Vertebrate Nup53 Interacts with the Nuclear Lamina and Is Required for the Assembly of a Nup93-containing Complex
Bibliographic record
Abstract
The nuclear pore complex (NPC) is an evolutionarily conserved structure that mediates exchange of macromolecules across the nuclear envelope (NE). It is comprised of approximately 30 proteins termed nucleoporins that are each present in multiple copies. We have investigated the function of the human nucleoporin Nup53, the ortholog of Saccharomyces cerevisiae Nup53p. Both cell fractionation and in vitro binding data suggest that Nup53 is tightly associated with the NE membrane and the lamina where it interacts with lamin B. We have also shown that Nup53 is capable of physically interacting with a group of nucleoporins including Nup93, Nup155, and Nup205. Consistent with this observation, depletion of Nup53 using small interfering RNAs causes a decrease in the cellular levels of these nucleoporins as well as the spindle checkpoint protein Mad1, likely due to destabilization of Nup53-containing complexes. The cellular depletion of this group of nucleoporins, induced by depleting either Nup53 or Nup93, severely alters nuclear morphology producing phenotypes similar to that previously observed in cells depleted of lamin A and Mad1. On basis of these data, we propose a model in which Nup53 is positioned near the pore membrane and the lamina where it anchors an NPC subcomplex containing Nup93, Nup155, and Nup205.
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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) | 0.001 | 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".