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Record W2014379407 · doi:10.1196/annals.1336.020

Role of Nuclear Receptors in <i>INSL3</i> Gene Transcription in Leydig Cells

2005· article· en· W2014379407 on OpenAlexaff
Jacques Tremblay, Nicholas M. Robert

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2005
Typearticle
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsUniversité LavalCentre hospitalier de l'Université Laval
Fundersnot available
KeywordsNuclear receptorNerve growth factor IBLeydig cellBiologyTranscription factorReceptorOrphan receptorCell biologyNeuron-derived orphan receptor 1GeneTranscription (linguistics)Sertoli cellMolecular biologyEndocrinologyHormoneGeneticsSpermatogenesis

Abstract

fetched live from OpenAlex

Insulin-like 3 (INSL3) is a hormone produced by testicular Leydig cells throughout life. During embryonic life it regulates an essential step of testicular descent, whereas in adults it acts as a male germ cell survival factor. Despite the importance of INSL3 for male sex differentiation and function, very little is known regarding the molecular mechanisms that regulate its expression. So far, the nuclear receptor SF-1 is the only transcription factor known to regulate the mouse Insl3 promoter in Leydig cells. In order to further our understanding of the transcriptional regulation of INSL3 expression, we have isolated the human INSL3 promoter and tested the effects of the nuclear receptors SF-1, LRH-1, and Nur77 on its activity in Leydig cells. In transfections assays, all three nuclear receptors activated the human INSL3 promoter but especially Nur77, which acted through a novel regulatory element. Thus, the human INSL3 promoter constitutes a novel target for the orphan nuclear receptor Nur77.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.075
GPT teacher head0.346
Teacher spread0.271 · 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 designBench or experimental
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

Citations20
Published2005
Admission routes1
Has abstractyes

Explore more

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