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Record W2017215338 · doi:10.1093/nar/gkt134

The PARP3- and ATM-dependent phosphorylation of APLF facilitates DNA double-strand break repair

2013· article· en· W2017215338 on OpenAlexafffund
Amanda L. Fenton, Purnata Shirodkar, Chloe J. Macrae, Meng Li, Christine Koch

Bibliographic record

VenueNucleic Acids Research · 2013
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkOntario Institute for Cancer Research
FundersCanadian Institutes of Health ResearchTerry Fox Foundation
KeywordsBiologyDNAPhosphorylationCell biologyGeneticsDNA repairDNA-binding proteinComputational biologyMolecular biologyBiophysicsGeneTranscription factor

Abstract

fetched live from OpenAlex

APLF is a forkhead associated-containing protein with poly(ADP-ribose)-binding zinc finger (PBZ) domains, which undergoes ionizing radiation (IR)-induced and Ataxia-Telangiectasia Mutated (ATM)-dependent phosphorylation at serine-116 (Ser(116)). Here, we demonstrate that the phosphorylation of APLF at Ser(116) in human U2OS cells by ATM is dependent on poly(ADP-ribose) polymerase 3 (PARP3) levels and the APLF PBZ domains. The interaction of APLF at sites of DNA damage was diminished by the single substitution of APLF Ser(116) to alanine, and the cellular depletion or chemical inhibition of ATM or PARP3 also altered the level of accumulation of APLF at sites of laser-induced DNA damage and impaired the accumulation of Ser(116)-phosphorylated APLF at IR-induced γH2AX foci in human cells. The data further suggest that ATM and PARP3 participate in a common signalling pathway to facilitate APLF-Ser(116) phosphorylation, which, in turn, appears to be required for efficient DNA double-strand break repair kinetics and cell survival following IR. Collectively, these findings provide a more detailed understanding of the molecular pathway that leads to the phosphorylation of APLF following DNA damage and suggest that Ser(116)-APLF phosphorylation facilitates APLF-dependent double-strand break repair.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.058
GPT teacher head0.359
Teacher spread0.300 · 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.

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
Published2013
Admission routes2
Has abstractyes

Explore more

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