ArticleBiochemistry2006
Flanking sequence composition differentially affects the binding and functional characteristics of glucocorticoid receptor homo- and heterodimers.
Article in Biochemistry, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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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
11 citing papers in PubMed, 14 citations in OpenAlex.
- Genome-wide analysis of AAAG and ACGT cis-elements in Arabidopsis thaliana reveals their involvement with genes downregulated under jasmonic acid response in an orientation independent manner.G3 (Bethesda, Md.) · 2022Article
- Modelling and measuring intracellular competition for finite resources during gene expression.Journal of the Royal Society, Interface · 2019Article
- Flexibility and structure of flanking DNA impact transcription factor affinity for its core motif.Nucleic acids research · 2018Article
- Glucocorticoid therapy and ocular hypertension.European journal of pharmacology · 2016Review
- Using protein-binding microarrays to study transcription factor specificity: homologs, isoforms and complexes.Briefings in functional genomics · 2015Review
- In pursuit of design principles of regulatory sequences.Nature reviews. Genetics · 2014Review
- CTCF binding site sequence differences are associated with unique regulatory and functional trends during embryonic stem cell differentiation.Nucleic acids research · 2014Article
- Genomic regions flanking E-box binding sites influence DNA binding specificity of bHLH transcription factors through DNA shape.Cell reports · 2013Article
- Small-molecule hormones: molecular mechanisms of action.International journal of endocrinology · 2013Article
- Finding subtypes of transcription factor motif pairs with distinct regulatory roles.Nucleic acids research · 2011Article
- Glucocorticoid receptor cofactors as therapeutic targets.Current opinion in pharmacology · 2010Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The core binding sites for a multitude of transcription factors have been identified and characterized, but these sequences cannot fully account for the nuances of cell-specific and gene-specific control of gene transcription. Many factors may contribute to the precise responsiveness of a gene to a particular transcriptional regulatory protein, including the nucleotides in the proximity of the core binding site for that protein. Here, we examine two flanking sequences bordering a site in the gamma-fibrinogen gene regulatory region that binds a heterodimer of the Xenopus glucocorticoid receptor accessory factor (XGRAF) and the glucocorticoid receptor (GR). Mutation of the upstream flank results in a decrease in the level of XGRAF binding but little change in hormone induction. However, alteration of the downstream flank adjacent to the GR binding site causes a decrease in levels of both GR monomer binding and hormone induction. Conversion of the XGRAF-GR binding site to a full glucocorticoid response element (GRE) alters the role of the flanking sequences. A full GRE in this position requires the wild-type upstream flank to bind GR homodimer and induce transcription to maximal levels. In contrast, mutation of the downstream flank is not detrimental to either the binding or the function of the GR dimer. Thus, flanking sequence composition and dimer partner combine to influence GR function, underscoring the complexities involved in the identification of authentic transcription factor response elements.
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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.