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Record W2152555722 · doi:10.1051/medsci/200622141

Le syndrome de l’X fragile : une protéine absente et 1001 ARNm déboussolés

2006· article· fr· W2152555722 on OpenAlexaff
Laëtitia Davidovic, Sandra Tremblay, Maud Gravel, Paul De Koninck, Edward W. Khandjian

Bibliographic record

Venuemédecine/sciences · 2006
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversité LavalHôpital Saint-François d'Assise
Fundersnot available
KeywordsHumanitiesMolecular biologyPhilosophyBiology

Abstract

fetched live from OpenAlex

Fragile X syndrome is the most common form of inherited mental retardation. This X-linked disease is due to transcriptional silencing of the Fragile Mental Retardation 1 (FMR1) gene and the absence of its gene product, FMRP. This protein is an RNA-binding protein present in mRNP complexes associated with the translation machinery and is thought to be a key player in the control of mRNA transport in neurons. However, the exact role of FMRP in translation remains unclear. Two homologous proteins, FXR1P and FXR2P, are also found in RNP complexes containing FMRP, suggesting that FMRP's functions are much more complex than first thought. The molecular mechanisms altered in cells lacking FMRP still remain to be elucidated, as well as the putative roles of FXR1P and FXR2P as compensatory molecules. Here, we review the various possible functions of FMRP in RNA localization and transport in highly differentiated cells containing dendritic extensions such as neurons.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.252
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations9
Published2006
Admission routes1
Has abstractyes

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