Retinal pigment epithelium expansion around the neural retina occurs in two separate phases with distinct mechanisms
Bibliographic record
Abstract
BACKGROUND: The retinal pigment epithelium (RPE) is a specialized monolayer of epithelial cells that forms a tight barrier surrounding the neural retina. RPE cells are indispensable for mature photoreceptor renewal and survival, yet how the initial RPE cell population expands around the neural retina during eye development is poorly understood. RESULTS: Here we characterize the differentiation, proliferation, and movements of RPE progenitors in the Zebrafish embryo over the period of optic cup morphogenesis. RPE progenitors are present in the dorsomedial eye vesicle shortly after eye vesicle evagination. We define two separate phases that allow for full RPE expansion. The first phase involves a previously uncharacterized antero-wards expansion of the RPE progenitor domain in the inner eye vesicle leaflet, driven largely by an increase in cell number. During this phase, RPE progenitors start to express differentiation markers. In the second phase, the progenitor domain stretches in the dorsoventral and posterior axes, involving cell movements and shape changes, and coinciding with optic cup morphogenesis. Significantly, cell division is not required for RPE expansion. CONCLUSIONS: RPE development to produce the monolayer epithelium that covers the back of the neural retina occurs in two distinct phases driven by distinct mechanisms. Developmental Dynamics 246:598-609, 2017. © 2017 Wiley Periodicals, Inc.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".