Heteroallelic combination of anillin mutants reveals cytoskeletal uncoupling during cytokinesis.
Bibliographic record
Abstract
Cytokinetic contractile rings close, disassemble and transition to midbody rings through poorly understood mechanisms. We previously showed that this transition in Drosophila S2 cells requires both Citron kinase (Sticky) and septins, acting on the N- and C-terminus, respectively, of the scaffold protein, Anillin. To better understand the coordination of these proteins, we performed deplete-and-rescue experiments using Anillin mutants defective in Sticky interaction or septin recruitment. Expressing each mutant individually as two copies tagged with GFP and mCherry revealed comparable behaviors of the tags and characteristic cytokinesis failure phenotypes. However, trans-heterozygous combination of both Anillin mutants rescued the cytokinesis defects, with both mutants clearly exhibiting different localization patterns. Thus, the essential N- and C-terminus-mediated roles of Anillin can be satisfied by different molecules of Anillin that cannot bind to Sticky and to septins simultaneously. We conclude that Anillin organizes distinct cytoskeletal elements that are uncoupled from one another and that their physical separation drives the transition from contractile ring to midbody ring.
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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 | 0.001 |
| 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".