<i>In situ</i> and <i>in vitro</i> immunolocalization of oviductin, an oviduct‐specific glycoprotein, in the hamster uterine epithelial cells
Bibliographic record
Abstract
Oviductin is a high‐molecular‐weight oviduct‐specific glycoprotein which plays an important role in capacitation, sperm‐egg binding and early embryo development. This study was undertaken to investigate the presence of oviductin‐binding sites in the uterine epithelial cells both in vivo and in vitro . Immunohistochemical localization of oviductin in the hamster uterus revealed that certain uterine cells are reactive to the MAb against hamster oviductin. Subsequent immunocytochemical results showed the association of immunolabeling specifically with the microvilli of a certain population of uterine cells. Confocal microscopy of isolated uterine cells previously exposed to purified oviductin followed by labeling with the anti‐oviductin MAb and Alexa Fluor 555 goat anti‐mouse IgG showed a similar labeling pattern. The epithelial nature of the cultured cells was confirmed by colocalization of cytokeratin and oviductin in the same cells. Pre‐embedding immunolabeling of cultured uterine cells also showed gold particles associated with the plasma membrane and microvilli. Taken together, results in the present study demonstrate that hamster oviductin can bind to the plasma membrane of certain hamster uterine epithelial cells. This suggests the presence of a putative oviductin receptor on the uterine epithelial cell surface, which may play a role in regulating uterine receptivity. (Supported by CIHR)
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".