<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Müller glia can serve as a source of new neurons after retinal damage in both fish and birds. Investigations of regeneration in the mammalian retina in vitro have provided some evidence that Müller glia can proliferate after retinal damage and generate new rods; however, the evidence that this occurs in vivo is not conclusive. We have investigated whether Müller glia have the potential to generate neurons in the mouse retina in vivo by eliminating ganglion and amacrine cells with intraocular NMDA injections and stimulating Müller glial to re-enter the mitotic cycle by treatment with specific growth factors. The proliferating Müller glia dedifferentiate and a subset of these cells differentiated into amacrine cells, as defined by the expression of amacrine cell-specific markers Calretinin, NeuN, Prox1, and GAD67-GFP. These results show for the first time that the mammalian retina has the potential to regenerate inner retinal neurons in vivo .
Homeodomain Proteins, Neurons, N-Methylaspartate, Glutamate Decarboxylase, Green Fluorescent Proteins, Cell Differentiation, Mice, Transgenic, Nerve Tissue Proteins, Denervation, Nerve Regeneration, DNA-Binding Proteins, Mice, Amacrine Cells, Calbindin 2, Excitatory Amino Acid Agonists, Animals, Cell Lineage, Neuroglia, Biomarkers, Cell Division
Homeodomain Proteins, Neurons, N-Methylaspartate, Glutamate Decarboxylase, Green Fluorescent Proteins, Cell Differentiation, Mice, Transgenic, Nerve Tissue Proteins, Denervation, Nerve Regeneration, DNA-Binding Proteins, Mice, Amacrine Cells, Calbindin 2, Excitatory Amino Acid Agonists, Animals, Cell Lineage, Neuroglia, Biomarkers, Cell Division
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 338 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |