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Cited by 451

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Mineralocorticoid and Glucocorticoid Receptor Activities Distinguished by Nonreceptor Factors at a Composite Response Element

Pearce, David, Yamamoto, Keith R.·1993·Science

Abstract

Mineralocorticoid and glucocorticoid hormones elicit distinct physiologic responses, yet the mineralocorticoid receptor (MR) and glucocorticoid receptor (GR) bind to and activate transcription similarly from a consensus simple hormone response element (HRE). The activities of GR and MR at plfG, a 25-base pair composite response element to which both the steroid receptors and transcription factor AP1 can bind, are analyzed here. Under conditions in which GR represses AP1-stimulated transcription from plfG, MR was inactive. With the use of MR-GR chimeras, a segment of the NH 2 -terminal region of GR (amino acids 105 to 440) was shown to be required for this repression. Thus, the distinct physiologic effects mediated by MR and GR may be determined by differential interactions of nonreceptor factors with specific receptor domains at composite response elements.

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Crossref · 10.1126/science.8382376

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Metadata

Authors
Pearce, D., & Yamamoto, K. R.
Venue
Science
Published
1993-02-19
Volume
259
Issue
5098
Pages
1161-1165
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2082181748
Cited by
451
References
41
FWCI
27.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mineralocorticoid and Glucocorticoid Receptor Activities Distinguished by Nonreceptor Factors at a Composite Response Element. https://app.cochat.ai/papers/10.1126/science.8382376
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Pearce, D., & Yamamoto, K. R. (1993). Mineralocorticoid and Glucocorticoid Receptor Activities Distinguished by Nonreceptor Factors at a Composite Response Element. Science. https://doi.org/10.1126/science.8382376

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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.