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  • Poster presentation
  • Open Access

The impact of resource competition on neurite outgrowth

  • 1Email author,
  • 2,
  • 1,
  • 1 and
  • 1
BMC Neuroscience201112 (Suppl 1) :P353

  • Published:


  • Active Transport
  • Neurite Outgrowth
  • Growth Cone
  • Calcium Influx
  • Dendritic Growth

Axonal and dendritic growth is a highly dynamic process, where neurites elongate, bifurcate and retract. Local calcium influx [1] or local depolarisation [2] of a neurite can cause it to grow faster. The rapid growth of one branch is often accompanied by a retraction of other nearby branches [3]. This process is important for correct wiring of neuronal circuits [4]. In this study we investigate resource competition as a potential mechanism to explain the interactions between neurite branches. We have created a full compartmental model developed in python [5] using numpy [6] building on a previous modelling study [7] which suggested that the interplay between neurites might be explained by competition for resources produced in the soma; however, this has not been rigorously investigated. Neurons are stabilised by a cytoskeleton of microtubules [8]. Tubulin is produced in the soma from where it moves through diffusion and active transport to the growth cone at the tip of the neurite. At the growth cone the tubulin is polymerised, and becomes part of the microtubule cytoskeleton. In our model, neurite elongation is driven by concentration dependent tubulin polymerisation at the growth cone. We show that tubulin competition can account for the interplay between elongating and retracting neurites seen in [1, 3]. We quantify the distance dependence of the interactions between growth cones. Furthermore we show that the model can correctly predict the growth of an experimentally recorded growth cone given the information about how the neighbouring neurites grow out. We plan to make additional experiments to test our predictions and investigate whether the estimated values for the decay, diffusion and active transport required for competitive effects in the model match those of tubulin.



JH was supported by NWO grant 635.100.017 awarded to Arjen van Ooyen, and the EU BIO-ICT Project SECO (216593).

Authors’ Affiliations

Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), VU University Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands


  1. Hutchins BI, Kalil K: Differential outgrowth of axons and their branches is regulated by localized calcium transients. J Neurosci. 2008, 28: 143-153. 10.1523/JNEUROSCI.4548-07.2008.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Singh KK, Miller FD: Activity regulates positive and negative neurotrophin-derived signals to determine axon competition. Neuron. 2005, 45: 837-845. 10.1016/j.neuron.2005.01.049.View ArticlePubMedGoogle Scholar
  3. Da Fontoura Costa LETM, Manoel F, Fancereau F, Chelly J, van Pelt J, Ramakers GJA: A shape analysis framework for neuromorphometry. Network: Comput in Neural Syst. 2002, 13: 283-310. 10.1088/0954-898X/13/3/303. reorganization in adult cat striate cortex. Nature 368: 737-740.View ArticleGoogle Scholar
  4. Dent EW, Barnes AM, Tang F, Kalil K: Netrin-1 and semaphoring 3A promote or inhibit cortical axon branching, respectively, by reorganization of the cytoskeleton. J Neurosci. 2004, 24: 3002-3012. 10.1523/JNEUROSCI.4963-03.2004.View ArticlePubMedGoogle Scholar
  5. van Rossum G, Drake FL: Python Reference Manual. 2001, PythonLabs, Virginia, USA, []Google Scholar
  6. Ascher D, Dubois PF, Hinsen K, Hugunin J, Oliphant T: Numerical Python. 2001, Lawrence Livermore National Laboratory, Livermore, California, USA, []Google Scholar
  7. van Ooyen A, Graham BP, Ramakers GJA: Competition for tubulin between growing neurites during development. Neurocomputing. 2001, 38-40: 73-78. 10.1016/S0925-2312(01)00487-8.View ArticleGoogle Scholar
  8. Conde C, Caceres A: Microtubule assembly, organization and dynamics in axons and dendrites. Nature Rev Neurosci. 2009, 10: 319-332. 10.1038/nrn2631.View ArticleGoogle Scholar


© Hjorth et al; licensee BioMed Central Ltd. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.