Expression of heat shock factor 1, heat shock protein 90 and associated signaling proteins in pregnant rat myometrium: Implications for myometrial proliferation
Bibliographic record
Abstract
During pregnancy and labour the myometrium undergoes structural and physiological adaptations as part of a program of development. Heat shock factor 1 (HSF1) is a master regulator of both stress and developmental processes. A noted HSF1-induced gene is the 90 kDa heat shock protein (HSP90), which acts as a chaperone and regulator of cellular processes. Immunoblot analysis demonstrated HSF1 expression levels in pregnant rat myometrium on gestational day (d) 6 were maintained at a significantly higher level compared with d12 to post-partum (PP) time points (P < 0.05), while expression on d12 was significantly higher compared to d15 and d19. The transcriptionally active form pSer230-HSF1 was detected at a significantly greater level at d6 compared with d21 and d23 time points and also at d12 compared with d21, d22 and 23 (labour). Similarly, phosphorylated (P)-HSP90AA1 protein detection was significantly greater on d6 compared to d19 to d23 time points and on d12 compared with d15 to PP time points. In contrast, P-HSP90AB1 showed significantly greater detection levels on d12 compared with d15 while levels on d22 were significantly higher compared to d15, d17 and d19. Immunofluorescence analysis demonstrated that total HSF1 and HSP90 were localized mainly in the cytoplasm of myometrial cells with some detection of HSF1 in nuclei. This work advances our scientific knowledge of the myometrium during pregnancy and the expression profiles of HSF1 and HSP90 within the proliferative phase of myometrial programming suggests a role for them in this period of hyperplasia and myometrial adaptation.
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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".