Protocol for Conditional Knockout Mouse Model of OHT and Glaucoma
Bibliographic record
Abstract
This chapter describes the protocols used to create a conditional knockout mouse model to study partially closed-angle glaucoma where the intraocular pressure (IOP) is raised beyond normal levels. The Cre/loxP approach was employed as a strategy to conditionally inactivate the AP-2β gene from the developing periocular mesenchyme (POM) that is responsible for creating the trabecular meshwork (TM) (Taiyab et al., 2022). The Mgp-Cre knock-in (Mgp-Cre.KI) mice, in combination with the AP-2β floxed mice, were utilized to create a targeted deletion of AP-2β to the TM area. The AP-2β TMR KO mutants exhibit an absent TM and underdeveloped Schlemm’s canal (SC) and partial adherence of the iris to the cornea. The mutants have significantly higher IOP than their wild-type littermates by one month of age, and this is correlated with a progressive, significant loss of retinal ganglion cells, reduced retinal thickness, and reduced retinal function, as measured by electroretinography. Thus, these mutant mice can serve as a model for understanding and treating progressive human primary angle-closure glaucoma with associated ocular hypertension.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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".