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Record W1982305402 · doi:10.1073/pnas.152053599

Chk2 is dispensable for p53-mediated G <sub>1</sub> arrest but is required for a latent p53-mediated apoptotic response

2002· article· en· W1982305402 on OpenAlexaff
Melissa T. Jack, Richard A. Woo, Atsushi Hirao, Alison Cheung, Tak W. Mak, Patrick W.K. Lee

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2002
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsAmgen (Canada)University of CalgaryUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsDNA damageCheckpoint Kinase 2ApoptosisCell biologyCell cycle checkpointCHEK1Ataxia-telangiectasiaG2-M DNA damage checkpointBiologyDNA repairCell cycleDNAGenetics

Abstract

fetched live from OpenAlex

In response to genotoxic stress, mammalian cells can activate cell cycle checkpoint pathways to arrest the cell for repair of DNA damage or induce apoptosis to eliminate damaged cells. The checkpoint kinase, Chk2, has been implicated in both of these responses and is believed to function in an ataxia telangiectasia (Atm)-dependent manner. We show here that Chk2-/- mouse embryo fibroblasts (MEFs), unlike Atm-/- or p53-/- MEFs, behaved like normal MEFs in manifesting p21 induction and G(1) arrest upon exposure to gamma-irradiation. Therefore, Chk2 is not involved in p53-mediated G(1) arrest. To examine the role of Chk2 in p53-dependent apoptotic response, we used adenovirus E1A-expressing MEFs. We show that Chk2-/- cells, like p53-/- cells, did not undergo DNA damage-induced apoptosis, whereas Atm-/- cells behaved like normal cells in invoking an apoptotic response. Furthermore, this apoptosis could occur in the absence of protein synthesis, suggesting that it is preexisting, or "latent," p53 that mediates this response. We conclude that Chk2 is not involved in Atm- and p53-dependent G(1) arrest, but is involved in the activation of latent p53, independently of Atm, in triggering DNA damage-induced apoptosis.

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)0.005
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 score0.024
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.062
GPT teacher head0.298
Teacher spread0.236 · 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

Citations142
Published2002
Admission routes1
Has abstractyes

Explore more

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