Importin β-depending Nuclear Import Pathways: Role of the Adapter Proteins in the Docking and Releasing Steps
Bibliographic record
Abstract
Nuclear imports of uridine-rich small nuclear ribonucleoprotein (U1 snRNP) and proteins with classical nuclear localization signal (cNLS-protein) are mediated by importin beta. However, due to the presence of different import signals, the adapter protein of the imported molecules and importin beta is different for each pathway. Although the adapter for cNLS-protein is importin alpha, the adapter for U1 snRNP is snurportin1 (SPN1). Herein, we show that the use of distinct adapters by importin beta results in differences at the docking and releasing step for these two import pathways. Nuclear pore complex (NPC) docking of U1 snRNP but not of cNLS-protein was inhibited by an anti-CAN/Nup214 antibody. Thus, the initial NPC-binding site is different for each pathway. Pull-down assays between immobilized SPN1 and two truncated forms of importin beta documented that SPN1 and importin alpha have different binding sites on importin beta. Importin beta fragment 1-618, which binds to SPN1 but not to importin alpha, was able to support the nuclear import of U1 snRNPs. After the translocation through the NPC, both import complexes associated with the nuclear side of the NPC. However, we found that the nature of the importin beta-binding domain of the adapters influences the release of the cargo into the nucleoplasm.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".