Adaptation is not required to explain the long-term response of axons to molecular gradients

Xu, J., Rosoff, W. J., Urbach, J. S. and Goodhill, G. J. (2005) Adaptation is not required to explain the long-term response of axons to molecular gradients. Development, 132 20: 4545-4552. doi:10.1242/dev.02029

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Author Xu, J.
Rosoff, W. J.
Urbach, J. S.
Goodhill, G. J.
Title Adaptation is not required to explain the long-term response of axons to molecular gradients
Journal name Development   Check publisher's open access policy
ISSN 0950-1991
Publication date 2005-01-01
Sub-type Article (original research)
DOI 10.1242/dev.02029
Open Access Status File (Publisher version)
Volume 132
Issue 20
Start page 4545
End page 4552
Total pages 8
Editor Smith, J.
Place of publication Cambridge
Publisher The Company of Biologists
Language eng
Subject C1
239901 Biological Mathematics
780101 Mathematical sciences
Abstract It has been suggested that growth cones navigating through the developing nervous system might display adaptation, so that their response to gradient signals is conserved over wide variations in ligand concentration. Recently however, a new chemotaxis assay that allows the effect of gradient parameters on axonal trajectories to be finely varied has revealed a decline in gradient sensitivity on either side of an optimal concentration. We show that this behavior can be quantitatively reproduced with a computational model of axonal chemotaxis that does not employ explicit adaptation. Two crucial components of this model required to reproduce the observed sensitivity are spatial and temporal averaging. These can be interpreted as corresponding, respectively, to the spatial spread of signaling effects downstream from receptor binding, and to the finite time over which these signaling effects decay. For spatial averaging, the model predicts that an effective range of roughly one-third of the extent of the growth cone is optimal for detecting small gradient signals. For temporal decay, a timescale of about 3 minutes is required for the model to reproduce the experimentally observed sensitivity.
Keyword Developmental Biology
Axon Guidance
Chemotaxis
Computational Model
Nerve Growth Factor
Dorsal Root Ganglion
Nerve Growth-factor
Root Ganglion Neurons
Computer-simulation
Filopodial Dynamics
Guidance
Cone
Receptor
Mechanisms
Cells
Model
Q-Index Code C1

 
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Created: Wed, 15 Aug 2007, 17:05:19 EST