
Journal:  J Comput Neurosci       Date:  2006-02-20       Impact factor: 1.621

3.  Large-scale analysis of neurite growth dynamics on micropatterned substrates.

Authors:  Zachary D Wissner-Gross; Mark A Scott; David Ku; Priya Ramaswamy; Mehmet Fatih Yanik
Journal:  Integr Biol (Camb)       Date:  2010-10-25       Impact factor: 2.192

4.  Spatial and temporal sensing limits of microtubule polarization in neuronal growth cones by intracellular gradients and forces.

Authors:  Saurabh Mahajan; Chaitanya A Athale
Journal:  Biophys J       Date:  2012-12-18       Impact factor: 4.033

5.  A model for stretch growth of neurons.

Authors:  Prashant K Purohit; Douglas H Smith
Journal:  J Biomech       Date:  2016-11-18       Impact factor: 2.712

6.  Mathematical modelling and numerical simulation of the morphological development of neurons.

Authors:  Bruce P Graham; Arjen van Ooyen
Journal:  BMC Neurosci       Date:  2006-10-30       Impact factor: 3.288

7.  Growth cone pathfinding: a competition between deterministic and stochastic events.

Authors:  Susan M Maskery; Helen M Buettner; Troy Shinbrot
Journal:  BMC Neurosci       Date:  2004-07-08       Impact factor: 3.288

Review 8.  Mathematical models of neuronal growth.

Authors:  Hadrien Oliveri; Alain Goriely
Journal:  Biomech Model Mechanobiol       Date:  2022-01-07

9.  Rac1 and Aurora A regulate MCAK to polarize microtubule growth in migrating endothelial cells.

Authors:  Alexander Braun; Kyvan Dang; Felinah Buslig; Michelle A Baird; Michael W Davidson; Clare M Waterman; Kenneth A Myers
Journal:  J Cell Biol       Date:  2014-07-07       Impact factor: 10.539

10.  A computational model of bidirectional axonal growth in micro-tissue engineered neuronal networks (micro-TENNs).

Authors:  Toma Marinov; Haven A López Sánchez; Liang Yuchi; Dayo O Adewole; D Kacy Cullen; Reuben H Kraft
Journal:  In Silico Biol       Date:  2020
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