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Record W1981809365 · doi:10.4161/cc.6.24.5106

Revealing a Role of MicroRNAs in the Regulation of the Biological Clock

2007· review· en· W1981809365 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCell Cycle · 2007
Typereview
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBiologymicroRNACircadian clockCircadian rhythmMolecular clockRegulation of gene expressionOscillating geneCLOCKSuprachiasmatic nucleusTranslation (biology)Cell biologyComputational biologyGeneGeneticsNeuroscienceMessenger RNA

Abstract

fetched live from OpenAlex

In the last decade numerous studies have unveiled the pervasive role of microRNAs (miRNAs), a class of small, non-coding transcripts, in post-transcriptional gene regulation in biological processes ranging from development to cancer. Until recently, the circadian clock has been modeled as simple, interlocking, transcriptional feedback loops that drive rhythmic gene expression of a few core 'clock' determinants. The biological implications of miRNAs are extended further by our recent discovery that miRNAs are expressed in the suprachiasmatic nuclei (SCN), the master circadian clock in mammals, in a rhythmic and inducible fashion, and modulate the intrinsic pacemaker activity and resetting capacity of the SCN. In this review, we will discuss the specific roles of miRNA-(miR-)132 and miR-219 in the SCN, as well as a more general outlook on this newly elucidated layer of circadian clock regulation: inducible translation control via miRNAs.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score0.248

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 head0.069
GPT teacher head0.309
Teacher spread0.241 · 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