ReviewMolecular and cellular endocrinology2012
The road less traveled: new views of steroid receptor action from the path of dose-response curves.
Review in Molecular and cellular endocrinology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Characterisation of progestins used in hormonal contraception and progesterone via the progesterone receptor.Biochemical and biophysical research communications · 2020Article
- A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes.Frontiers in pharmacology · 2019Article
- An Approach to Greater Specificity for Glucocorticoids.Frontiers in endocrinology · 2018Review
- Glucocorticoid-independent modulation of GR activity: Implications for immunotherapy.Pharmacology & therapeutics · 2016Review
- Modifications to glucocorticoid and progesterone receptors alter cell fate in breast cancer.Journal of molecular endocrinology · 2016Review
- Kinetically-defined component actions in gene repression.PLoS computational biology · 2015Article
- A kinase-independent activity of Cdk9 modulates glucocorticoid receptor-mediated gene induction.Biochemistry · 2014Article
- Minireview: dynamic structures of nuclear hormone receptors: new promises and challenges.Molecular endocrinology (Baltimore, Md.) · 2014Review
- Eukaryotic transcriptional dynamics: from single molecules to cell populations.Nature reviews. Genetics · 2013Review
- PA1 protein, a new competitive decelerator acting at more than one step to impede glucocorticoid receptor-mediated transactivation.The Journal of biological chemistry · 2013Article
- Point mutations in the ERα Gαi binding domain segregate nonnuclear from nuclear receptor function.Molecular endocrinology (Baltimore, Md.) · 2013Article
- Identification of location and kinetically defined mechanism of cofactors and reporter genes in the cascade of steroid-regulated transactivation.The Journal of biological chemistry · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Conventional studies of steroid hormone action proceed via quantitation of the maximal activity for gene induction at saturating concentrations of agonist steroid (i.e., A(max)). Less frequently analyzed parameters of receptor-mediated gene expression are EC(50) and PAA. The EC(50) is the concentration of steroid required for half-maximal agonist activity and is readily determined from the dose-response curve. The PAA is the partial agonist activity of an antagonist steroid, expressed as percent of A(max) under the same conditions. Recent results demonstrate that new and otherwise inaccessible mechanistic information is obtained when the EC(50) and/or PAA are examined in addition to the A(max). Specifically, A(max), EC(50), and PAA can be independently regulated, which suggests that novel pathways and factors may preferentially modify the EC(50) and/or PAA with little effect on A(max). Other approaches indicate that the activity of receptor-bound factors can be altered without changing the binding of factors to receptor. Finally, a new theoretical model of steroid hormone action not only permits a mechanistically based definition of factor activity but also allows the positioning of when a factor acts, as opposed to binds, relative to a kinetically defined step. These advances illustrate some of the benefits of expanding the mechanistic studies of steroid hormone action to routinely include EC(50) and PAA.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.