Literature DB >> 14614096

Competition between retinal ganglion axons for targets under the servomechanism model explains abnormal retinocollicular projection of Eph receptor-overexpressing or ephrin-lacking mice.

Hisao Honda1.   

Abstract

Topographic mapping of retinal ganglion axons to the midbrain is computed by the servomechanism model, which is based on the experimental result of cell attachment. Cells expressing a certain level of Eph proteins (receptors for ephrin ligands) optimally attach to a surface that expresses a specific level of ephrin ligand density. The retina has an increasing nasal-to-temporal gradient of Eph receptor density, and the optic tectum/superior colliculus has an increasing rostral-to-caudal gradient of membrane-bound ephrin ligand. An axon from the retina has an identification tag of a certain level of Eph receptor density depending on its retinal position and adheres to the site on the tectum/superior colliculus expressing ephrin ligands at a critical ligand density level. Quantitatively, a retinal axon has a receptor density (R) that is determined by its retinal position, and the axon terminal is induced to adhere to the tectal site of ligand density (L = S/R), where S is a constant. Consequently, the servomechanism model defines positions of axon terminals on the midbrain. Abnormal topographic maps are reported in a knock-in experiment with elevated density of Eph receptors and a knock-out experiment lacking ephrin ligands using gene-targeting technology. By adding competition between axon terminals for target sites to the servomechanism model, the abnormal maps became easy to understand. Furthermore, the servomechanism-competition model allowed conjecture of the gradient shapes of receptor and ligand densities and estimation of the capacity of the midbrain surface to accept retinal axon terminals.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14614096      PMCID: PMC6740999     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  13 in total

1.  Competition is a driving force in topographic mapping.

Authors:  Jason W Triplett; Cory Pfeiffenberger; Jena Yamada; Ben K Stafford; Neal T Sweeney; Alan M Litke; Alexander Sher; Alexei A Koulakov; David A Feldheim
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-07       Impact factor: 11.205

2.  A unifying model for activity-dependent and activity-independent mechanisms predicts complete structure of topographic maps in ephrin-A deficient mice.

Authors:  Dmitry N Tsigankov; Alexei A Koulakov
Journal:  J Comput Neurosci       Date:  2006-07-05       Impact factor: 1.621

3.  Genetic dissection of EphA receptor signaling dynamics during retinotopic mapping.

Authors:  Nicholas Bevins; Greg Lemke; Michaël Reber
Journal:  J Neurosci       Date:  2011-07-13       Impact factor: 6.167

Review 4.  Using theoretical models to analyse neural development.

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

5.  Retinotopic order in the absence of axon competition.

Authors:  Nathan J Gosse; Linda M Nevin; Herwig Baier
Journal:  Nature       Date:  2008-03-26       Impact factor: 49.962

6.  Sperry versus Hebb: topographic mapping in Isl2/EphA3 mutant mice.

Authors:  Dmitry Tsigankov; Alexei A Koulakov
Journal:  BMC Neurosci       Date:  2010-12-29       Impact factor: 3.288

7.  Axon-Schwann cell interactions during peripheral nerve regeneration in zebrafish larvae.

Authors:  Maria Laura Ceci; Camila Mardones-Krsulovic; Mario Sánchez; Leonardo E Valdivia; Miguel L Allende
Journal:  Neural Dev       Date:  2014-10-17       Impact factor: 3.842

8.  Target-independent ephrina/EphA-mediated axon-axon repulsion as a novel element in retinocollicular mapping.

Authors:  Philipp Suetterlin; Uwe Drescher
Journal:  Neuron       Date:  2014-10-23       Impact factor: 17.173

9.  A multi-component model of the developing retinocollicular pathway incorporating axonal and synaptic growth.

Authors:  Keith B Godfrey; Stephen J Eglen; Nicholas V Swindale
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475

10.  A stochastic model for retinocollicular map development.

Authors:  Alexei A Koulakov; Dmitry N Tsigankov
Journal:  BMC Neurosci       Date:  2004-08-31       Impact factor: 3.288

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.