The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ligand binding was acquired during evolution of nuclear receptors
Open accessAbstract
The nuclear receptor (NR) superfamily comprises, in addition to ligand-activated transcription factors, members for which no ligand has been identified to date. We demonstrate that orphan receptors are randomly distributed in the evolutionary tree and that there is no relationship between the position of a given liganded receptor in the tree and the chemical nature of its ligand. NRs are specific to metazoans, as revealed by a screen of NR-related sequences in early- and non-metazoan organisms. The analysis of the NR gene duplication pattern during the evolution of metazoans shows that the present NR diversity arose from two waves of gene duplications. Strikingly, our results suggest that the ancestral NR was an orphan receptor that acquired ligand-binding ability during subsequent evolution.
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
Cites
Sponge phylogeny, animal monophyly, and the origin of the nervous system: 18S rRNA evidence
Cavalier-Smith, T., Allsopp, M. T. E. P., Chao, E. E., Boury-Esnault, N., & Vacelet, J. (1996) · Canadian Journal of Zoology · doi:10.1139/z96-231 · Cited by 180
Cited by
Ecotoxicology of human pharmaceuticals
Fent, K., Weston, A. A., & Caminada, D. (2006) · Aquatic Toxicology · doi:10.1016/j.aquatox.2005.09.009 · Cited by 3,223
Varga, T., Czimmerer, Z., & Nagy, L. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.02.014 · Cited by 933
Overview of nomenclature of nuclear receptors
Germain, P., Staels, B., Dacquet, C., Spedding, M., & Laudet, V. (2006) · Pharmacological Reviews · doi:10.1124/pr.58.4.2 · Cited by 688
Self-citationPeterson, K. J., & Eernisse, D. J. (2001) · Evolution & Development · doi:10.1046/j.1525-142x.2001.003003170.x · Cited by 529
Peroxisome proliferator-activated receptors: insight into multiple cellular functions
Escher, P., & Wahli, W. (2000) · Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis · doi:10.1016/s0027-5107(99)00231-6 · Cited by 491
The role of 17 beta-hydroxysteroid dehydrogenases
Mindnich, R., Möller, G., & Adamski, J. (2004) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2003.12.006 · Cited by 354
Independent elaboration of steroid hormone signaling pathways in metazoans
Markov, G. V., Tavares, R., Dauphin-Villemant, C., Demeneix, B. A., Baker, M. E., & Laudet, V. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812138106 · Cited by 187
Self-citationSponge phylogeny, animal monophyly, and the origin of the nervous system: 18S rRNA evidence
Cavalier-Smith, T., Allsopp, M. T. E. P., Chao, E. E., Boury-Esnault, N., & Vacelet, J. (1996) · Canadian Journal of Zoology · doi:10.1139/z96-231 · Cited by 180
Identification of Farnesoid X Receptor β as a Novel Mammalian Nuclear Receptor Sensing Lanosterol
Otte, K., Kranz, H., Kober, I., Thompson, P., Hoefer, M., Haubold, B., Remmel, B., Voss, H., Kaiser, C., Albers, M., et al. (2003) · Molecular and Cellular Biology · doi:10.1128/mcb.23.3.864-872.2003 · Cited by 176
Regulatory evolution and the origin of the bilaterians
Peterson, K. J., & Davidson, E. H. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.9.4430 · Cited by 139
Molecular phylogeny of the ETS gene family
Laudet, V., Hänni, C., Stéhelin, D., & Duterque-Coquillaud, M. (1999) · Oncogene · doi:10.1038/sj.onc.1202444 · Cited by 139
Self-citationDevelopmental Signaling in Hydra: What Does It Take to Build a “Simple” Animal?
Steele, R. E. (2002) · Developmental Biology · doi:10.1006/dbio.2002.0744 · Cited by 129
Markov, G. V., Paris, M., Bertrand, S., & Laudet, V. (2008) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2008.06.011 · Cited by 48
Self-citationReitzel, A. M., Pang, K., Ryan, J. F., Mullikin, J. C., Martindale, M. Q., Baxevanis, A. D., & Tarrant, A. M. (2011) · EvoDevo · doi:10.1186/2041-9139-2-3 · Cited by 36
Metadata
- Authors
- Escriva, H., Safi, R., Hänni, C., Langlois, M.-C., Saumitou-Laprade, P., Stehelin, D., Capron, A., Pierce, R., & Laudet, V.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1997-06-24
- Volume
- 94
- Issue
- 13
- Pages
- 6803-6808
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2109894071
- Cited by
- 403
- References
- 1
- FWCI
- 11.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.
