Ulp1 association with nuclear pore complexes is required for the maintenance of global SUMOylation
Bibliographic record
Abstract
, are primarily driven by the PIAS SUMO E3 ligases Siz1 and Siz2 and the SUMO isopeptidase Ulp1. Subcellular localization of these regulators determines where and when protein SUMOylation occurs. Ulp1 localizes at the nuclear basket of nuclear pore complexes (NPC), placing it at the interface of the nuclear periphery and the nucleoplasm; locales where most cellular SUMO-dependent processes occur. In cells lacking the nuclear basket component Nup60, we find that Ulp1/NPC association becomes temperature-dependent, and Ulp1/NPC dissociation at higher temperatures leads to Ulp1 proteasomal degradation. Ulp1 dissociation from NPC nuclear baskets also induces a signal that triggers Siz1 and Siz2 proteasomal degradation in a manner-dependent upon SUMOylation, SUMO chain assembly, and Ubc4-dependent ubiquitination. Ultimately, Siz protein degradation decreases cellular SUMOylation, and this reduction appears to promote cell viability under conditions where the association of Ulp1 with NPC nuclear baskets is perturbed. These observations suggest that SUMO homeostasis functions to regulate SUMO conjugate levels in direct proportion to Ulp1 levels at NPC nuclear baskets by modulating stability of the PIAS SUMO E3 ligases.
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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 | 0.001 | 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".