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Record W4414889355 · doi:10.1016/j.dnarep.2025.103898

PARP enzyme synthesis of protein-free poly(ADP-ribose): Implications for DNA damage signaling and repair

2025· article· en· W4414889355 on OpenAlexafffund
Marie-France Langelier, John M. Pascal

Bibliographic record

VenueDNA repair · 2025
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversité de Montréal
FundersCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsDNA damagePoly ADP ribose polymerasePARP1DNA repairDNAContext (archaeology)DNA replicationEnzyme

Abstract

fetched live from OpenAlex

Poly(ADP-ribose) or PAR is a versatile signaling molecule with a broad impact on human biology. PAR is a prominent indicator of cellular DNA damage and genomic transactions such as replication and transcription. Canonically, human PARP enzymes create PAR as a modification on proteins. Recently, PARP enzymes were found to create free PAR molecules that are not attached to protein. Free PAR has been implicated in cell death signaling, but the production of free PAR was assumed to be generated by glycohydrolases breaking down protein-linked PAR into smaller fragments. The direct de novo production of free PAR by PARP1 occurs alongside the synthesis of protein-linked PAR in response to DNA damage, suggesting a more prevalent role for free PAR in DNA damage signaling. This review outlines the discovery of free PAR synthesis in biochemical reactions and in cellular models of the DNA damage response. The implications for this finding are summarized in the context of DNA damage signaling and associated processes of biomolecular condensate formation and Parthanatos cell death signaling.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.021
GPT teacher head0.306
Teacher spread0.285 · 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

Citations3
Published2025
Admission routes2
Has abstractno

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