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Record W2041455872 · doi:10.1080/07420520600827087

The Circadian Regulation of<i>Presenilin‐2</i>Gene Expression

2006· article· en· W2041455872 on OpenAlexafffund
Valérie Bélanger, Nathalie Picard, Nicolas Cermakian

Bibliographic record

VenueChronobiology International · 2006
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsDouglas Mental Health University InstituteMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCircadian rhythmBiologyCLOCKCircadian clockOscillating geneE-boxGene isoformTranscription (linguistics)Gene expressionPresenilinGeneRegulation of gene expressionGeneticsCell biologyEndocrinologyInternal medicinePromoterAlzheimer's diseaseMedicine

Abstract

fetched live from OpenAlex

Circadian rhythms are generated by a molecular clock composed of clock genes and their protein products. Other genes are regulated in a rhythmic way by this molecular clockwork, but are not themselves constituents of the clock. This study shows that one of these clock-controlled genes encodes the signalling protein Presenilin-2. Indeed, evidence is presented that the promoter of the mouse Presenilin-2 gene is bound and activated by CLOCK and BMAL1, transcription factors of the mammalian circadian clock. Quantification of Presenilin-2 RNA shows that its expression is non-rhythmic in many peripheral tissues (heart, muscle, kidney, spleen, and thymus). Note, though, that careful analysis of the liver data shows that Presenilin-2 RNA exists in distinct isoforms in this tissue, and that rhythmicity is restricted to only a subset of these RNA isoforms. These data indicate a unique mode of regulation of Presenilin-2 transcripts, the circadian control of which appears to happen at the transcriptional and post-transcriptional levels.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.014
GPT teacher head0.248
Teacher spread0.235 · 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

Citations29
Published2006
Admission routes2
Has abstractyes

Explore more

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