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Cited by 351

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

The role of JAK-STAT signaling within the CNS

Open access
Nicolas, Celine S., Amici, Mascia, Bortolotto, Zuner A., Doherty, Andrew, Csaba, Zsolt, Fafouri, Assia, Dournaud, Pascal, Gressens, Pierre, Collingridge, Graham L., Peineau, Stephane·2013·JAK-STAT

Abstract

JAK-STAT is an efficient and highly regulated system mainly dedicated to the regulation of gene expression. Primarily identified as functioning in hematopoietic cells, its role has been found critical in all cell types, including neurons. This review will focus on JAK-STAT functions in the mature central nervous system. Our recent research suggests the intriguing possibility of a non-nuclear role of STAT3 during synaptic plasticity. Dysregulation of the JAK-STAT pathway in inflammation, cancer and neurodegenerative diseases positions it at the heart of most brain disorders, highlighting the importance to understand how it can influence the fate and functions of brain cells.

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Crossref · 10.4161/jkst.22925

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Metadata

Authors
Nicolas, C. S., Amici, M., Bortolotto, Z. A., Doherty, A., Csaba, Z., Fafouri, A., Dournaud, P., Gressens, P., Collingridge, G. L., & Peineau, S.
Venue
JAK-STAT
Published
2013-01
Volume
2
Issue
1
Pages
e22925
ISSN
  • 2162-3988 (ISSN-L)
  • 2162-3996
OpenAlex
W2052593121
Cited by
351
References
98
FWCI
9.33
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The role of JAK-STAT signaling within the CNS. https://app.cochat.ai/papers/10.4161/jkst.22925
The paper
Nicolas, C. S., Amici, M., Bortolotto, Z. A., Doherty, A., Csaba, Z., Fafouri, A., Dournaud, P., Gressens, P., Collingridge, G. L., & Peineau, S. (2013). The role of JAK-STAT signaling within the CNS. JAK-STAT. https://doi.org/10.4161/jkst.22925

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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.