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Poly(ADP-Ribose) Metabolism Analysis in the Nematode Caenorhabditis elegans

2011· article· en· W117351027 on OpenAlexaff
Jean-François St-Laurent, Serge Desnoyers

Bibliographic record

VenueMethods in molecular biology · 2011
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversité LavalCentre hospitalier de l'Université LavalCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsCaenorhabditis elegansPoly ADP ribose polymeraseBiologyDNA repairEnzymeBiochemistryTranscription (linguistics)DNA damagePolymeraseRiboseDNACell biologyGene

Abstract

fetched live from OpenAlex

Poly(ADP-ribose) polymerases (PARPs) are a well-conserved family of enzymes found in many species. These enzymes catalyze poly(ADP-ribosyl)ation, a modification of proteins implicated in a variety of nuclear processes, such as DNA damage signaling and repair, cell death and survival, and transcription. Poly(ADP-ribose) glycohydrolase (PARG) is responsible for the specific hydrolysis of poly(ADP-ribose) (PAR), the product of poly(ADP-ribosyl)ation, and its action is required for the modified proteins to regain their original function in the cell. The metabolism of PAR can be studied in the nematode Caenorhabditis elegans as genes encoding PARP and PARG enzymes have been identified and characterized in its genome. We have shown the capacity of these PARPs to produce PAR as well as the capacity of the nematode to catabolize PAR into ADP-ribose units through the enzymatic activity of its PARGs. Therefore, C. elegans is a novel model to study PAR metabolism in eukaryotes that offers new avenues to investigate the role(s) of poly(ADP-ribosyl)ation in development as well as DNA repair, programmed cell death, and aging.

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: Methods · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.051
GPT teacher head0.435
Teacher spread0.384 · 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
GenreMethods

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

Citations6
Published2011
Admission routes1
Has abstractyes

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