Determination of retinal cell fates is affected in the absence of extraocular striated muscles
Bibliographic record
Abstract
Neural retinas of genetically modified mouse embryos and fetuses entirely lacking extraocular striated muscles (designated as Myf5-/-:MyoD-/- or amyogenic) are used to study in vivo the role of extraocular muscle (i.e., fetal ocular movements) in the genesis of retinal cell diversity. Although retinal lamination and the total number of cells per retinal layer appeared unaffected in amyogenic fetuses, electron microscopy and histochemistry revealed the absence of cholinergic amacrine cell type. By contrast, the amounts of other amacrine cell subpopulations (calretinin-, tyrosine hydroxylase-, and parvalbumin-expressing) were increased, whereas the amounts of Islet1/2-expressing retinal ganglion cells were decreased. Surprisingly, it was not possible to detect any change in proliferation or cell death. Consistently, the number of progenitors for retinal ganglion cells (nestin-expressing precursors) were increased, whereas the amounts of precursors for amacrine cells (syntaxin- and VC1.1-expressing precursors) were decreased in the mutant retinas. The difference in requirements for extraocular muscle support in regulation of precise ratios of retinal neuronal cell types suggests an essential role of extrinsic cues in the determination of retinal cell fates. Taken together, it appears that patterning mechanisms intrinsic to the neural retina specify the basic organization of retinal spatial organization (e.g., retinal layers and total number of cells). However, extrinsic cues seem to change intrinsic properties (e.g., competence) of retinal progenitor cells and influence the ratios of the differentiated cell types (i.e., cell fate choice) they produce.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".