Collective Cell Behaviour with Neighbour-Dependent Proliferation, Death and Directional Bias

被引:22
作者
Binny, Rachelle N. [1 ,2 ,3 ]
James, Alex [1 ,2 ]
Plank, Michael J. [1 ,2 ]
机构
[1] Univ Canterbury, Sch Math & Stat, Christchurch, New Zealand
[2] Te Punaha Matatini, Auckland, New Zealand
[3] Landcare Res, Lincoln, New Zealand
关键词
Cell adhesion; Contact inhibition; Crowding effects; Pair correlation function; Spatial moment dynamics; PREDATOR-PREY DYNAMICS; CONTACT INHIBITION; SPATIAL STRUCTURE; MOMENT EQUATIONS; MIGRATION; MODELS; GUIDANCE; GROWTH;
D O I
10.1007/s11538-016-0222-9
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Collective cell migration and proliferation are integral to tissue repair, embryonic development, the immune response and cancer. Central to collective cell migration and proliferation are interactions among neighbouring cells, such as volume exclusion, contact inhibition and adhesion. These individual-level processes can have important effects on population-level outcomes, such as growth rate and equilibrium density. We develop an individual-based model of cell migration and proliferation that includes these interactions. This is an extension of a previous model with neighbour-dependent directional bias to incorporate neighbour-dependent proliferation and death. A deterministic approximation to this individual-based model is derived using a spatial moment dynamics approach, which retains information about the spatial structure of the cell population. We show that the individual-based model and spatial moment model match well across a range of parameter values. The spatial moment model allows insight into the two-way interaction between spatial structure and population dynamics that cannot be captured by traditional mean-field models.
引用
收藏
页码:2277 / 2301
页数:25
相关论文
共 63 条
  • [1] CONTACT INHIBITION AND MALIGNANCY
    ABERCROMBIE, M
    [J]. NATURE, 1979, 281 (5729) : 259 - 262
  • [2] Distinguishing between mechanisms of cell aggregation using pair-correlation functions
    Agnew, D. J. G.
    Green, J. E. F.
    Brown, T. M.
    Simpson, M. J.
    Binder, B. J.
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2014, 352 : 16 - 23
  • [3] A mathematical model of the effects of hypoxia on the cell-cycle of normal and cancer cells
    Alarcón, T
    Byrne, HM
    Maini, PK
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2004, 229 (03) : 395 - 411
  • [4] Continuous and discrete mathematical models of tumor-induced angiogenesis
    Anderson, ARA
    Chaplain, MAJ
    [J]. BULLETIN OF MATHEMATICAL BIOLOGY, 1998, 60 (05) : 857 - 899
  • [5] [Anonymous], 1937, B MOSCOW U MATH MECH
  • [6] [Anonymous], 2008, Statistical Analysis and Modelling of Spatial Point Patterns
  • [7] Correcting mean-field approximations for birth-death-movement processes
    Baker, Ruth E.
    Simpson, Matthew J.
    [J]. PHYSICAL REVIEW E, 2010, 82 (04):
  • [8] Scaling up predator-prey dynamics using spatial moment equations
    Barraquand, Frederic
    Murrell, David J.
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2013, 4 (03): : 276 - 289
  • [9] Intense or Spatially Heterogeneous Predation Can Select against Prey Dispersal
    Barraquand, Frederic
    Murrell, David J.
    [J]. PLOS ONE, 2012, 7 (01):
  • [10] Spectral analysis of pair-correlation bandwidth: application to cell biology images
    Binder, Benjamin J.
    Simpson, Matthew J.
    [J]. ROYAL SOCIETY OPEN SCIENCE, 2015, 2 (02):