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Record W2006364143 · doi:10.1089/rej.2006.9.69

Chromatin Modification and Senescence: Linkage by Tumor Suppressors?

2006· review· en· W2006364143 on OpenAlex
Xijing Han, Philip Berardi, Karl Riabowol

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueRejuvenation Research · 2006
Typereview
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsChromatinSenescenceBiologyCell biologyTelomereChromatin remodelingHistoneEpigeneticsGene silencingBivalent chromatinGeneticsGene

Abstract

fetched live from OpenAlex

Senescence was originally defined as a state associated with cell cycle arrest that occurs after cells have undergone an intrinsically limited number of divisions in vitro. Much evidence indicates that senescence occurs as a consequence of the internal stress signal generated from shortening telomeres on the ends of chromosomes. However, more recently, various forms of extrinsic stresses have been shown to induce a markedly similar senescent phenotype that includes changes in chromatin structure and gene expression. Chromatin structure is subject to many forms of modification that affect transcription, gene silencing, cell proliferation, and senescence, much of which involves imposition of an epigenetic histone code. Several genes in the p53, Rb, and ING (inhibitor of growth) pathways affect cell senescence and are capable of regulating gene expression through chromatin remodeling. This suggests that a link may exist between chromatin modification and cellular senescence through the activity of proteins typically defined as tumor suppressors.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.179
GPT teacher head0.482
Teacher spread0.302 · 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