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Nuclear Trafficking of the G-Protein−Coupled Parathyroid Hormone Receptor

2008· review· en· W2066440600 on OpenAlexaff
Patricia H. Watson, Bryce W. Pickard

Bibliographic record

VenueCritical Reviews in Eukaryotic Gene Expression · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Kinase Regulation and GTPase Signaling
Canadian institutionsWestern University
Fundersnot available
KeywordsParathyroid hormoneParathyroid hormone receptorNuclear receptorChemistryReceptorHormone receptorInternal medicineMedicineBiochemistryGeneCalciumTranscription factor

Abstract

fetched live from OpenAlex

G-protein-coupled receptors are a family of receptors that signal primarily through heterotrimeric G proteins. However, new evidence has emerged to show that the signaling capabilities of the receptors are beyond those of traditional signaling cascades. One such example is that the parathyroid hormone (PTH) type 1 receptor is found not only at the plasma membrane but also in the nucleus of cells in cell lines and tissues. This review discusses the emerging concepts of nuclear PTH signaling and relates this information to the growing field of nuclear G-protein-coupled receptors. We review recently published studies on the mechanism of PTH nuclear localization, its role in the cell nucleus, and the contrasting roles ligands play in regulating the receptors' nuclear localization. The review also discusses the importance of nuclear G-protein-coupled receptors and future directions for research in this field.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.314
Teacher spread0.278 · 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 teacher head, not a consensus.

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

Citations10
Published2008
Admission routes1
Has abstractyes

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