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Cited by 203

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Regenerative medicine for retinal diseases: activating endogenous repair mechanisms

Open access
Karl, M.O., Reh, T.A.·2010·Trends in Molecular Medicine

Abstract

The retina is subject to degenerative diseases that often lead to significant visual impairment. Non-mammalian vertebrates have a remarkable ability to replace neurons lost through damage. Fish, and to a limited extent birds, replace lost neurons by de-differentiation of Müller glia to a progenitor state followed by replication of these neuronal progenitor cells. Over the past five years, studies have investigated whether regeneration can be stimulated in the mouse and rat retina. Several groups have reported that at least some types of neurons can be regenerated in the mammalian retina in vivo or in vitro, and that the regeneration of neurons can be stimulated using growth factors, transcription factors or subtoxic levels of excitatory amino acids. These recent results suggest that some part of the regenerative program that occurs in non-mammalian vertebrates remains in the mammalian retina, and may provide a basis to develop new strategies for retinal repair in patients with retinal degenerations.

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Metadata

Authors
Karl, M. O., & Reh, T. A.
Venue
Trends in Molecular Medicine
Publisher
Elsevier BV
Published
2010-04
Volume
16
Issue
4
Pages
193-202
ISSN
1471-4914 (ISSN-L)
OpenAlex
W1983159993
Cited by
203
References
10
FWCI
0.97
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Regenerative medicine for retinal diseases: activating endogenous repair mechanisms. https://app.cochat.ai/papers/10.1016/j.molmed.2010.02.003
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Karl, M. O., & Reh, T. A. (2010). Regenerative medicine for retinal diseases: activating endogenous repair mechanisms. Trends in Molecular Medicine. https://doi.org/10.1016/j.molmed.2010.02.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.