Control At The Cell Center: The Role Of Spindle Poles In Cytoskeletal Organization And Cell Cycle Regulation
Bibliographic record
Abstract
Microtubule organizing centres (MTOCs), which include fungal spindle pole bodies and centrosome in higher eukaryotes, are a structurally diverse group of organelles that share a conserved role in microtubule nucleation and spindle formation. However, recent studies propose that the function of MTOC components extends far beyond these established roles. Numerous cell cycle regulators, checkpoint proteins and microtubule plus tip binding proteins localize to MTOCs during the cell cycle, suggesting that these organelles serve as cellular scaffolds. In addition, several MTOC components such as gamma-tubulin and its associating proteins have been directly implicated in the control of cell cycle progression, activation of checkpoint responses and the regulation of microtubule organization and dynamics. Collectively, these findings implicate MTOCs as cellular control centers that coordinate events at both microtubule minus ends and plus ends with the cell cycle. In this review, we discuss recent studies that support a role for MTOC components, in particular gamma-tubulin, in cell cycle progression, checkpoint response and the coordination of microtubule organization and dynamics.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".