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Record W2046501783 · doi:10.4161/rna.2.2.1603

QUAKING KH Domain Proteins as Regulators of Glial Cell Fate and Myelination

2005· review· en· W2046501783 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

VenueRNA Biology · 2005
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsBiologyOligodendrocyteRNA-binding proteinMyelinCell fate determinationEctopic expressionCell biologyRNAGeneticsGeneNeuroscienceCentral nervous systemTranscription factor

Abstract

fetched live from OpenAlex

The quaking viable (qk(v)) mice have attracted attention because of their characteristic tremor caused by their dysmyelination. In the central nervous system, qk(v) mice fail to develop mature myelinating oligodendrocytes and display uncompacted myelin. The genetic defect in the qk(v) mice prevents the proper expression of alternatively spliced KH-type QKI RNA binding proteins. Thus qk(v) mice provide a unique animal model linking RNA binding proteins to defects in oligodendrocyte cell fate and myelination. The fact that QKI proteins are modified post-translationally makes them Signal Transduction Activiators of RNA (STAR) proteins. We have used a gain-of-function approach with the ectopic expression of the separate QKI isoforms using adenoviruses and retroviruses to determine their separate roles in cell fate and myelination. Herein, we discuss the recent advances in characterizing the QKI KH-type proteins as glial cell fate and myelin egulators.

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 score0.989
Threshold uncertainty score0.736

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 integrity0.0010.000
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 head0.020
GPT teacher head0.340
Teacher spread0.320 · 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