Prolonged metaphase II arrest weakens Aurora B/C- dependent error correction in mouse oocytes
Bibliographic record
Abstract
SUMMARY Chromosome segregation during meiosis is highly error-prone in mammalian oocytes. The mechanisms controlling chromosome attachments and the Spindle Assembly Checkpoint (SAC) have been extensively studied in meiosis I, but our knowledge of these mechanisms during meiosis II is rather limited. Although mammalian oocytes arrest in metaphase II for an extended period awaiting fertilization, some misattached chromosomes may persist. This suggests that the mechanism correcting misattachments is not fully functional during the arrest. In this study, we investigated whether low inter-kinetochore tension, which characterizes incorrect attachments, can be detected by Aurora B/C-dependent error correction in meiosis II. We found that low tension in early metaphase II does indeed mediate microtubule detachment by Aurora B/C and consequently, anaphase II delay through SAC activation. Surprisingly, we also found that during prolonged metaphase II arrest, Aurora B/C activity is no longer sufficient to detach low-tension attachments, concomitantly with high accumulation of PP2A at kinetochores. As a result, the SAC is not activated and sister chromatids segregate in anaphase II without delay even in the presence of low tension. Hence, during the prolonged metaphase II arrest to await fertilization, oocytes become unable to discriminate between correct and incorrect attachments and may allow errors to persist.
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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".