The DOI matches its Crossref record.
Identification of a Novel Thyroid Hormone Receptor Expressed in the Mammalian Central Nervous System
Abstract
A complementary DNA clone derived from rat brain messenger RNA has been isolated on the basis of homology to the human thyroid hormone receptor gene. Expression of this complementary DNA produces a high-affinity binding protein for thyroid hormones. Sequence analysis and the mapping of this gene to a distinct human genetic locus indicate the existence of multiple human thyroid hormone receptors. Messenger RNA from this gene is expressed in a tissue-specific fashion with highest levels in the central nervous system.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Gene regulation by steroid hormones
Beato, M. (1989) · Cell · doi:10.1016/0092-8674(89)90237-7 · Cited by 3,383
An analysis of vertebrate mRNA sequences: intimations of translational control.
Kozak, M. (1991) · The Journal of cell biology · doi:10.1083/jcb.115.4.887 · Cited by 1,635
Evolution of the nuclear receptor gene superfamily.
Laudet, V., Hänni, C., Coll, J., Catzeflis, F., & Stéhelin, D. (1992) · The EMBO Journal · doi:10.1002/j.1460-2075.1992.tb05139.x · Cited by 666
The neuronal mineralocorticoid eeceptor as a mediator of glucocorticoid response
Arriza, J. L., Simerly, R. B., Swanson, L. W., & Evans, R. M. (1988) · Neuron · doi:10.1016/0896-6273(88)90136-5 · Cited by 591
Self-citationProtein encoded by v-erbA functions as a thyroid-hormone receptor antagonist
Damm, K., Thompson, C. C., & Evans, R. M. (1989) · Nature · doi:10.1038/339593a0 · Cited by 579
Self-citation
Metadata
- Authors
- Thompson, C. C., Weinberger, C., Lebo, R., & Evans, R. M.
- Venue
- Science
- Published
- 1987-09-25
- Volume
- 237
- Issue
- 4822
- Pages
- 1610-1614
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2028549678
- Cited by
- 423
- References
- 0
- FWCI
- 45.47
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Identification of a Novel Thyroid Hormone Receptor Expressed in the Mammalian Central Nervous System. https://app.cochat.ai/papers/10.1126/science.3629259
- The paper
- Thompson, C. C., Weinberger, C., Lebo, R., & Evans, R. M. (1987). Identification of a Novel Thyroid Hormone Receptor Expressed in the Mammalian Central Nervous System. Science. https://doi.org/10.1126/science.3629259
Data sources
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.
