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Cited by 519

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Structural analysis of complementary DNA and amino acid sequences of human and rat androgen receptors.

Open access
Chang, C S, Kokontis, J, Liao, S T·1988·Proceedings of the National Academy of Sciences

Abstract

Structural analysis of cDNAs for human and rat androgen receptors (ARs) indicates that the amino-terminal regions of ARs are rich in oligo- and poly(amino acid) motifs as in some homeotic genes. The human AR has a long stretch of repeated glycines, whereas rat AR has a long stretch of glutamines. There is a considerable sequence similarity among ARs and the receptors for glucocorticoids, progestins, and mineralocorticoids within the steroid-binding domains. The cysteine-rich DNA-binding domains are well conserved. Translation of mRNA transcribed from AR cDNAs yielded 94- and 76-kDa proteins and smaller forms that bind to DNA and have high affinity toward androgens. These rat or human ARs were recognized by human autoantibodies to natural ARs. Molecular hybridization studies, using AR cDNAs as probes, indicated that the ventral prostate and other male accessory organs are rich in AR mRNA and that the production of AR mRNA in the target organs may be autoregulated by androgens.

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Metadata

Authors
Chang, C. S., Kokontis, J., & Liao, S. T.
Venue
Proceedings of the National Academy of Sciences
Published
1988-10
Volume
85
Issue
19
Pages
7211-7215
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2022315433
Cited by
519
References
3
FWCI
43.85
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Structural analysis of complementary DNA and amino acid sequences of human and rat androgen receptors. https://app.cochat.ai/papers/10.1073/pnas.85.19.7211
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Chang, C. S., Kokontis, J., & Liao, S. T. (1988). Structural analysis of complementary DNA and amino acid sequences of human and rat androgen receptors. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.85.19.7211

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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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