ReviewGene expression1996
Human nuclear receptor heterodimers: opportunities for detecting targets of transcriptional regulation using yeast.
Review in Gene expression, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 16 citations in OpenAlex.
- Nuclear receptors in health and disease: signaling pathways, biological functions and pharmaceutical interventions.Signal transduction and targeted therapy · 2025Review
- Identification of CCR4 and other essential thyroid hormone receptor co-activators by modified yeast synthetic genetic array analysis.Proceedings of the National Academy of Sciences of the United States of America · 2009Article
- Yeast hormone response element assays detect and characterize GRIP1 coactivator-dependent activation of transcription by thyroid and retinoid nuclear receptors.Proceedings of the National Academy of Sciences of the United States of America · 1997Article
- Cross-talk between thyroid hormone and specific retinoid X receptor subtypes in yeast selectively regulates cognate ligand actions.Gene expression · 1996Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nuclear receptors are model transcription factors. This highly conserved superfamily of ligand binding transcription factors includes estrogen, progesterone, retinoic acid, thyroid hormone, vitamin D receptors, and several orphan receptors. Nuclear receptors function as homodimers, heterodimers, or monomers. Human thyroid hormone, retinoic acid, vitamin D, and several orphan receptors prefer to work as heterodimers with retinoic X receptor (RXR). RXR function is regulated by its cognate ligand 9-cisretinoic acid. In some cases heterodimers of RXR are subject to regulation by two different ligands. Mammalian cells are not entirely suited to study pure heterodimeric functions because they contain a repertoire of endogenous receptors and their ligands. Yeast does not contain nuclear receptors or its ligands. Ligand-dependent function of several human nuclear receptors has been reconstructed in yeast. Yeast can be used as a model system to dissect interaction between various heterodimeric partners. The molecular genetics and the speed of doing the experiments in yeast allows us to rapidly clone mammalian cofactors that prefer to work with different heterodimeric partners. Once the human genome sequence is complete, we predict that the total number of human nuclear receptors will increase from 150 to 500. Novel and efficient cell-based systems will be needed to understand the function of orphan receptors. Yeast is an ideal system to identify pure heterodimeric partners and discover novel ligands for orphan receptors. The advantages and disadvantages of yeast and mammalian system to study nuclear receptor function are discussed.
Indexed as
Identifiers
8723391PMC6138025W2397765852What Socratic holds
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 Socratic graph.