De novo telomere formation is suppressed by the Mec1-dependent inhibition of Cdc13 accumulation at DNA breaks
Bibliographic record
Abstract
DNA double-strand breaks (DSBs) are a threat to cell survival and genome integrity. In addition to canonical DNA repair systems, DSBs can be converted to telomeres by telomerase. This process, herein termed telomere healing, endangers genome stability, since it usually results in chromosome arm loss. Therefore, cells possess mechanisms that prevent the untimely action of telomerase on DSBs. Here we report that Mec1, the ATR ortholog, couples the detection of DNA ends with the inhibition of telomerase. Mec1 inhibits telomere healing by phosphorylating Cdc13 on its S306 residue, a phosphorylation event that suppresses Cdc13 accumulation at DSBs. Conversely, telomere addition at accidental breaks is promoted by Pph3, the yeast protein phosphatase 4 (PP4). Pph3 is itself modulated by Rrd1, an activator of PP2A family phosphatases. Rrd1 and Pph3 oppose Cdc13 S306 phosphorylation and are necessary for the efficient accumulation of Cdc13 at DNA breaks. These studies therefore identify a mechanism by which the ATR family of kinases enforces genome integrity, and a process that underscores the contribution of Cdc13 to the fate of DNA ends.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".