A one-dimensional moving-boundary model for tubulin-driven axonal growth

被引:12
|
作者
Diehl, S. [1 ]
Henningsson, E. [1 ]
Heyden, A. [1 ]
Perna, S. [1 ]
机构
[1] Lund Univ, Ctr Math Sci, S-22100 Lund, Sweden
基金
瑞典研究理事会;
关键词
Neurite elongation; Partial differential equation; Steady state; Polymerization; Microtubule cytoskeleton; DYNAMIC INSTABILITY; CONTINUUM MODEL; SLOW TRANSPORT; NEUROFILAMENT; MICROTUBULES; NEURITES; CELLS;
D O I
10.1016/j.jtbi.2014.06.019
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A one-dimensional continuum-mechanical model of axonal elongation due to assembly of tubulin dimers in the growth cone is presented. The conservation of mass leads to a coupled system of three differential equations. A partial differential equation models the dynamic and the spatial behaviour of the concentration of tubulin that is transported along the axon from the soma to the growth cone. Two ordinary differential equations describe the time-variation of the concentration of free tubulin in the growth cone and the speed of elongation. All steady-state solutions of the model are categorized. Given a set of the biological parameter values, it is shown how one easily can infer whether there exist zero, one or two steady-state solutions and directly determine the possible steady-state lengths of the axon. Explicit expressions are given for each stationary concentration distribution. It is thereby easy to examine the influence of each biological parameter on a steady state. Numerical simulations indicate that when there exist two steady states, the one with shorter axon length is unstable and the longer is stable. Another result is that, for nominal parameter values extracted from the literature, in a large portion of a fully grown axon the concentration of free tubulin is lower than both concentrations in the soma and in the growth cone. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:194 / 207
页数:14
相关论文
共 50 条
  • [1] Efficient simulations of tubulin-driven axonal growth
    Diehl, Stefan
    Henningsson, Erik
    Heyden, Anders
    [J]. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2016, 41 (01) : 45 - 63
  • [2] Efficient simulations of tubulin-driven axonal growth
    Stefan Diehl
    Erik Henningsson
    Anders Heyden
    [J]. Journal of Computational Neuroscience, 2016, 41 : 45 - 63
  • [3] Solving one-dimensional moving-boundary problems with meshless method
    Vrankar, Leopold
    Kansa, Edward J.
    Turk, Goran
    Runovc, Franc
    [J]. PROGRESS IN INDUSTRIAL MATHEMATICS AT ECMI 2006, 2008, 12 : 672 - +
  • [4] Continuum model for tubulin-driven neurite elongation
    McLean, DR
    van Ooyen, A
    Graham, BP
    [J]. COMPUTATIONAL NEUROSCIENCE: TRENDS IN RESEARCH 2004, 2004, : 511 - 516
  • [5] Continuum model for tubulin-driven neurite elongation
    McLean, DR
    van Ooyen, A
    Graham, BP
    [J]. NEUROCOMPUTING, 2004, 58 : 511 - 516
  • [6] Unified moving-boundary model with fluctuations for unstable diffusive growth
    Nicoli, Matteo
    Castro, Mario
    Cuerno, Rodolfo
    [J]. PHYSICAL REVIEW E, 2008, 78 (02)
  • [7] One-dimensional quantum walk with a moving boundary
    Kwek, Leong Chuan
    Setiawan
    [J]. PHYSICAL REVIEW A, 2011, 84 (03):
  • [8] A MOVING-BOUNDARY MODEL OF BIOMASS PYROLYSIS
    DESROSIERS, RE
    LIN, RJ
    [J]. SOLAR ENERGY, 1984, 33 (02) : 187 - 196
  • [9] Moving boundary problem for a one-dimensional crawling nematode sperm cell model
    Choi, YS
    Groulx, P
    Lui, R
    [J]. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2005, 6 (05) : 874 - 898
  • [10] Mathematical formulation and analysis of a continuum model for tubulin-driven neurite elongation
    McLean, DR
    Graham, BP
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2004, 460 (2048): : 2437 - 2456