Telomeric dysfunction triggers an unstable growth arrest leading to irreparable genomic lesions and entry into cellular senescence
Bibliographic record
Abstract
ABSTRACT Replicative senescence is the permanent growth arrest caused by gradual telomere attrition occurring at each round of genome replication. Critically shortened telomeres lose their protective shelterin complex and t-loop structure revealing uncapped chromosome ends that are recognized as DNA double-strand breaks causing a p53-dependent DNA damage response (DDR) towards proliferation arrest. Because telomeres are heterogeneous in length within a single cell, the number of short telomeres necessary for senescence onset remains ill defined. Using controlled Tin2-mediated shelterin inactivation, we show that telomere uncapping is not sufficient to trigger senescence. While uncapping generates expected telomeric DNA damage detection, the associated weak DDR allows a rapid bypass of the primary growth arrest and re-entry into the cell cycle despite dysfunctional telomeres. During the ensuing mitosis, fused telomeres lead to additional DNA breaks and to genomic instability including chromosomes bridges or micronuclei, which sustain a secondary entry into stable growth arrest. The loss of p53 prevented both primary and secondary growth arrest, leading to amplified genomic instablility. Our results support a new multistep model for entry into telomere-mediated replicative senescence in normal cells, which is not directly induced by telomere uncapping, but rather by an amplification of DNA lesions caused by telomere fusions that leads to permanent irreparable genome damage.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".