Formation of retinal pigment epithelium in vitro by transdifferentiation of neural retina cells
Bibliographic record
Abstract
Chick embryonic neural retina (NR) dedifferentiates in culture and can transdifferentiate spontaneously into retinal pigment epithelium (RPE). Both, primary RPE and transdifferentiated RPE (RPEt), are characterized by pigmentation, expression of RPE-specific protein, eRPEAG and lack of expression of the neural cell adhesion molecule, NCAM. In contrast, NR cells are unpigmented and express NCAM but not eRPE(AG). Functionally, both primary RPE and the RPEt cells display a pH(i) response to bFGF, which is different from that of the NR. We used these characteristics to distinguish cell types in primary cultures of chick NR and follow the changes in phenotype that occur during transdifferentiation. We show that the RPEt forms as small "islands" in the packed regions of the primary, "mother" NR cell sheets, in a stochastic process. Because of a small number of cells involved in the initiation of the transdifferentiation we refer to it as a "leader effect" to contrast it with the "community effect" which requires many competent cells to be present in a group to be able to respond to an inductive signal. The RPEt then expands centrifugally and underneath the surrounding NR sheet. To determine if the RPEt maintains its identity in isolation while displaying the RPE-typical phenotypic plasticity, we explanted the islands of RPEt and treated half of them with bFGF. The untreated RPEt maintained its closely packed, polygonal pigmented phenotype but the bFGF-treated RPEt transdifferentiated into a non-pigmented, NR-like phenotype, indicating that RPEt encompasses the full differentiation repertoire of native RPE.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".