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Cited by 280

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Selenomethionine regulation of p53 by a ref1-dependent redox mechanism

Open access
Seo, Young R., Kelley, Mark R., Smith, Martin L.·2002·Proceedings of the National Academy of Sciences

Abstract

The cancer chemopreventive properties of selenium compounds are well documented, yet little is known of the mechanism(s) by which these agents inhibit carcinogenesis. We show that selenium in the form of selenomethionine (SeMet) can activate the p53 tumor suppressor protein by a redox mechanism that requires the redox factor Ref1. Assays to measure direct reduction/oxidation of p53 showed a SeMet-dependent response that was blocked by a dominant–negative Ref1. By using a peptide containing only p53 cysteine residues 275 and 277, we demonstrate the importance of these residues in the SeMet-induced response. SeMet induced sequence-specific DNA binding and transactivation by p53. Finally, cellular responses to SeMet were determined in mouse embryo fibroblasts wild-type or null for p53 genes. The evidence suggests that the DNA repair branch of the p53 pathway was activated. The central relevance of DNA repair to cancer prevention is discussed.

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Metadata

Authors
Seo, Y. R., Kelley, M. R., & Smith, M. L.
Venue
Proceedings of the National Academy of Sciences
Published
2002-09-30
Volume
99
Issue
22
Pages
14548-14553
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2045786144
Cited by
280
References
2
FWCI
8.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Selenomethionine regulation of p53 by a ref1-dependent redox mechanism. https://app.cochat.ai/papers/10.1073/pnas.212319799
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Seo, Y. R., Kelley, M. R., & Smith, M. L. (2002). Selenomethionine regulation of p53 by a ref1-dependent redox mechanism. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.212319799

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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.