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Cited by 525

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Decoding the Epigenetic Language of Neuronal Plasticity

Open access
Borrelli, Emiliana, Nestler, Eric J., Allis, C. David, Sassone-Corsi, Paolo·2008·Neuron

Abstract

Neurons are submitted to an exceptional variety of stimuli and are able to convert these into high-order functions, such as storing memories, controlling behavior, and governing consciousness. These unique properties are based on the highly flexible nature of neurons, a characteristic that can be regulated by the complex molecular machinery that controls gene expression. Epigenetic control, which largely involves events of chromatin remodeling, appears to be one way in which transcriptional regulation of gene expression can be modified in neurons. This review will focus on how epigenetic control in the mature nervous system may guide dynamic plasticity processes and long-lasting cellular neuronal responses. We outline the molecular pathways underlying chromatin transitions, propose the presence of an “epigenetic indexing code,” and discuss how central findings accumulating at an exponential pace in the field of epigenetics are conceptually changing our perspective of adult brain function.

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Crossref · 10.1016/j.neuron.2008.10.012

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Metadata

Authors
Borrelli, E., Nestler, E. J., Allis, C. D., & Sassone-Corsi, P.
Venue
Neuron
Publisher
Elsevier BV
Published
2008-12
Volume
60
Issue
6
Pages
961-974
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2022818353
Cited by
525
References
30
FWCI
14.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Decoding the Epigenetic Language of Neuronal Plasticity. https://app.cochat.ai/papers/10.1016/j.neuron.2008.10.012
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Borrelli, E., Nestler, E. J., Allis, C. D., & Sassone-Corsi, P. (2008). Decoding the Epigenetic Language of Neuronal Plasticity. Neuron. https://doi.org/10.1016/j.neuron.2008.10.012

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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.