The Imitation Switch ATPase Snf2l Is Required for Superovulation and Regulates Fgl2 in Differentiating Mouse Granulosa Cells
Bibliographic record
Abstract
Imitation switch (ISWI) proteins are catalytic subunits of chromatin remodeling complexes that alter nucleosome positioning by hydrolyzing ATP to regulate access to DNA. In mice, there are two paralogs, SNF2-homolog (SNF2H) and SNF2-like (SNF2L), which participate in different complexes and have contrasting patterns of expression. Here we investigate the role of SNF2L in ovaries by characterizing a mouse bearing an inactivating deletion of exon 6 that disrupts the ATPase domain. Snf2l mutant mice produce significantly fewer eggs than control mice when superovulated. Gonadotropin stimulation leads to a significant deficit in secondary follicles and an increase in abnormal antral follicles. Mutant females also failed to induce fibrinogen-like 2 (Fgl2) in response to human chorionic gonadotropin (hCG) stimulation, while overexpression of SNF2L was sufficient to drive its expression in granulosa cells. SNF2L was also shown to directly interact with the nuclear receptor co-activator flightless I (FLI-I) as shown by immunoprecipitation. These results begin to establish a role for SNF2L in the precise coordination of gene expression in granulosa cells during folliculogenesis and its broader implications in fertility.
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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 | 0.001 |
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".