Isolation, cultivation and transfection of human keratinocytes
Bibliographic record
Abstract
Human keratinocytes could be used in the repair of damaged skin, in tissue engineering applications, gene therapy and recently, the generation of iPS cells. We isolated human keratinocytes from foreskin and subsequently cultured them on fibronectin, collagen type I, gelatin and laminin-coated dishes that contained three different types of serum-free medium (epilife, KSM or CnT). We developed improved conditions for efficient transfection of these human keratinocytes by testing three common transfection methods and a GFP plasmid vector. The isolated cells showed typical keratinocyte morphology and expressed the epithelial cell specific antigen, cytokeratin 14. Collagen type 1, epilife medium and lipofectamin 2000 gave the best results for isolation and transfection of human keratinocytes. Our protocol can be used as a reproducible, simple and efficient method for isolation, cultivation and genetic manipulation of human keratinocytes, which may be useful in cell and gene therapy applications.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".