Immunolocalization of BRG1–SWI/SNF protein during folliculogenesis in the porcine ovary
Bibliographic record
Abstract
Dynamic changes in chromatin structure and gene expression occur during follicular and oocyte growth. Epigenetic mechanisms regulate these changes through biochemical reactions that modify the nucleosome structure, and consequently affect transcription. Chromatin remodellers that alter DNA-histone interactions can influence transcriptional activity by facilitating or repressing DNA access. The SWItch/Sucrose NonFermentable (SWI/SNF) complex represents an important chromatin remodelling family, which comprises many protein subunits including the BRG1 (brahma-related gene 1). Our aim in this study was to analyse BRG1 expression patterns in different stages of follicular development. Ovaries (n = 10) were collected from prepubertal gilts and then rinsed in phosphate-buffered saline (PBS). Ovarian fragments of 8 × 8 × 8 mm were cut and placed into a 4% paraformaldehyde solution. For immunofluorescence analysis, samples were incubated with primary antibodies: polyclonal rabbit anti-BRG1 (1/200) or control rabbit IgG at the same concentration, overnight at 4°C. Primary antibodies were detected using Alexa Fluor 594-anti-rabbit 1/1000 diluted secondary antibody. Cells were counterstained with 4',6-diamidino-2-phenylindole (DAPI). Positive fluorescence signal for BRG1 was detected in all analysed samples. In primary follicles, the protein was detected only in the oocyte nucleus. However, in growing follicles, BRG1 was identified in granulosa and theca cells in a well defined pattern, according to the proximity of the cells from the oocyte. These results suggest an important role for BRG1 in the regulation of follicular growth, probably modulating granulosa and theca cell proliferation, as well as oocyte growth and maturation.
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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 | 0.001 | 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 | 0.001 |
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".