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猫视网膜神经节细胞层神经元群体的发育

Developing neuronal populations of the cat retinal ganglion cell layer.

作者信息

Wong R O, Hughes A

机构信息

Department of Physiology, John Curtin School of Medical Research, Canberra City, A.C.T., Australia.

出版信息

J Comp Neurol. 1987 Aug 22;262(4):473-95. doi: 10.1002/cne.902620403.

Abstract

An improved flat-mount procedure demonstrates that the developing ganglion cell layer of the cat retina contains two morphologically distinct populations of presumed neurons at all ages between embryonic day 36 (E36) and adulthood. One population resembles the adult "classical neurons" composing the ganglion cells and bar-cells of Hughes, while the remaining cells, which are smaller and possess much less Nissl substance, presumably correspond to precursors of the adult microneurons. Although the total neuron population of the retinal ganglion cell layer remains quite constant at all studied ages, its component subpopulations alter significantly during prenatal development; some 50% of classical neurons disappear before birth and the microneuron population doubles during the same period. An obvious centroperipheral gradient exists for classical neurons by stage E47, but the microneuron density gradient only becomes apparent at birth. A 2:1 centroperipheral ratio for the total neuron population is also apparent at E47. Centroperipheral neuronal density gradients continue to increase during postnatal growth. Loss of classical neurons during prenatal life as a result of cell death or transformation into microneurons, has been postulated as a mechanism for determining neuron density gradients. Cell death does occur in the ganglion cell population but it is not yet established whether microneurons of the ganglion cell layer originate from ganglion cell transformation or migrate as a differentiated class from the ventricular layer. However, it can be concluded that not all microneurons originate from ganglion cell transformation, because the total loss of classical neurons is less than the increase in microneuron numbers during development. The population magnitudes of both neuronal classes in the ganglion cell layer stabilise after birth. However, it is during the postnatal period that the adult cruciate density topography is achieved by both populations. It is concluded that differential areal growth is the prime mechanism for postnatal cell redistribution.

摘要

一种改进的平铺装片法显示,在胚胎第36天(E36)至成年期的所有年龄段,猫视网膜发育中的神经节细胞层都包含两个形态上不同的假定神经元群体。一个群体类似于构成休斯神经节细胞和杆状细胞的成年“经典神经元”,而其余细胞较小,尼氏体物质少得多,大概对应于成年微神经元的前体。尽管视网膜神经节细胞层的神经元总数在所有研究年龄段都保持相当恒定,但其组成亚群在产前发育期间发生了显著变化;约50%的经典神经元在出生前消失,而微神经元群体在同一时期增加了一倍。到E47期,经典神经元存在明显的中心-外周梯度,但微神经元密度梯度在出生时才变得明显。在E47期,总神经元群体的中心-外周比例也为2:1。出生后生长期间,中心-外周神经元密度梯度持续增加。产前生命期间经典神经元因细胞死亡或转化为微神经元而丢失,这被假定为确定神经元密度梯度的一种机制。神经节细胞群体中确实发生了细胞死亡,但神经节细胞层的微神经元是起源于神经节细胞转化还是作为一个分化的类别从室层迁移而来,目前尚未确定。然而,可以得出结论,并非所有微神经元都起源于神经节细胞转化,因为在发育过程中经典神经元的总损失小于微神经元数量的增加。出生后,神经节细胞层中两个神经元类别的群体大小稳定下来。然而,正是在出生后时期,两个群体都形成了成年期的十字形密度地形图。得出的结论是,差异区域生长是出生后细胞重新分布的主要机制。

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