Keratinocyte growth factor and its receptor in human ovaries from fetuses, girls and women
Bibliographic record
Abstract
Keratinocyte growth factor (KGF) promotes growth of rat pre-antral follicles. There is limited information regarding its presence or that of its unique receptor (KGFR) in human ovaries, specifically in pre-antral follicles. The aim of the study was to investigate the expression of KGF and KGFR in ovarian samples from human fetuses and girls/women. The samples were prepared for immunohistochemical study of the KGF protein and for in situ hybridization to localize mRNA transcripts of KGFR. Total RNA was extracted from frozen ovarian samples, and the expression of KGF mRNA transcripts was investigated by reverse transcriptase polymerase chain reaction. In both fetuses and girls/women, the protein for KGF was detected from primordial stages in oocytes, granulosa cells (GCs) and stroma cells. Its mRNA transcripts were also detected in all extracts. The mRNA transcripts for KGFR were detected mainly in stroma cells in ovarian samples from both sources; in 10% of the samples, follicular staining was noted also in oocytes and GCs. Further studies adding KGF to the culture medium are needed to elucidate its putative role in human primordial follicle activation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".