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Record W2116915784 · doi:10.1093/hmg/ddi299

Ribosomal frameshifting on MJD-1 transcripts with long CAG tracts

2005· article· en· W2116915784 on OpenAlexaff
André Toulouse, Faith Au-Yeung, Cláudia Gaspar, Julie Roussel, Patrick A. Dion, Guy A. Rouleau

Bibliographic record

VenueHuman Molecular Genetics · 2005
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsHôpital Notre-DameCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsTranslational frameshiftBiologyRibosomeGeneticsNeurodegenerationMechanism (biology)Cell biologyGeneRNAMedicine

Abstract

fetched live from OpenAlex

The expanded CAG tract diseases are a heterogeneous group of late-onset neurodegenerative disorders characterized by the accumulation of insoluble protein material and premature neuronal cell death. Recent work has provided support for several mechanisms that may account for neurodegeneration, but no unifying mechanism has emerged. We have previously demonstrated that in SCA3, the expanded CAG tract in the MJD-1 transcript is prone to frameshifting, which may lead to the production of polyalanine-containing proteins. To further examine the occurrence of frameshifting and understand its mechanism and possible role in pathogenesis, a cellular model was established. We show that this phenomenon results from ribosomal slippage to the -1 frame exclusively, that ribosomal frameshifting depends on the presence of long CAG tracts and that polyalanine-frameshifted proteins may enhance polyglutamine-associated toxicity, possibly contributing to pathogenesis. Finally, we present evidence that anisomycin, a ribosome-interacting drug that reduces -1 frameshifting, also reduces toxicity, suggesting a new therapeutic opportunity for these disorders.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score1.000

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 head0.031
GPT teacher head0.276
Teacher spread0.245 · 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 designBench or experimental
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

Citations63
Published2005
Admission routes1
Has abstractyes

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