Phosphorylation of the DNA repair scaffold SLX4 drives folding of the SAP domain and activation of the MUS81-EME1 endonuclease
Bibliographic record
Abstract
The DNA repair scaffold SLX4 has multifaceted roles in genome stability, many of which depend on structure-selective endonucleases. SLX4 coordinates the cell cycle-regulated assembly of SLX1, MUS81-EME1, and XPF-ERCC1 into a tri-nuclease complex called SMX. Mechanistically, how the mitotic kinase CDK1 regulates the interaction between SLX4 and MUS81-EME1 remains unclear. Here, we show that CDK1-cyclin B phosphorylates SLX4 residues T1544, T1561, and T1571 in the MUS81-binding region (SLX4 MBR ). Phosphorylated SLX4 MBR relaxes the substrate specificity of MUS81-EME1 and stimulates cleavage of replication and recombination structures, providing a biochemical explanation for the chromosome pulverization that occurs when SLX4 binds MUS81 in S-phase. Remarkably, phosphorylation of SLX4 MBR drives folding of an SAP domain, which underpins the high-affinity interaction with MUS81. We also report the structure of phosphorylated SLX4 MBR and identify the MUS81-binding interface. Our work provides mechanistic insights into how cell cycle-regulated phosphorylation of SLX4 drives the recruitment and activation of MUS81-EME1.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".