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Record W1980311491 · doi:10.1182/blood-2002-02-0504

The death-promoting activity of p53 can be inhibited by distinct signaling pathways

2002· article· en· W1980311491 on OpenAlexaff
Yunping Lin, Lauren Brown, David W. Hedley, Dwayne L. Barber, Samuel Benchimol

Bibliographic record

VenueBlood · 2002
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsSignal transductionApoptosisCancer researchBiologyMedicineChemistryCell biologyGenetics

Abstract

fetched live from OpenAlex

Various cytokines have been shown to protect cells from p53-dependent apoptosis. To investigate the mechanism underlying cytokine-mediated survival, we used a Friend virus-transformed erythroleukemia cell line that expresses a temperature-sensitive p53 allele. These cells express the spleen focus-forming virus-encoded envelope glycoprotein gp55 that allows the cells to proliferate in the absence of erythropoietin (EPO). These cells respond to p53 activation at 32 degrees C by undergoing G(1) cell cycle arrest and apoptosis. In the presence of EPO, p53 activation leads only to prolonged but viable G(1) arrest. These findings indicate that EPO functions as a survival factor and that gp55/EPO receptor signaling is distinct from EPO/EPO receptor signaling. We demonstrate that p53-dependent apoptosis results in mitochondrial damage as shown by loss of mitochondrial membrane potential, increase in intracellular calcium, and release of mitochondrial cytochrome c into the cytosol. EPO prevented all of these changes including the subsequent activation of caspases. We identify an intrinsic phosphatidylinositol-3'-OH kinase/protein kinase B (PI3'K/PKB)-dependent survival pathway that is constitutively active in these cells. This survival pathway limits p53-dependent apoptosis. We propose that EPO promotes survival through a distinct pathway that is dependent on JAK2 but independent of STAT5 and PI3'K.

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)0.000
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 score0.006
Threshold uncertainty score0.565

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 head0.025
GPT teacher head0.228
Teacher spread0.203 · 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

Citations21
Published2002
Admission routes1
Has abstractyes

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