Nup53p is a Target of Two Mitotic Kinases, Cdk1p and Hrr25p
Bibliographic record
Abstract
Nuclear pore complexes (NPCs) form channels across the nuclear envelope and provide the sole sites of molecular exchange between the cytoplasm and nucleoplasm. The NPC is a target of a number of post-translational modifications, including phosphorylation, yet the functions of these modifications are ill defined. Here, we have investigated the mitotic specific phosphorylation of a yeast nucleoporin Nup53p. Two kinases were identified that phosphorylate Nup53p: the mitotic kinase Cdk1p/Cdc2p/Cdc28p and the casein kinase Hrr25p. Hrr25p was identified by screening 119 yeast kinases for their ability to phosphorylate Nup53p in vitro. Conditional alleles of Hrr25p support the conclusion that Hrr25p phosphorylates Nup53p in vivo. We further demonstrated using solution binding and affinity purification assays, that Hrr25p directly binds Nup53p in an interaction that is destabilized by the phosphorylation of Nup53p. Consistent with this observation, we observed that Hrr25p moves between distinct locations in the cell during the cell cycle including the nucleus, the cortex of the emerging bud and the spindle pole bodies. Cdk1p also contributes to Nup53p phosphorylation as specific inhibition of Cdk1p or mutation of Cdk1p consensus sites partially blocked its phosphorylation. The ability of nup53 alleles containing Cdk1p site mutations to complement synthetic defects of nup53 Delta nup170 Delta strains is linked to a function for Nup53p in the spindle assembly checkpoint.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".