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Ablation of retinal horizontal cells from adult mice leads to rod degeneration and remodeling in the outer retina
Authors:Stephan Sonntag  Karin Dedek  Birthe Dorgau  Konrad Schultz  Karl-Friedrich Schmidt  Kerstin Cimiotti  Reto Weiler  Siegrid L?wel  Klaus Willecke  Ulrike Janssen-Bienhold
Institution:Life and Medical Sciences Institute, University of Bonn, D-53115 Bonn, Germany, Department of Neurobiology, University of Oldenburg, D-26111 Oldenburg, Germany, and Bernstein Focus Neurotechnology and Johann-Friedrich-Blumenbach Institut für Zoologie und Anthropologie, Georg-August-Universit?t G?ttingen, D-37075 G?ttingen, Germany.
Abstract:In the brain, including the retina, interneurons show an enormous structural and functional diversity. Retinal horizontal cells represent a class of interneurons that form triad synapses with photoreceptors and ON bipolar cells. At this first retinal synapse, horizontal cells modulate signal transmission from photoreceptors to bipolar cells by feedback and feedforward inhibition. To test how the fully developed retina reacts to the specific loss of horizontal cells, these interneurons were specifically ablated from adult mice using the diphtheria toxin (DT)/DT-receptor system and the connexin57 promoter. Following ablation, the retinal network responded with extensive remodeling: rods retracted their axons from the outer plexiform layer and partially degenerated, whereas cones survived. Cone pedicles remained in the outer plexiform layer and preserved synaptic contacts with OFF but not with ON bipolar cells. Consistently, the retinal ON pathway was impaired, leading to reduced amplitudes and prolonged latencies in electroretinograms. However, ganglion cell responses showed only slight changes in time course, presumably because ON bipolar cells formed multiple ectopic synapses with photoreceptors, and visual performance, assessed with an optomotor system, was only mildly affected. Thus, the loss of an entire interneuron class can be largely compensated even by the adult retinal network.
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