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Record W2526061953 · doi:10.71781/26715

Identification de régulateurs de la voie de signalisation du suppresseur tumoral PAR-4/LKB1 chez C. elegans

2015· dissertation· fr· W2526061953 on OpenAlexfundno aff
Catherine Descoteaux

Bibliographic record

VenueOpen MIND · 2015
Typedissertation
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchUniversité de MontréalAgence Nationale de la Recherche
KeywordsMolecular biologyChemistryBiology

Abstract

fetched live from OpenAlex

Le gène par-4 code pour une kinase à sérine/thréonine très conservée qui régule la polarisation précoce et la division cellulaire asymétrique de l’embryon de C. elegans. Une mutation de par-4 entraîne la létalité embryonnaire en perturbant trois processus: la ségrégation asymétrique des déterminants cellulaires, la régulation asynchrone de la progression du cycle cellulaire et la contractilité du réseau d’actomyosine. Pour identifier des régulateurs des voies de signalisation de PAR-4, nous avons procédé à un criblage pour des suppresseurs de la létalité embryonnaire associée à une mutation de par-4. Nous avons identifié 6 gènes qui codent pour des homologues conservés avec des activités définies telles que la phosphorylation, l’ubiquitination, la protéolyse et l’échafaudage. En employant l’imagerie quantitative pour suivre des événements cellulaires dépendants de PAR-4, nous avons déterminé quels processus sont contrôlés par chaque suppresseur durant le développement embryonnaire de C. elegans. Des analyses moléculaires de ces suppresseurs ont révélé des détails sur le mécanisme par lequel PAR-4 régule la polarisation cellulaire et promeut la division cellulaire asymétrique.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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