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Record W2149619447

Constitutive p38HOG mitogen-activated protein kinase activation induces permanent cell cycle arrest and senescence.

2002· article· en· W2149619447 on OpenAlexaff
Rizwan Haq, James D. Brenton, Mark Takahashi, Dina Finan, Ariel Finkielsztein, Sambasivarao Damaraju, Robert Rottapel, Brent W. Zanke

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSenescenceCell biologyCell cycle checkpointProtein kinase ABiologyp38 mitogen-activated protein kinasesActivator (genetics)Cell cycleKinaseDNA damageCellMolecular biologyGeneBiochemistryDNA
DOInot available

Abstract

fetched live from OpenAlex

Cellular senescence, initially observed during subculturing of normal diploid fibroblasts, can also be induced by chronic exposure to cellular stress, such as UV light, oxidative stress, or DNA damaging agents. Here we demonstrate that stable expression of an activated form of MKK6 (MKK6EE), a direct activator of the stress-induced p38(HOG) mitogen-activated protein kinase pathway, is sufficient for inducing features of senescence including a flattened, vacuolated, and irregular morphology, staining for acidic beta-galactosidase, and accumulation of age-associated pigments. Consistent with the senescent phenotype, p38(HOG) activation induces a G(1) cell cycle arrest, which is permanent and irreversible after 4 days. MKK6EE also induces biochemical features of senescence in a p38-dependent manner, including enhanced expression of p21(CIP), a cyclin-dependent kinase inhibitor. Microarray analysis of MKK6EE cells showed a pattern of gene expression noted previously in Werner Syndrome and senescent fibroblasts. These results define p38(HOG) as an intracellular pathway that activates a senescence checkpoint in tumor cells and may play a role in Ras- or stress-induced senescence.

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 score0.174
Threshold uncertainty score0.875

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 head0.028
GPT teacher head0.217
Teacher spread0.189 · 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

Citations143
Published2002
Admission routes1
Has abstractyes

Explore more

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