Student or educator? Sign up with your school email and get 6 months of Pro free.

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

Nuclear Receptor-Binding Sites of Coactivators Glucocorticoid Receptor Interacting Protein 1 (GRIP1) and Steroid Receptor Coactivator 1 (SRC-1): Multiple Motifs with Different Binding Specificities

Abstract

The activity of the AF-2 transcriptional activation function of nuclear receptors (NR) is mediated by the partially homologous transcriptional coactivators, glucocorticoid receptor interacting protein 1 (GRIP1)/transcriptional intermediary factor 2 (TIF2) and steroid receptor coactivator 1 (SRC-1). GRIP1 and SRC-1 bound nine different NRs and exhibited similar, but not identical, NR binding preferences. The most striking difference was seen with the androgen receptor, which bound well to GRIP1 but poorly to SRC-1. GRIP1 and SRC-1 contain three copies of the NR binding motif LXXLL (called an NR Box) in their central regions. Mutation of both NR Box II and NR Box III in GRIP1 almost completely eliminated functional and binding interactions with NRs, indicating that these two sites are crucial for most of GRIP1's NR binding activity. Interactions of GRIP1 with the estrogen receptor were more strongly affected by mutations in NR Box II, whereas interactions with the androgen receptor and glucocorticoid receptor were more strongly affected by NR Box III mutations. One isoform of SRC-1 has an additional NR Box (NR Box IV) at its extreme C terminus with an NR-binding preference somewhat different from that of the central NR-binding domain of SRC-1. GRIP1 has no NR Box in its C-terminal region and therefore no C-terminal NR-binding function. In summary, GRIP1 and SRC-1 have overlapping NR-binding preferences, but specific NRs display both coactivator and NR Box preferences that may contribute to the specificity of hormonal responses.

Overview

Integrity signals

Registry

Crossref · 10.1210/mend.12.2.0065

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 41 references

Cited by

See all 434

Metadata

Authors
Ding, X. F., Anderson, C. M., Ma, H., Hong, H., Uht, R. M., Kushner, P. J., & Stallcup, M. R.
Affiliations
  • University of Southern California (US)
  • University of California, San Francisco (US)
Corresponding author
Stallcup, Michael R.
Venue
Molecular Endocrinology
Published
1998-02-01
Volume
12
Issue
2
Pages
302-313
ISSN
  • 0888-8809 (ISSN-L)
  • 1944-9917
OpenAlex
W2011119018
Cited by
434
References
41
Citations by year
2026: 1 · 2025: 3 · 2024: 6 · 2023: 2 · 2022: 2 · 2021: 3 · 2020: 2 · 2019: 4 · 2018: 3 · 2017: 1 · 2016: 8 · 2015: 6 · 2014: 7 · 2013: 10 · 2012: 11
FWCI
27.20
Type
journal article
Language
en
Open access
closed
Locations
  • Molecular Endocrinology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Saint Louis University
  • National Institutes of Health (K08 DK, 7k08dk002335-06)
  • U.S. Public Health Service
  • University of California, San Francisco
  • National Institute of Diabetes and Digestive and Kidney Diseases (DK-43093, K-08-DK-02335, R01DK051083, R01DK043093, DK-51083)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Endocrinology › Estrogen and related hormone effects
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Receptors and Signaling
Keywords
nuclear receptor coactivators, GRIP1, TIF2, SRC-1, LXXLL motif, androgen receptor, estrogen receptor, glucocorticoid receptor
MeSH terms
Amino Acid Sequence, Binding Sites, HeLa Cells, Humans, Molecular Sequence Data, Receptors, Steroid, Receptors, Thyroid Hormone, Saccharomyces cerevisiae, Transcription Factors, Receptors, Cytoplasmic and Nuclear, Histone Acetyltransferases, Nuclear Receptor Coactivator 2, Nuclear Receptor Coactivator 1

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: Nuclear Receptor-Binding Sites of Coactivators Glucocorticoid Receptor Interacting Protein 1 (GRIP1) and Steroid Receptor Coactivator 1 (SRC-1): Multiple Motifs with Different Binding Specificities. https://app.cochat.ai/papers/10.1210/mend.12.2.0065
The paper
Ding, X. F., Anderson, C. M., Ma, H., Hong, H., Uht, R. M., Kushner, P. J., & Stallcup, M. R. (1998). Nuclear Receptor-Binding Sites of Coactivators Glucocorticoid Receptor Interacting Protein 1 (GRIP1) and Steroid Receptor Coactivator 1 (SRC-1): Multiple Motifs with Different Binding Specificities. Molecular Endocrinology. https://doi.org/10.1210/mend.12.2.0065

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.