Microtubules and actin crosstalk in cell migration and division
Bibliographic record
Abstract
Crosstalk between the actin cytoskeleton and microtubules promotes symmetry break to polarize cells for division, shape changes, and migration. These cellular events are crucial for forming tissues, and drive the metastasis of cancer cells. Rho GTPases mediate the formation of different types of F-actin that confer changes in cortical tension and contraction, and can be regulated by microtubules. For example, central spindle microtubules of the mitotic spindle stimulate RhoA activity to form long, unbranched F-actin that is crosslinked by nonmuscle myosin to form the contractile ring in the equatorial plane of the cell. There is greater cortical tension in this area of the cell in comparison to the poles, where the formation of short, branched F-actin is favored. In migrating cells, growing microtubules that reach into the leading edge promote Rac activation and the formation of short, branched F-actin for lamellipodia formation. A common theme that is emerging in many fields is that feedback can also occur from the cortex to alter microtubule stability. In this manner, cells can dynamically respond to intrinsic or extrinsic cues to ensure that their division plane is always coupled with the segregation of DNA and cell fate determinants, or that they migrate properly to form a tissue.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".