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Record W2130585961 · doi:10.4161/cc.5.8.2690

Control of AIF-mediated Cell Death by the Functional Interplay of SIRT1 and PARP-1 in Response to DNA Damage

2006· article· en· W2130585961 on OpenAlexaff
Ullas Kolthur‐Seetharam, Françoise Dantzer, Michael W. McBurney, Gilbert de Murcia, Paolo Sassone‐Corsi

Bibliographic record

VenueCell Cycle · 2006
Typearticle
Languageen
FieldMedicine
TopicSirtuins and Resveratrol in Medicine
Canadian institutionsWilfrid Laurier UniversityUniversity of Ottawa
Fundersnot available
KeywordsPoly ADP ribose polymeraseBiologyNAD+ kinaseProgrammed cell deathDNA damageCell biologyApoptosisResveratrolApoptosis-inducing factorDNA repairSirtuin 1PARP1PolymeraseDNAGeneticsBiochemistryEnzymeCaspaseDownregulation and upregulationGene

Abstract

fetched live from OpenAlex

Cell survival after genotoxic stress is determined by a counterbalance of pro- and anti-death factors. Sirtuins (SIRTs) are deacetylases that promote cell survival whereas poly(ADP-ribose) polymerases (PARPs) can act both as survival and death inducing factor and the two protein families are strictly dependent on NAD(+) for their activities. Here we report that SIRT1 modulates PARP-1 activity upon DNA damage. Activation of SIRT1 by resveratrol leads to reduced PARP-1 activity and there is a drastic increase in PAR synthesis in sirt1-null cells. The unbalanced regulation of PARP-1 in the absence of SIRT1 results in AIF (apoptosis inducing factor)-mediated cell death. Our findings establish a functional link between the two NAD+-dependent enzyme systems and provide a physiological interpretation for the mechanism of death in cells lacking SIRT1.

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 score0.001
Threshold uncertainty score0.003

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 head0.005
GPT teacher head0.226
Teacher spread0.221 · 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

Citations196
Published2006
Admission routes1
Has abstractyes

Explore more

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