Involvement of Classical Bipartite/Karyopherin Nuclear Import Pathway Components in Acrosomal Trafficking and Assembly During Bovine and Murid Spermiogenesis1
Bibliographic record
Abstract
This study arose from our finding that SubH2Bv, a histone H2B variant residing in the subacrosomal compartment of mammalian spermatozoa, contains a bipartite nuclear localization signal (bNLS) but in spite of this did not enter the spermatid nucleus. Instead, it associated with proacrosomic and acrosomic vesicles, which were targeted to the nuclear surface to form the acrosome. On this basis we proposed that SubH2Bv targets proacrosomic/acrosomic vesicles from the Golgi apparatus to the nuclear envelope by utilizing the classical bipartite/karyopherin alpha (KPNA) nuclear import pathway. To test the protein's nuclear targeting ability, SubH2Bv, with and without targeted mutations of the basic residues of bNLS, as well as bNLS alone, were transfected into mammalian cells as GFP-fusion proteins. Only the intact bNLS conferred nuclear entry. Subsequently, we showed that a KPNA, most likely KPNA6, occupies the same sperm head compartment and follows the same pattern of acrosomal association during spermiogenesis as SubH2Bv. Sperm head fractionation combined with Western blotting located this KPNA to the subacrosomal layer of the perinuclear theca, while immunocytochemistry of testicular sections showed that it associates with the surface of proacrosomic/acrosomic vesicles during acrosomal biogenesis. The identical sperm-localization and testicular-expression patterns between KPNA and SubH2Bv suggested a potential binding interaction between these proteins. This was supported by recombinant SubH2Bv affinity pull-down assays on germ cell extracts. The results of this study provide a compelling argument that these two nuclear homing proteins work in concert to direct the acrosomic vesicle to the nucleus. Their final residence in the subacrosomal layer of the perinuclear theca of spermatozoa indicates a role for SubH2Bv and KPNA in acrosomal-nuclear docking.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".