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Cited by 515

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

A gene inducible by serum growth factors encodes a member of the steroid and thyroid hormone receptor superfamily.

Open access
Hazel, T G, Nathans, D, Lau, L F·1988·Proceedings of the National Academy of Sciences

Abstract

We previously identified, by cDNA cloning, a set of genes that are expressed during the G0/G1 transition (cell cycle reentry) in mouse fibroblasts. These immediate early genes are transcriptionally activated within minutes of addition of serum or purified growth factors, and their mRNAs are superinduced in the presence of protein-synthesis inhibitors. We report here that one of these genes, represented by nur/77 cDNA (originally called 3CH77), encodes a member of the superfamily of ligand-binding transcription factors that includes the steroid and thyroid hormone receptors. The nur/77 cDNA sequence encodes a protein of 601 amino acids containing two regions of sequence similarity to members of this nuclear receptor superfamily, corresponding to their DNA-binding and ligand-binding domains. These results suggest that the growth factor-inducible immediate early gene nur/77 encodes a ligand-binding protein that regulates the genomic response to growth factors.

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Crossref · 10.1073/pnas.85.22.8444

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Metadata

Authors
Hazel, T. G., Nathans, D., & Lau, L. F.
Venue
Proceedings of the National Academy of Sciences
Published
1988-11
Volume
85
Issue
22
Pages
8444-8448
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1968199586
Cited by
515
References
4
FWCI
10.89
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A gene inducible by serum growth factors encodes a member of the steroid and thyroid hormone receptor superfamily. https://app.cochat.ai/papers/10.1073/pnas.85.22.8444
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Hazel, T. G., Nathans, D., & Lau, L. F. (1988). A gene inducible by serum growth factors encodes a member of the steroid and thyroid hormone receptor superfamily. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.85.22.8444

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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