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Cited by 235

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Novel brain wiring functions for classical morphogens: a role as graded positional cues in axon guidance

Open access
Charron, Frédéric, Tessier-Lavigne, Marc·2005·Development

Abstract

During embryonic development, morphogens act as graded positional cues to dictate cell fate specification and tissue patterning. Recent findings indicate that morphogen gradients also serve to guide axonal pathfinding during development of the nervous system. These findings challenge our previous notions about morphogens and axon guidance molecules, and suggest that these proteins, rather than having sharply divergent functions, act more globally to provide graded positional information that can be interpreted by responding cells either to specify cell fate or to direct axonal pathfinding. This review presents the roles identified for members of three prominent morphogen families – the Hedgehog, Wnt and TGFβ/BMP families– in axon guidance, and discusses potential implications for the molecular mechanisms underlying their guidance functions.

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Crossref · 10.1242/dev.01830

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Metadata

Authors
Charron, F., & Tessier-Lavigne, M.
Venue
Development
Published
2005-05-15
Volume
132
Issue
10
Pages
2251-2262
ISSN
  • 0950-1991 (ISSN-L)
  • 1477-9129
OpenAlex
W1993513195
Cited by
235
References
2
FWCI
9.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Novel brain wiring functions for classical morphogens: a role as graded positional cues in axon guidance. https://app.cochat.ai/papers/10.1242/dev.01830
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Charron, F., & Tessier-Lavigne, M. (2005). Novel brain wiring functions for classical morphogens: a role as graded positional cues in axon guidance. Development. https://doi.org/10.1242/dev.01830

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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.