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Record W7011714760

Molecular characterization and functional analysis of the labrador retriever centronuclear myopathy

2006· other· fr· W7011714760 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2006
Typeother
Languagefr
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsnot available
Fundersnot available
KeywordsCongenital diseaseAnimal modelGenetic inheritanceLocus (genetics)Myopathy
DOInot available

Abstract

fetched live from OpenAlex

Un modèle animal spontané de la myopathie centronucléaire (cnm) humaine a été décrit chez le Labrador retriever. La cartographie du locus cnm nous a permis d'identifier une insertion d'élément répété de type SINE dans l'exon 2 du gène Protein Tyrosine Phosphatase-Like, member A (PTPLA). Cette insertion co-ségrège parfaitement avec la maladie et altère la transcription de l'allèle qui en est porteur. Nous avons également décrit un profil d'expression complexe pour l'allèle PTPLA+. Par analyse phylogénétique, nous avons montré que PTPLA appartient à une famille de 4 protéines conservées chez les métazoaires. Toutes quatre contiennent des signaux de rétention dans le réticulum endoplasmique et pourraient participer à la fonction de celui-ci. Ainsi, nos résultats permettent d'impliquer un gène supplémentaire dans le maintien de l'homéostasie des fibres musculaires et illustrent le potentiel du modèle canin pour l'identification des voies moléculaires impliquées dans les maladies humaines.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.295
Teacher spread0.276 · 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.

Study designNot applicable
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

Citations0
Published2006
Admission routes1
Has abstractyes

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