Disruption of oocyte SUMOylation impacts critical regulatory processes during folliculogenesis in mice
Bibliographic record
Abstract
The conjugation of small ubiquitin-like modifiers (SUMO) to target proteins, known as SUMOylation, plays a crucial role in regulating protein homeostasis, activity, interaction with other proteins, and subcellular localization. Loss of SUMOylation in nongrowing oocytes by conditional deletion of the E2 SUMO conjugating enzyme, Ube2i, at the primordial follicle stage leads to female sterility due to complex changes in oocyte development, including altered folliculogenesis, defective meiotic progression, and premature loss of the ovarian reserve. In this study, proteomics was used to compare control and Ube2i conditional knockout ovaries during the first wave of folliculogenesis to identify key differences that may drive the premature follicle loss phenotype. Label-free mass spectrometry results showed that 238 proteins were significantly altered more than 2-fold (p < 0.05). Proteins upregulated in the Ube2i conditional knockout ovaries included those involved in mRNA splicing and WNT signaling, while those downregulated were related to metabolism, mitochondria, and the maternal effect proteins NLRP2 and NLRP9B. The majority of differentially expressed proteins showed no change by transcriptome analysis, indicating protein level regulation and revealing potential SUMOylation targets with necessary roles in oocyte and follicle development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".