Bibliographic record
Abstract
__Abstract__ \n \nIn this thesis, author systematically studied two testis-specific protein kinases \nTSSK1 and TSSK2 in mouse spermiogenesis. By building a double knockout \nmouse model with the absence of Tssk1 and Tssk2 genes, it was demonstrated \nthat TSSK1 and TSSK2 are essential for male fertility in mouse, and the homozygous \nmale mutants missing these two kinases are infertile. In addition, TSSK1 and \nTSSK2, together with their common substrate, TSKS, are involved into the \nchromatoid body (CB) transformation during spermatid elongation. By co-IP and \nfollowing proteomics analyses, it was shown that TSSK1, TSSK2, and TSKS can form a stable protein complex, named as TSSK1/2-TSKS complex, which is \ninvolved into RNA regulation, protein phorsphorylation and cytoskeleton regulation. \nFurther evolutionary studies displayed that TSSK1 and TSSK2 gained diverse \nfunctions during evolution, although Tssk1 and Tssk2 are a pair of duplicated \ngenes, and TSSK1 and TSSK2 are highly homologous. Because of the \ntestis-specificty, late expression, and the indispensability to male fertility, TSSK1 \nand TSSK2 are potential drug targets for non-hormonal contraceptives
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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".