The Canonical WNT2 Pathway and FSH Interact to Regulate Gap Junction Assembly in Mouse Granulosa Cells1
Bibliographic record
Abstract
WNTs are extracellular signaling molecules that exert their actions through receptors of the frizzled (FZD) family. Previous work indicated that WNT2 regulates cell proliferation in mouse granulosa cells acting through CTNNB1 (beta-catenin), a key component in canonical WNT signaling. In other cells, WNT signaling has been shown to regulate expression of connexin43 (CX43), a gap junction protein, as well as gap junction assembly. Since previous work demonstrated that CX43 is also essential in ovarian follicle development, the objective of this study was to determine if WNT2 regulates CX43 expression and/or gap-junctional intercellular communication (GJIC) in granulosa cells. WNT2 knockdown via siRNA markedly reduced CX43 expression and GJIC. CX43 expression, the extent of CX43-containing gap junction membrane, and GJIC were also reduced by CTNNB1 transient knockdown. CTNNB1 is mainly localized to the membranes between granulosa cells but disappeared from this location after WNT2 knockdown. Furthermore, CTNNB1 knockdown interfered with the ability of follicle-stimulating hormone (FSH) to promote the mobilization of CX43 into gap junctions. We propose that the WNT2/CTNNB1 pathway regulates CX43 expression and GJIC in granulosa cells by modulating CTNNB1 stability and localization in adherens junctions, and that this is essential for FSH stimulation of GJIC.
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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".