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Cited by 523

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Transcriptional Codes and the Control of Neuronal Identity

Shirasaki, Ryuichi, Pfaff, Samuel L.·2002·Annual Review of Neuroscience

Abstract

▪ Abstract The topographic assembly of neural circuits is dependent upon the generation of specific neuronal subtypes, each subtype displaying unique properties that direct the formation of selective connections with appropriate target cells. Studies of motor neuron development in the spinal cord have begun to elucidate the molecular mechanisms involved in controlling motor projections. In this review, we first describe the actions of transcription factors within motor neuron progenitors, which initiate a cascade of transcriptional interactions that lead to motor neuron specification. We next highlight the contribution of the LIM homeodomain (LIM-HD) transcription factors in establishing motor neuron subtype identity. Importantly, it has recently been shown that the combinatorial expression of LIM-HD transcription factors, the LIM code, confers motor neuron subtypes with the ability to select specific axon pathways to reach their distinct muscle targets. Finally, the downstream targets of the LIM code are discussed, especially in the context of subtype-specific motor axon pathfinding.

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Crossref · 10.1146/annurev.neuro.25.112701.142916

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Metadata

Authors
Shirasaki, R., & Pfaff, S. L.
Venue
Annual Review of Neuroscience
Published
2002-03
Volume
25
Issue
1
Pages
251-281
ISSN
  • 0147-006X (ISSN-L)
  • 1545-4126
OpenAlex
W2149519740
Cited by
523
References
3
FWCI
2.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Transcriptional Codes and the Control of Neuronal Identity. https://app.cochat.ai/papers/10.1146/annurev.neuro.25.112701.142916
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Shirasaki, R., & Pfaff, S. L. (2002). Transcriptional Codes and the Control of Neuronal Identity. Annual Review of Neuroscience. https://doi.org/10.1146/annurev.neuro.25.112701.142916

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.