Restriction on Ku’s Inward Translocation Caps Telomere Ends
Bibliographic record
Abstract
ABSTRACT Safeguarding chromosome ends against fusions via nonhomologous end joining (NHEJ) is essential for preserving genome integrity. Paradoxically, the conserved NHEJ core factor Ku binds telomere ends. How it is prevented from promoting NHEJ remains unclear, as does the mechanism that allows Ku to coexist with telomere-protective DNA binding proteins, e.g., Rap1 in Saccharomyces cerevisiae . Here, we reveal a direct role for Rap1 in the inhibition of Ku’s NHEJ function at telomeres. A single Rap1 molecule bound near a DNA end inhibits NHEJ in vivo without disrupting Ku presence. Consistent with this, Rap1 and Ku form a complex on short DNA duplexes in vitro . Cryo-EM and molecular modelling analysis of this complex shows that Rap1 obstructs Ku’s inward translocation on DNA – an essential step for NHEJ at broken ends. Nanopore sequencing of telomere fusions confirms the importance of this pathway in protecting native telomere ends. Collectively, our findings uncover a mechanism of telomere end protection mediated by restricting Ku’s inward translocation, a functional switch that prevents promiscuous NHEJ repair at telomeres.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".