The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Sequence and Characterization of a Coactivator for the Steroid Hormone Receptor Superfamily
Abstract
A yeast two-hybrid system was used to identify a protein that interacts with and enhances the human progesterone receptor (hPR) transcriptional activity without altering the basal activity of the promoter. Because the protein stimulated transactivation of all the steroid receptors tested, it has been termed steroid receptor coactivator-1 (SRC-1). Coexpression of SRC-1 reversed the ability of the estrogen receptor to squelch activation by hPR. Also, the amino terminal truncated form of SRC-1 acted as a dominant-negative repressor. Together, these results indicate that SRC-1 encodes a coactivator that is required for full transcriptional activity of the steroid receptor superfamily.
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Cites
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Cited by
A Cold-Inducible Coactivator of Nuclear Receptors Linked to Adaptive Thermogenesis
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The Transcriptional Coactivators p300 and CBP Are Histone Acetyltransferases
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Identification of a nuclear receptor for bile acids
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The coregulator exchange in transcriptional functions of nuclear receptors
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Metadata
- Authors
- Oñate, S. A., Tsai, S. Y., Tsai, M.-J., & O'Malley, B. W.
- Venue
- Science
- Published
- 1995-11-24
- Volume
- 270
- Issue
- 5240
- Pages
- 1354-1357
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2068113812
- Cited by
- 2,387
- References
- 27
- FWCI
- 91.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Sequence and Characterization of a Coactivator for the Steroid Hormone Receptor Superfamily. https://app.cochat.ai/papers/10.1126/science.270.5240.1354
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- Oñate, S. A., Tsai, S. Y., Tsai, M.-J., & O'Malley, B. W. (1995). Sequence and Characterization of a Coactivator for the Steroid Hormone Receptor Superfamily. Science. https://doi.org/10.1126/science.270.5240.1354
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
