Termination of Replication Stress Signaling via Concerted Action of the Slx4 Scaffold and the PP4 Phosphatase
Bibliographic record
Abstract
In response to replication stress, signaling mediated by DNA damage checkpoint kinases protects genome integrity. However, following repair or bypass of DNA lesions, checkpoint signaling needs to be terminated for continued cell cycle progression and proliferation. In budding yeast, the PP4 phosphatase has been shown to play a key role in preventing hyperactivation of the checkpoint kinase Rad53. In addition, we recently uncovered a phosphatase-independent mechanism for downregulating Rad53 in which the DNA repair scaffold Slx4 decreases engagement of the checkpoint adaptor Rad9 at DNA lesions. Here we reveal that proper termination of checkpoint signaling following the bypass of replication blocks imposed by alkylated DNA adducts requires the concerted action of these two fundamentally distinct mechanisms of checkpoint downregulation. Cells lacking both SLX4 and the PP4-subunit PPH3 display a synergistic increase in Rad53 signaling and are exquisitely sensitive to the DNA alkylating agent methyl methanesulfonate, which induces replication blocks and extensive formation of chromosomal linkages due to template switching mechanisms required for fork bypass. Rad53 hypersignaling in these cells seems to converge to a strong repression of Mus81-Mms4, the endonuclease complex responsible for resolving chromosomal linkages, thus explaining the selective sensitivity of slx4Δ pph3Δ cells to alkylation damage. Our results support a model in which Slx4 acts locally to downregulate Rad53 activation following fork bypass, while PP4 acts on pools of active Rad53 that have diffused from the site of lesions. We propose that the proper spatial coordination of the Slx4 scaffold and PP4 action is crucial to allow timely activation of Mus81-Mms4 and, therefore, proper chromosome segregation.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".