Protocols for Isolation and Characterization of Human Corneal Epithelial and Conjunctival Epithelial Cells
Bibliographic record
Abstract
The eye is a specialized organ composed of many types of tissues and cells. Since the ocular surface is the first point of contact with light entering the eye, environmental airborne materials, and topically applied medications, it is important to understand the features of these cells and their physiopathology. Furthermore, such characteristics and receptor/enzyme/transporter profiles of the cells can serve as targets for drug discovery and development to treat such eye disorders and/or to show the potential risks of ocular irritation and inflammation associated with certain medications. This is particularly important with respect to corneal and conjunctival epithelial cells and mast cells, which are involved in the disease mechanisms associated with dry eye syndrome, ocular allergies, and ocular surface pain. The isolated cells can also be used to study the mechanisms of actions of certain drugs such as antihistamines, mast cell stabilizers, and steroids. This chapter aims to provide protocols to isolate, propagate, and study cells obtained from human cadaveric donor tissues. Potential ways to immortalize human corneal epithelial cells will also be described.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.028 |
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".