The DOI matches its Crossref record.
Teaching old receptors new tricks: biasing seven-transmembrane receptors
Open accessAbstract
Seven-transmembrane receptors (7TMRs; also known as G protein-coupled receptors) are the largest class of receptors in the human genome and are common targets for therapeutics. Originally identified as mediators of 7TMR desensitization, β-arrestins (arrestin 2 and arrestin 3) are now recognized as true adaptor proteins that transduce signals to multiple effector pathways. Signalling that is mediated by β-arrestins has distinct biochemical and functional consequences from those mediated by G proteins, and several biased ligands and receptors have been identified that preferentially signal through either G protein- or β-arrestin-mediated pathways. These ligands are not only useful tools for investigating the biochemistry of 7TMR signalling, they also have the potential to be developed into new classes of therapeutics.
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
The physiology, signaling, and pharmacology of dopamine receptors
Beaulieu, J.-M., & Gainetdinov, R. R. (2011) · Pharmacological Reviews · doi:10.1124/pr.110.002642 · Cited by 2,763
Kimura, I., Inoue, D., Maeda, T., Hara, T., Ichimura, A., Miyauchi, S., Kobayashi, M., Hirasawa, A., & Tsujimoto, G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016088108 · Cited by 1,106
Signaling effectors underlying pathologic growth and remodeling of the heart
van Berlo, J. H., Maillet, M., & Molkentin, J. D. (2013) · Journal of Clinical Investigation · doi:10.1172/jci62839 · Cited by 445
Muscarinic acetylcholine receptors: novel opportunities for drug development
Kruse, A. C., Kobilka, B. K., Gautam, D., Sexton, P. M., Christopoulos, A., & Wess, J. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4295 · Cited by 437
Structure, function and pathophysiology of protease activated receptors
Adams, M. N., Ramachandran, R., Yau, M.-K., Suen, J. Y., Fairlie, D. P., Hollenberg, M. D., & Hooper, J. D. (2011) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2011.01.003 · Cited by 370
Metadata
- Authors
- Rajagopal, S., Rajagopal, K., & Lefkowitz, R. J.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2010-05
- Volume
- 9
- Issue
- 5
- Pages
- 373-386
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W2147196684
- Cited by
- 825
- References
- 0
- FWCI
- 5.30
- Type
- journal article
- Language
- en
- Open access
- green
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: Teaching old receptors new tricks: biasing seven-transmembrane receptors. https://app.cochat.ai/papers/10.1038/nrd3024
- The paper
- Rajagopal, S., Rajagopal, K., & Lefkowitz, R. J. (2010). Teaching old receptors new tricks: biasing seven-transmembrane receptors. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd3024
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.