Essential Role of Nuclear Localization for Yeast Ulp2 SUMO Protease Function
Bibliographic record
Abstract
The SUMO protein is covalently attached to many different substrates throughout the cell. This modification is rapidly reversed by SUMO proteases. The Saccharomyces cerevisiae SUMO protease Ulp2 is a nuclear protein required for chromosome stability and cell cycle restart after checkpoint arrest. Ulp2 is related to the human SENP6 protease, also a nuclear protein. All members of the Ulp2/SENP6 family of SUMO proteases have large but poorly conserved N-terminal domains (NTDs) adjacent to the catalytic domain. Ulp2 also has a long C-terminal domain (CTD). We show that CTD deletion has modest effects on yeast growth, but poly-SUMO conjugates accumulate. In contrast, the NTD is essential for Ulp2 function and is required for nuclear targeting. Two short, widely separated sequences within the NTD confer nuclear localization. Efficient Ulp2 import into the nucleus requires the beta-importin Kap95, which functions on classical nuclear-localization signal (NLS)-bearing substrates. Remarkably, replacement of the entire >400-residue NTD by a heterologous NLS results in near-normal Ulp2 function. These data demonstrate that nuclear localization of Ulp2 is crucial in vivo, yet only small segments of the NTD provide the key functional elements, explaining the minimal sequence conservation of the NTDs in the Ulp2/SENP6 family of enzymes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".