Developmental Expression of Src-Related Tyrosine Kinases in the Mouse Testis
Bibliographic record
Abstract
An increase in protein tyrosine phosphorylation occurs during sperm capacitation in numerous species. The involvement of Src-related tyrosine kinases in this phenomenon has been demonstrated using different inhibitors specifically targeting this family of enzymes. In mammals, this group of nonreceptor tyrosine kinases is made up of 8 members with similar SRC homology domain 3 (SH3) and SH2 domains. Although some members of this group of enzymes can compensate for one another, showing some redundancy, each is unique and may perform specific functions during male germ cell development. To further characterize the importance of Src-related tyrosine kinases in the events leading to proper sperm formation, and because no inhibitor affecting a single gene product exists, expression of Src, Yes1, Fyn, Lyn, Lck, Hck, Blk, and Fgr was assessed by real-time polymerase chain reaction in developing mouse testes and in enriched populations of mouse spermatogenic cells, revealing distinct expression profiles for each kinase during testis development and in isolated male germ cells. Immunolocalization of SRC, LYN, and HCK in adult mouse testes as well as in mature spermatozoa further confirmed differential localization of these kinases during spermatogenesis. Although mRNA levels of these latter kinases were higher in spermatogonia and spermatocytes than in spermatids, protein levels were highest in spermatids, suggesting delayed transcript translation. Taken together, these results clearly show an uneven expression of each kinase in different spermatogenic cells, indicating that each member may play a different role during spermatogenesis, in addition to highlighting the complexity of Src-related kinase expression regulation in male germ cells. Furthermore, differential localization of these tyrosine kinases in mature spermatozoa also suggests a specific role for each member in sperm function and integrity.
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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) | 0.002 | 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".