Internal organisation of the nucleus: assembly of compartments by macromolecular crowding and the nuclear matrix model
Bibliographic record
Abstract
Many and possibly all macromolecules in the nucleus are segregated into discrete compartments, but the current model that this is achieved by a fibrillar nuclear matrix which structures the nuclear interior and compartments is not consistent with all experimental observations, as reviewed here. New results are presented which suggest that macromolecular crowding forces play a crucial role in the assembly of at least two compartments, nucleoli and PML bodies, and an in vitro system in which crowding assembles macromolecular complexes into structures which resemble nuclear compartments is described. Crowding forces, which are strong in the nucleus due to the high macromolecule concentration (in the range of 100 mg/ml), vastly increase the association constants of intermolecular interactions and can segregate different macromolecules into discrete phases. The model that they play a role in compartmentalisation of the nucleus is generally consistent with the properties of compartments, including their spherical or quasispherical form and their dynamic and mobile nature.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".