首页> 美国卫生研究院文献>The Journal of Neuroscience >Competition between Retinal Ganglion Axons for Targets under the Servomechanism Model Explains Abnormal Retinocollicular Projection of Eph Receptor-Overexpressing or Ephrin-Lacking Mice
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Competition between Retinal Ganglion Axons for Targets under the Servomechanism Model Explains Abnormal Retinocollicular Projection of Eph Receptor-Overexpressing or Ephrin-Lacking Mice

机译:伺服机制模型下视网膜神经节轴突之间的靶标竞争说明了Eph受体过表达或缺乏Ephrin的小鼠视网膜胶体投射异常

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摘要

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.
机译:通过伺服机制模型计算视网膜神经节轴突到中脑的地形图,该模型基于细胞附着的实验结果。表达一定水平的Eph蛋白(ephrin配体的受体)的细胞可以最佳地附着在表达特定水平的ephrin配体密度的表面上。视网膜的Eph受体密度从鼻到颞的梯度增加,而视神经上皮/上丘的膜结合的ephrin配体的鼻端到尾端的梯度增加。来自视网膜的轴突根据其视网膜位置具有一定水平的Eph受体密度的识别标签,并以临界配体密度水平粘附在表达ephrin配体的顶盖/上丘上。从数量上讲,视网膜轴突的受体密度(R)由其视网膜位置决定,轴突末端被诱导粘附在配体密度的顶盖位点(L = S / R),其中S为常数。因此,伺服机构模型定义了中脑上轴突末端的位置。使用基因靶向技术在Eph受体密度升高的敲入实验和缺少ephrin配体的敲除实验中报告了异常的地形图。通过将目标站点的轴突终端之间的竞争添加到伺服机制模型中,异常图变得易于理解。此外,伺服机制竞争模型允许推测受体和配体密度的梯度形状,并估计中脑表面接受视网膜轴突末端的能力。

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