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Record W2039949314 · doi:10.1210/me.2001-0103

The Cyclin D1 and Cyclin A Genes Are Targets of Activated PTH/PTHrP Receptors in Jansen’s Metaphyseal Chondrodysplasia

2002· article· en· W2039949314 on OpenAlexaff
Frank Beier, Phyllis LuValle

Bibliographic record

VenueMolecular Endocrinology · 2002
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsUniversity of CalgaryCanadian Institutes of Health ResearchWestern University
Fundersnot available
KeywordsCyclin D1BiologyCyclin DPromoterTranscription factorCyclinMolecular biologyCyclin ACyclin BCyclin A2ReceptorCell biologyCancer researchGene expressionCell cycleGeneGenetics

Abstract

fetched live from OpenAlex

Jansen's metaphyseal chondrodysplasia (JMC) is an autosomal dominant disorder characterized by short-limbed dwarfism, delayed ossification, and hypercalcemia. Activating mutations in the PTH/PTHrP receptor have been identified as the molecular cause of this disorder. Although these mutations have been shown to increase cAMP accumulation, little is known about possible target genes of the downstream signaling pathways that may contribute to the pathogenesis of the disease. Here we demonstrate that JMC mutations of the PTH/PTHrP receptor induce activation of the cyclin D1 and cyclin A promoters in primary mouse chondrocytes and rat chondrosarcoma cells. Induction of cyclin D1 expression is required for stimulation of E2F-dependent transcription by mutant receptors. Activation of the cyclin D1 and cyclin A promoters requires a functional cAMP response element in both genes. Inhibition of protein kinase A or the transcription factor cAMP response element binding protein blocks the stimulation of both promoters by mutant receptors, whereas inhibition of activating transcription factor 2, c-Fos, or c-Jun has only minor effects. In summary, our data suggest that stimulation of cell cycle gene expression and cell cycle progression by mutant PTH/PTHrP receptors contribute to the pathogenesis of JMC.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations45
Published2002
Admission routes1
Has abstractyes

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