Polar development of preprophase bands and cell plates in the Arabidopsis leaf epidermis
Bibliographic record
Abstract
Preprophase bands are belts of cortical microtubules that appear at the end of interphase and predict where cell plates will fuse with parental walls during division. Phragmoplasts are microtubule-rich arrays that orchestrate the growth and guidance of cell plates during cytokinesis. Descriptions of the development of these arrays often assume non-polar formation, with preprophase bands developing more or less simultaneously around the cell circumference. Phragmoplasts are often described as initiating at the cell center and then expanding evenly outwards until fusion with parent cell walls. We analyzed the spatio-temporal development of both arrays because initial observations of array growth in the Arabidopsis leaf epidermis revealed directional variability. Almost all preprophase bands formed in a polar fashion, with initiation and maturation occurring first in the cell cortex near the inside of the leaf, and later in the outer cell cortex. A similar polarity developed in phragmoplasts and cell plates, raising the possibility that polarized division is common in plants. Together, these findings identify additional polar features of the epidermis, and thereby provide a visually accessible system for identifying new proteins and subcellular components involved in the development of cell division and the previously formed division site.
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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 | 0.000 | 0.000 |
| 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".