Effect of Heat Stress on Expression of Junction-Associated Molecules and Upstream Factors Androgen Receptor and Wilms’ Tumor 1 in Monkey Sertoli Cells
Bibliographic record
Abstract
Sertoli cells are important in determining the fate of spermatogenic cells by providing nutrition and structural support via cell junctions. In this study, we sought to examine the effect of 43 C warming on cell junctions in seminiferous epithelium and the expression of junction-associated molecules in Sertoli cells. Electron microscopy showed the appearance of large vacuoles between Sertoli and germ cells and adjacent Sertoli cells, leading to disruption of corresponding cell junctions 24 h after terminating the heat treatment. Using primary Sertoli cells isolated from pubertal monkey testes, we demonstrated that expression of adherens junction-associated molecules, such as N-cadherin and beta-catenin, and tight junction-associated molecule zonula occludens protein 1 was significantly reduced in 24-48 h after heat treatment. In contrast, intermediate filament vimentin expression was up-regulated in 6-48 h. Androgen receptor (AR) and Wilms' tumor gene 1 expression dramatically decreased after heat treatment. Both proteins completely disappeared immediately after terminating heat treatment and began to recover after 6 h. Treatment of the monkey Sertoli cells with an AR antagonist, flutamide, could mimic the heat-induced changes in the expression of junction-associated molecules in Sertoli cells. Furthermore, overexpression of AR in the Sertoli cells up-regulated the expression of N-cadherin, beta-catenin, and zonula occludens protein 1 and down-regulated vimentin expression. Their expression after heat treatment could be rescued by the AR overexpression. These results indicate that the decreased AR expression after heat treatment is involved in heat-induced cell junction disruption.
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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) | 0.001 | 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".