Differential Functions of the Aurora-B and Aurora-C Kinases in Mammalian Spermatogenesis
Bibliographic record
Abstract
The Aurora kinases are cell cycle-regulatory serine-threonine kinases that have been implicated in the function of the centrosomes, kinetechores, chromosome dynamics, and cytokinesis. In comparison with other tissues, there are high levels of expression of Aurora-B and -C in testis. What their respective roles in mammalian spermatogenesis are is an open question. Here we describe the expression and distribution patterns of the three kinases in mouse testis using in situ hybridization and immunohistochemistry. Importantly, the localization of Aurora-B is tightly regulated during spermatogenesis, whereas Aurora-C expression appears to be testis specific. To address the function of Aurora-B in spermatogenesis, we have generated transgenic mice using a pachytene-stage-specific promoter driving the expression of either wild-type Aurora-B or an inactive form of the kinase. Expression of the inactive Aurora-B results in abnormal spermatocytes, increased apoptosis, spermatogenic arrest, and subfertility defects. The function of Aurora-C may also be targeted in the Aurora-B transgenic mutants. To address the function of Aurora-C in testis, we generated Aurora-C knockout mice by homologous recombination. Remarkably, Aurora-C null mice were viable, yet the males had compromised fertility. Aurora-C mutant sperm display abnormalities that included heterogenous chromatin condensation, loose acrosomes, and blunted heads. These findings indicate that Aurora-B and Aurora-C serve specialized functions in mammalian spermatogenesis.
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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 | 0.001 | 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".