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Neurite outgrowth: elongation and branching
During development, neurons become assembled into functional networks by growing
out axons and dendrites (collectively called neurites) that connect synaptically
to other neurons. The outgrowth of neurons proceeds by means of the dynamic behavior of growth
cones, specialized hand-shaped structures at the tip of growing neurites.
Growth cone migration elongates the trailing neurite, whereas growth cone splitting
creates new daughter branches.
Despite the importance of neurite outgrowth for development, only a few computational
models exist. In one of the most successful models, elongation and branching
are described in a stochastic, phenomenological manner
(see Jaap van Pelt). Each growth
cone in the growing neuritic tree is given a branching probability and an elongation rate,
the values of which depend on the growth cone's position in the tree and the tree's total number of growth cones.
The model is able to generate realistic neuronal morphologies, and we use it in our simulation framework NETMORPH
(Koene et al., 2009) to study
the formation of synaptic connectivity in cortical networks (see network formation).
However, phenomenological models do not clarify how the underlying biological mechanisms
involved in neurite outgrowth—the dynamics of the tubulin and actin cytoskeletons—may
lead to the generation of neuronal morphologies.
Together with Bruce Graham, we therefore developed
biologically realistic models for the generation of axonal and dendritic morphologies. To this end, we also extended
the compartmental modeling approach (see Methods in Neuronal Modeling)
to growing neurites (Graham and Van Ooyen, 2001).
An interesting experimental observation is that the elongation of neurite branches is
often accompanied by the simultaneous retraction of other
branches belonging to the same neuritic tree. Using compartmental models of
outgrowing neurites, we showed that this phenomenon, which is highly relevant for the
formation of synaptic connectivity, can arise from competition for tubulin
dimers (Hjorth et al., 2014).
Tubulin dimers are produced in the soma and transported to
the growth cones, where they are assembled into the cytoskeleton to elongate the neurites.
- Competitive dynamics during resource-driven neurite outgrowth
Hjorth, J. J. J., Van Pelt, J., Mansvelder, H. D., and Van Ooyen, A. (2014).
PloS ONE 9(2): e86741. doi:10.1371/journal.pone.0086741.
[Abstract]
[Full text: PDF]
- Automated analysis of neuronal morphology, synapse number and synaptic recruitment
Schmitz, S. K., Hjorth, J. J. J., Joemai, R. M. S., Wijntjes, R., Eijgenraam, S., De Bruijn, P.,
Georgiou, C., De Jong, A. P. H., Van Ooyen, A., Verhage, M., Cornelisse, L. N., Toonen, R. F., and Veldkamp, W. (2011).
J. Neuroscience Methods 195: 185-193.
[Abstract]
[Full text: PDF]
- Mathematical modelling and numerical simulation of the morphological development of neurons
Graham, B. P., and Van Ooyen, A. (2006).
BMC Neuroscience 7 (Suppl 1): S9.
[Abstract]
[Full text: PDF]
- Compartment volume influences microtubule dynamic instability: a model study
Janulevicius, A., Van Pelt, J., and Van Ooyen, A. (2006).
Biophysical J. 90: 788-798.
[Abstract]
[Full text: PDF]
- Competition in neurite outgrowth
and the development of nerve connections
Van Ooyen, A. (2005).
In: Van Pelt, J. Kamermans, M., Levelt, C. N.,
Van Ooyen, A., Ramakers, G. J. A., and Roelfsema, P. R., eds.
Development, Dynamics and Pathology of Neuronal Networks: From Molecules to Functional Circuits,
Progress in Brain Research 147. Amsterdam: Elsevier, pp. 81-99.
[Abstract]
[Full text: PDF]
- Biologically plausible models of neurite outgrowth
Kiddie, G., McLean, D., Van Ooyen, A., and Graham, B. (2005).
In: Van Pelt, J., Kamermans, M., Levelt, C. N.,
Van Ooyen, A., Ramakers, G. J. A., and Roelfsema, P. R., eds.
Development, Dynamics and Pathology of Neuronal Networks: From Molecules to Functional Circuits,
Progress in Brain Research 147. Amsterdam: Elsevier, pp. 67-80.
[Abstract]
[Full text: PDF]
- Transport limited effects in a model of dendritic branching
Graham, B. P., and Van Ooyen, A. (2004).
J. Theor. Biol. 230: 421-432.
[Abstract]
[Full text: PDF]
- Continuum model for tubulin-driven neurite elongation
McLean, D. R., Van Ooyen, A., and Graham, B. P. (2004).
Neurocomputing 58-60: 511-516.
[Abstract]
[Full text: PDF]
- Competition in neuronal morphogenesis and
the development of nerve connections
Van Ooyen, A., and Van Pelt, J. (2002).
In: Ascoli, G., ed. Computational Neuroanatomy: Principles and Methods.
Totowa, NJ: Humana Press Inc., pp. 219-244.
[Abstract]
[Full text: PDF]
- Compartmental models of growing neurites
Graham, B. P., and Van Ooyen, A. (2001).
Neurocomputing 38-40: 31-36.
[Abstract]
[Full text: PDF]
- A computational model of dendrite elongation and branching based
on MAP2 phosphorylation
Hely, T. A., Graham, B. P., and Van Ooyen, A. (2001).
J. Theor. Biol. 210: 375-384.
[Abstract]
[Full text: PDF]
- Competition for tubulin between growing neurites during development
Van Ooyen, A., Graham, B. P., and Ramakers, G. J. A. (2001).
Neurocomputing 38-40: 73-78.
[Abstract]
[Full text: PDF]
- Modeling dendritic
geometry and the development of nerve connections
Van Pelt, J., Van Ooyen, A., and Uylings, H. B. M. (2001).
In: De Schutter, E., ed. Computational Neuroscience: Realistic
Modeling for Experimentalists. Boca Raton: CRC Press, pp. 179-208.
[Abstract]
[Full text: PDF]
- The need for integrating neuronal morphology databases
and computational environments in exploring neuronal structure and function
Van Pelt, J., Van Ooyen, A., and Uylings, H. B. M. (2001).
Anat. Embryol. 204: 255-265.
[Abstract]
[Full text: PDF]
- A simulation of growth cone filopodia dynamics based on Turing morphogenesis patterns
Hely, T. A., Van Ooyen, A., and Willshaw, D. J. (1997).
In: Paton, R. C., and Holcombe, M., eds. Information Processing in Cells
and Tissues, International Workshop
on Information Processing in Cells and Tissues, September 1997. New York: Plenum.
[Abstract]
[Full text: PDF]
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