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Record W2058120782 · doi:10.1002/iub.245

Emerging roles of glucocorticoid receptor phosphorylation in modulating glucocorticoid hormone action in health and disease

2009· review· en· W2058120782 on OpenAlexaff
Amy Galliher-Beckley, John A. Cidlowski

Bibliographic record

VenueIUBMB Life · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsTellabs (Canada)
FundersU.S. Public Health ServiceNational Institutes of Health
KeywordsPhosphorylationTranscription factorGlucocorticoid receptorHomeostasisSerineHormoneKinaseGlucocorticoidCell biologySignal transductionThreoninep38 mitogen-activated protein kinasesReceptorBiologyChemistryProtein kinase AEndocrinologyBiochemistryGene

Abstract

fetched live from OpenAlex

Glucocorticoids (GCs) are hormones naturally released when the body perceives stress and function to return homeostatic balance within various tissues. Synthetic GCs are widely prescribed therapeutics for the treatment of numerous inflammatory disorders and cancers. The effects of GCs are mediated by their binding and activation of the GC receptor (GR), a transcription factor that is subject to hormone-dependent and -independent phosphorylation on several serine and threonine residues. The GR is phosphorylated by kinases such as MAPKs, CDKs, and GSK-3beta, and these modifications modulate the transcriptional activity of the GR within cells. Here, we discuss the phosphorylation status of the GR as a mechanism to dictate how cells will ultimately respond to GCs. In doing so, we will review current knowledge about each phosphorylated residue within the GR and their contributions to modulating GC signaling in normal homeostatic physiology and during the progression of disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.316
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations206
Published2009
Admission routes1
Has abstractyes

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