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Record W3199921626 · doi:10.1016/j.molcel.2021.08.028

A hydride transfer complex reprograms NAD metabolism and bypasses senescence

2021· article· en· W3199921626 on OpenAlexafffund
Sebastian Igelmann, Frédéric Lessard, Oro Uchenunu, Jacob Bouchard, Ana Fernández Ruiz, Marie‐Camille Rowell, Stéphane Lopes‐Paciencia, David Papadopoli, Aurélien Fouillen, Katia Julissa Ponce, Geneviève Huot, Lian Mignacca, Mehdi Benfdil, Paloma Kalegari, Haytham M. Wahba, Jan Pěnčík, Nhung Vuong, Jordan Quenneville, Jordan Guillon, Véronique Bourdeau, Laura Hulea, Étienne Gagnon, Lukas Kenner, Richard Moriggl, Antonio Nanci, Michaël Pollak, James G. Omichinski, Ivan Topisirović, Gerardo Ferbeyre

Bibliographic record

VenueMolecular Cell · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsHôpital Maisonneuve-RosemontJewish General HospitalUniversité de MontréalInstitute for Research in Immunology and CancerMcGill UniversityCentre Hospitalier de l’Université de Montréal
FundersFonds de Recherche du Québec - SantéNational Foundation for Science and Technology DevelopmentCanadian Cancer Society Research InstituteSteirische WirtschaftsförderungsgesellschaftCanadian Institutes of Health ResearchInstitut Du Cancer de MontréalBundesministerium für Digitalisierung und WirtschaftsstandortNatural Sciences and Engineering Research Council of CanadaBundesministerium für Verkehr, Innovation und TechnologieÖsterreichischen Akademie der WissenschaftenTerry Fox Research InstituteCanadian Imperial Bank of Commerce
KeywordsBiologySenescenceNAD+ kinaseCancer cellCell biologyCytosolCarcinogenesisMalic enzymeBiochemistryEnzymeCancerDehydrogenaseGeneGenetics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 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 score0.114
Threshold uncertainty score0.665

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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.

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

Citations63
Published2021
Admission routes2
Has abstractno

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