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Record W4393393597

Caractérisation génétique et fonctionnelle d'affections canines, modèles de maladies neuromusculaires

2010· preprint· en· W4393393597 on OpenAlexaboutno aff
Marie Maurer

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2010
Typepreprint
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsBiology
DOInot available

Abstract

fetched live from OpenAlex

Myotubular/centronuclear myopathies form a group of rare congenital diseases in man. Their molecular etiology has been widely investigated over the last years and proteins involved in those diseases all contribute to formation, maintenance or function of T-tubules in muscle cells triads. In Labradors, spontaneous myopathies with similar features have been described worldwide. Thanks to a French pedigree, a causal mutation in the PTPLA gene has been linked with the disease. It consists in the insertion of a retrotransposon in exon 2 of the gene. Our work has shown that these various myopathies in Labradors are indeed caused by a single mutation resulting from a founder effect and thus constitute a single disease entity for which we suggest the name of « centronuclear myopathy of the Labrador Retriever ». In order to better characterize the pathophysiological mechanisms of this disease model, we analyzed the expression pattern of PTPLA in dogs and mice. Two major splice transcripts have been described which are expressed differently in a space and time-dependent manner. In addition, the mutation induced defects in the splicing in every organ sampled in affected dogs. Pan-specific antibodies have been characterised in order to identify and precisely localize protein isoforms of PTPLA. Finally, anomalies in the T-tubules network have been described in myofibers from affected dogs, confirming the relevance of this spontaneous model for comparative pathology and ultimately, for preclinical trials. .

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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 science0.0000.001
Research integrity0.0000.002
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 head0.018
GPT teacher head0.265
Teacher spread0.248 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueHAL (Le Centre pour la Communication Scientifique Directe)Same topicNeurogenetic and Muscular Disorders ResearchFrench-language works237,207