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Cited by 742

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Docosahexaenoic Acid, a Ligand for the Retinoid X Receptor in Mouse Brain

Urquiza, Alexander Mata de, Liu, Suya, Sjöberg, Maria, Zetterström, Rolf H., Griffiths, William, Sjövall, Jan, Perlmann, Thomas·2000·Science

Abstract

The retinoid X receptor (RXR) is a nuclear receptor that functions as a ligand-activated transcription factor. Little is known about the ligands that activate RXR in vivo. Here, we identified a factor in brain tissue from adult mice that activates RXR in cell-based assays. Purification and analysis of the factor by mass spectrometry revealed that it is docosahexaenoic acid (DHA), a long-chain polyunsaturated fatty acid that is highly enriched in the adult mammalian brain. Previous work has shown that DHA is essential for brain maturation, and deficiency of DHA in both rodents and humans leads to impaired spatial learning and other abnormalities. These data suggest that DHA may influence neural function through activation of an RXR signaling pathway.

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Metadata

Authors
Urquiza, A. M. D., Liu, S., Sjöberg, M., Zetterström, R. H., Griffiths, W., Sjövall, J., & Perlmann, T.
Venue
Science
Published
2000-12-15
Volume
290
Issue
5499
Pages
2140-2144
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2003877984
Cited by
742
References
5
FWCI
32.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Docosahexaenoic Acid, a Ligand for the Retinoid X Receptor in Mouse Brain. https://app.cochat.ai/papers/10.1126/science.290.5499.2140
The paper
Urquiza, A. M. D., Liu, S., Sjöberg, M., Zetterström, R. H., Griffiths, W., Sjövall, J., & Perlmann, T. (2000). Docosahexaenoic Acid, a Ligand for the Retinoid X Receptor in Mouse Brain. Science. https://doi.org/10.1126/science.290.5499.2140

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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.