Expression of Hsp27 in retinal ganglion cells of the rat during postnatal development
Bibliographic record
Abstract
The small heat shock protein Hsp27 has been shown to protect neurons from apoptosis. We have recently shown the expression of Hsp27 in a subset of injured adult retinal ganglion cells (RGCs), a response that is muted by the administration of brain-derived neurotrophic factor. This work has suggested a role for Hsp27 in the long-term survival of RGCs following injury. The purpose of this study was to investigate the expression of Hsp27 during postnatal retinal development, based on Hsp27's role as a neuronal survival factor and on its up-regulation in the adult injured retina. Expression of Hsp27 in the developing retina was examined at various times postnatally (between P0 and P24) by using immunohistochemical techniques. We report that Hsp27 expression peaks in the ganglion cell layer between P6 and P12 and is not detected at earlier (P0-P3) or later (P15-P24) times. Double labeling of the Hsp27-positive cells with Fluorogold applied to the superior colliculus confirmed that Hsp27-positive cells in the ganglion cell layer are RGCs. We have shown developmentally regulated expression of Hsp27 in RGCs of the postnatal rat. The retinal expression of Hsp27 correlates temporally with innervation of the tectum by late-born RGCs and with onset of spontaneous retinotectal activity. We propose that the expression of Hsp27 may play an important role in retinal development during a critical period of RGC functional connectivity with the superior colliculus.
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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 | 0.001 | 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) | 0.001 | 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".