Occurrence and formation of cytoskeletal proteins in mammalian spermatozoa
Bibliographic record
Abstract
Mammalian spermatozoa are composed of specialized cytoskeletal elements, which appear to have no structural or protein counterparts in somatic cells. Most evident are the outer dense fibres (ODF) and fibrous sheath (FS) of the sperm tail and the perinuclear theca (PT) of the sperm head. The purpose of this study is to review our results on the occurrence and assembly of proteins making up these three elements during spermatogenesis. Our approach was to raise antibodies against the prominent proteins of these elements and to immunolocalize them on testicular sections prepared for histological and ultrastructural analyses. We found that all of the cytoskeletal proteins considered were expressed exclusively during the haploid phase of development and that the proteins of each element had similar if not identical patterns of expression. The PT proteins were synthesized in the first half of spermiogenesis and were associated with acrosome formation, while the ODF and FS proteins were synthesized in the second half of spermiogenesis. The ODF proteins assembled in a proximal-distal direction along the length of the axoneme, while the FS proteins assembled in the opposite direction; both assemblies eventually meeting and overlapping within the periaxonemal cytoplasmic compartment. During assembly the ODF proteins appeared to be temporarily stored in granulated bodies of the cytoplasmic lobe, while the FS proteins were randomly distributed throughout the cytoplasm. In the case of the PT, there appeared to be an interdependence between PT assembly and acrosome formation. The developmental protein distribution patterns observed for each of the elements suggest unique cellular targeting mechanisms adapted by the spermatid to regulate the assemblies of the respective cytoskeletal proteins.
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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 | 0.001 |
| 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) | 0.000 | 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".