Growth hormone action in the developing neural retina: A proteomic analysis
Bibliographic record
Abstract
The possible presence and action of growth hormone (GH) in the neural retina was investigated in newborn mice. The neural retina was found to be a site of GH gene expression, as GH mRNA was abundant in cells of the retinal ganglion cell layer, in which GH was also detected. It was also a site of GH action, since GH receptor (GHR) immunoreactivity mirrored that of GH. Actions of GH within the eye were indicated by a reduction in its axial length and retinal width (its neuroblastic, inner plexiform, and optic fiber layers) in GHR gene disrupted mice (GHR-/-), in comparison with wild type (GHR+/+) littermates. In the absence of GH signaling, four proteins in the retinal proteome of the GHR-/- mice (identified by 2-D gels and MS) differed in abundance with those in the wild type mice. Brain abundant membrane attached signal protein-1 (BASP-1) was down-regulated, whereas protein kinase C inhibitor 1, cyclophilin A, KH domain-containing, RNA-binding, signal transduction-associated protein 3 were up-regulated in GHR-/- mice. These proteins are involved in retinal vascularization, neural proliferation and neurite outgrowth. GH might thus have hitherto unsuspected roles in these processes during retinal development.
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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 | 0.000 | 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 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".