Literature DB >> 10649638

Models of axon guidance and bundling during development.

H G Hentschel1, A van Ooyen.   

Abstract

Diffusible chemoattractants and chemorepellants, together with contact attraction and repulsion, have been implicated in the establishment of connections between neurons and their targets. Here we study how such diffusible and contact signals can be involved in the whole sequence of events from bundling of axons, guidance of axon bundles towards their targets, to debundling and the final innervation of individual targets. By means of computer simulations, we investigate the strengths and weaknesses of a number of particular mechanisms that have been proposed for these processes.

Mesh:

Year:  1999        PMID: 10649638      PMCID: PMC1690341          DOI: 10.1098/rspb.1999.0913

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  24 in total

1.  Response of retinal ganglion cell axons to striped linear gradients of repellent guidance molecules.

Authors:  S M Rosentreter; R W Davenport; J Löschinger; J Huf; J Jung; F Bonhoeffer
Journal:  J Neurobiol       Date:  1998-12

Review 2.  The molecular biology of axon guidance.

Authors:  M Tessier-Lavigne; C S Goodman
Journal:  Science       Date:  1996-11-15       Impact factor: 47.728

3.  Genetic analysis of Netrin genes in Drosophila: Netrins guide CNS commissural axons and peripheral motor axons.

Authors:  K J Mitchell; J L Doyle; T Serafini; T E Kennedy; M Tessier-Lavigne; C S Goodman; B J Dickson
Journal:  Neuron       Date:  1996-08       Impact factor: 17.173

4.  Diffusion in axon guidance.

Authors:  G J Goodhill
Journal:  Eur J Neurosci       Date:  1997-07       Impact factor: 3.386

Review 5.  Axon guidance molecules.

Authors:  R Keynes; G M Cook
Journal:  Cell       Date:  1995-10-20       Impact factor: 41.582

6.  The axonal chemoattractant netrin-1 is also a chemorepellent for trochlear motor axons.

Authors:  S A Colamarino; M Tessier-Lavigne
Journal:  Cell       Date:  1995-05-19       Impact factor: 41.582

7.  Complementary gradients in expression and binding of ELF-1 and Mek4 in development of the topographic retinotectal projection map.

Authors:  H J Cheng; M Nakamoto; A D Bergemann; J G Flanagan
Journal:  Cell       Date:  1995-08-11       Impact factor: 41.582

Review 8.  Guidance and induction of branch formation in developing axons by target-derived diffusible factors.

Authors:  T E Kennedy; M Tessier-Lavigne
Journal:  Curr Opin Neurobiol       Date:  1995-02       Impact factor: 6.627

9.  Axonin-1, Nr-CAM, and Ng-CAM play different roles in the in vivo guidance of chick commissural neurons.

Authors:  E T Stoeckli; L T Landmesser
Journal:  Neuron       Date:  1995-06       Impact factor: 17.173

10.  Prenatal and postnatal requirements of NT-3 for sympathetic neuroblast survival and innervation of specific targets.

Authors:  W M ElShamy; S Linnarsson; K F Lee; R Jaenisch; P Ernfors
Journal:  Development       Date:  1996-02       Impact factor: 6.868

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  18 in total

1.  Models and simulation of 3D neuronal dendritic trees using Bayesian networks.

Authors:  Pedro L López-Cruz; Concha Bielza; Pedro Larrañaga; Ruth Benavides-Piccione; Javier DeFelipe
Journal:  Neuroinformatics       Date:  2011-12

Review 2.  Using theoretical models to analyse neural development.

Authors:  Arjen van Ooyen
Journal:  Nat Rev Neurosci       Date:  2011-05-18       Impact factor: 34.870

3.  Axon tension regulates fasciculation/defasciculation through the control of axon shaft zippering.

Authors:  Daniel Šmít; Coralie Fouquet; Frédéric Pincet; Martin Zapotocky; Alain Trembleau
Journal:  Elife       Date:  2017-04-19       Impact factor: 8.140

4.  A mathematical framework for modeling axon guidance.

Authors:  Johannes K Krottje; Arjen van Ooyen
Journal:  Bull Math Biol       Date:  2006-10-24       Impact factor: 1.758

5.  NETMORPH: a framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologies.

Authors:  Randal A Koene; Betty Tijms; Peter van Hees; Frank Postma; Alexander de Ridder; Ger J A Ramakers; Jaap van Pelt; Arjen van Ooyen
Journal:  Neuroinformatics       Date:  2009-08-12

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

8.  A hybrid computational model to predict chemotactic guidance of growth cones.

Authors:  Iolanda Morana Roccasalvo; Silvestro Micera; Pier Nicola Sergi
Journal:  Sci Rep       Date:  2015-06-18       Impact factor: 4.379

9.  A framework for modeling the growth and development of neurons and networks.

Authors:  Frederic Zubler; Rodney Douglas
Journal:  Front Comput Neurosci       Date:  2009-11-20       Impact factor: 2.380

10.  A developmental approach to predicting neuronal connectivity from small biological datasets: a gradient-based neuron growth model.

Authors:  Roman Borisyuk; Abul Kalam Al Azad; Deborah Conte; Alan Roberts; Stephen R Soffe
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

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