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  • Title: Evidence for a columnar organization of cones, Müller cells, and neurons in the retina of a cichlid fish.
    Author: Mack AF.
    Journal: Neuroscience; 2007 Feb 09; 144(3):1004-14. PubMed ID: 17156929.
    Abstract:
    In the retina of many lower vertebrates, the arrangement of cells, in particular of cone photoreceptors, is highly regular. The data presented in this report show that in the retina of a cichlid fish (Astatotilapia burtoni) the regular arrangement is not restricted to cone photoreceptors and their synaptic terminals but can be found in elements of the inner retina as well. A variety of immunocytochemical and other markers was used in combination with confocal microscopy on whole-mount preparations and tangential sections. Nearest neighbor analysis was performed and density recovery profiles as auto- and cross-correlograms were generated. Cells displaying a regular arrangement of their synaptic processes in matching radial register to each other were identified for each major retinal neuronal cell type except ganglion cells (i.e. photoreceptors, horizontal cells, bipolar cells, and amacrine cells). The precise location of some of the corresponding cell bodies was not as regular but still non-random, however there was no spatial cross-correlation between cell bodies of different types. The radial processes of Müller glial cells displayed a distribution correlating to the arrangement of photoreceptors and neurons. Thus, for one Müller glial cell I found two PKC-positive cone bipolar cells, a spatially corresponding grid of parvalbumin-positive amacrine cell processes, one H1 horizontal cell, and two pairs of double cones. There was no evidence among ganglion cells matching this pattern, possibly due to the lack of suitable markers. Although many other cell types do not follow this matching regular mosaic arrangement, a basic columnar building block can be postulated for the retina at least in cichlid fish. This suggests a functional radial unit from photoreceptors to the inner plexiform layer.
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