A role for the «Saccharomyces cerevisiae» kinetochore protein Ame1 in cell cycle control and MT-kinetochore attachment
Bibliographic record
Abstract
High fidelity chromosome segregation in all cells requires the formation of bi-oriented attachments between spindle microtubules (MT) and chromosomes. The kinetochore provides a bridge between the MTs and chromosomes. Ame1 is an essential but undercharacterized component of the central kinetochore COMA sub-complex (Ctf19, Okp1, Mcm21, Ame1). In order to characterize Ame1, I used two conditional alleles of the COMA, ame1-4 and okp1-5. I examined the role of Ame1 in the context of the kinetochore and in the maintenance of the spindle assembly checkpoint (SAC) and the formation and repair of kinetochore-MT attachments. I found that ame1-4 cells have a compromised COMA. In contrast, the COMA is disrupted in okp1-5 cells, but Ame1 remains localized to the kinetochore. Nonetheless, the stability of DNA binding and MT binding kinetochore complexes remains intact in ame1-4 and okp1-5 cells. I used the difference between okp1-5 and ame1-4 to further delineate the relationship between Ame1 and the COMA. ame1-4 cells exhibit defective sister chromatid attachments that are not repaired, and are unable to maintain a checkpoint arrest. We find that disruption of the COMA results in a failure to maintain the localization of Sli15 to the kinetochore. In turn, Sli15 functions in checkpoint maintenance and spindle passenger protein migration. Indicative of the loss of passenger protein migration, ame1-4 cells exhibit a cytokinesis defect. Finally, over-expression of OKP1 in ame1-4 cells restores localization of ame1-4p and re-establishes checkpoint maintenance but does not restore Sli15 kinetochore localization. A synthetic genetic screen (SGA) was carried out to identify genetic interactors of the ame1-4 allele. Thirty-three (33) genes were found to interact with ame1-4 to produce a synthetic sick/lethal phenotype. Many genes identified were common interactors with other kinetochore subunits. Comparing the genetic interaction network of the COMA genes, ame1-4 shared many interac
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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 | 0.001 | 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".