Nuclear Pore Complex Is Able to Transport Macromolecules with Diameters of ∼39 nm
Bibliographic record
Abstract
Bidirectional transport of macromolecules between the nucleus and the cytoplasm occurs through the nuclear pore complexes (NPCs) by a signal-mediated mechanism that is directed by targeting signals (NLSs) residing on the transported molecules or "cargoes." Nuclear transport starts after interaction of the targeting signal with soluble cellular receptors. After the formation of the cargo-receptor complex in the cytosol, this complex crosses the NPC. Herein, we use gold particles of various sizes coated with cargo-receptor complexes to determine precisely how large macromolecules crossing the NPC by the signal-mediated transport mechanism could be. We found that cargo-receptor-gold complexes with diameter close to 39 nm could be translocated by the NPC. This implies that macromolecules much larger than the assumed functional NPC diameter of 26 nm can be transported into the karyoplasm. The physiological relevance of this finding was supported by the observation that intact nucleocapsids of human hepatitis B virus with diameters of 32 and 36 nm are able to cross the nuclear pore without disassembly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".