Spindle Checkpoint Maintenance Requires Ame1 and Okp1
Bibliographic record
Abstract
Kinetochore proteins are required for high fidelity chromosome segregation and as a platform for checkpoint signaling. Ame1 is an essential component of the COMA (Ctf19, Okp1, Mcm21, Ame1) sub-complex of the central kinetochore of budding yeast. In this study, we describe the isolation and characterization of an Ame1 conditional mutant, ame1-4. ame1-4 cells exhibit chromosome segregation defects and Mad2-dependent cell cycle delay similar to okp1-5 cells. However, the viability of ame1-4 cells is markedly reduced relative to wild type and okp1-5 cells after three hours at restrictive temperature. To determine if ame1-4 cells enter anaphase with mis-segregated chromosomes, we monitored the localization of Bub3:VFP as a marker for anaphase onset. ame1-4 cells containing mis-segregated sister chromatids initially accumulate Bub3:VFP at kinetochores, indicating checkpoint activation and a metaphase arrest. Subsequently, Bub3:VFP de-localizes and cells reinitiate DNA duplication and budding without cytokinesis in the presence of un-segregated chromosomes. Overexpression of OKP1 in ame1-4 cells restores ame1-4 protein localization and a stable arrest. Based on our results, we propose that Ame1 and Okp1 are required for a sustained checkpoint arrest in the presence of mis-segregated chromosomes. Our results suggest that checkpoint response might be controlled not only at the level of activation but also via signals that ensure maintenance of the response.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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".