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Cited by 727

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Radial Glial Identity Is Promoted by Notch1 Signaling in the Murine Forebrain

Open access
Gaiano, Nicholas, Nye, Jeffrey S., Fishell, Gord·2000·Neuron

Abstract

In vertebrates, Notch signaling is generally thought to inhibit neural differentiation. However, whether Notch can also promote specific early cell fates in this context is unknown. We introduced activated Notch1 (NIC) into the mouse forebrain, before the onset of neurogenesis, using a retroviral vector and ultrasound imaging. During embryogenesis, NIC-infected cells became radial glia, the first specialized cell type evident in the forebrain. Thus, rather than simply inhibiting differentiation, Notch1 signaling promoted the acquisition of an early cellular phenotype. Postnatally, many NIC-infected cells became periventricular astrocytes, cells previously shown to be neural stem cells in the adult. These results suggest that Notch1 promotes radial glial identity during embryogenesis, and that radial glia may be lineally related to stem cells in the adult nervous system.

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Metadata

Authors
Gaiano, N., Nye, J. S., & Fishell, G.
Venue
Neuron
Publisher
Elsevier BV
Published
2000-05
Volume
26
Issue
2
Pages
395-404
ISSN
0896-6273 (ISSN-L)
OpenAlex
W1979755285
Cited by
727
References
4
FWCI
9.19
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Radial Glial Identity Is Promoted by Notch1 Signaling in the Murine Forebrain. https://app.cochat.ai/papers/10.1016/s0896-6273(00)81172-1
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Gaiano, N., Nye, J. S., & Fishell, G. (2000). Radial Glial Identity Is Promoted by Notch1 Signaling in the Murine Forebrain. Neuron. https://doi.org/10.1016/s0896-6273(00)81172-1

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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.