Bibliographic record
Abstract
Gap junctions are collections of intercellular membrane channels that allow adjacent cells to share small molecules (< 1 kDa). Gap junction channels are composed of connexins, a homologous family of more than 20 proteins. In developing follicles, gap junctions couple the growing oocyte and its surrounding follicle cells into a functional syncytium. This review summarizes evidence on the expression of various connexins in developing follicles and the likely roles that some of the connexins play, on the basis of findings from gene targeting experiments in mice. Gap junctions between cumulus cells contain predominantly connexin43, and this connexin has also been detected using immunoelectron microscopy in a small minority of gap junctions at the oocyte surface. The importance of connexin43 for granulosa cell function is demonstrated by the fact that follicles lacking this connexin arrest in early preantral stages and produce incompetent oocytes. Connexin37 appears to be the only connexin contributed by oocytes to the gap junctions coupling them with granulosa cells, and loss of this connexin interferes with the development of antral follicles. The expression of multiple connexins in developing follicles is thus likely to reflect the multiple functions served by gap junctional communication in folliculogenesis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".