A peptide carrier for the delivery of elastin into fibroblast cells
Bibliographic record
Abstract
BACKGROUND: Transmembrane delivery of active peptides and proteins, including skin delivery of cosmeceutical proteins such as collagen and elastin, has been a challenging issue. Amphipathic cell-penetrating peptides (CPPs) have been proposed as carrier peptides to mediate cellular uptake of proteins without covalent binding. MATERIALS AND METHODS: In this study, we have used a short peptide, Pep-1, as our CPP to transport elastin into fibroblast cells. Different ratios of Pep-1/elastin complexes were produced by using a fixed amount of elastin and different molar ratio of Pep-1. The ability of transduction into cells was determined by fluorescence microscopy. The characteristics of Pep-1/elastin complexes were monitored using scanning electron microscopy and photon correlation spectroscopy. RESULTS: No cellular toxicity was observed in cells treated with Pep-1/elastin complex. Finally, we determined a Pep-1 : elastin ratio of 10 : 1 as the most effective ratio in cellular delivery of elastin. CONCLUSION: Pep-1 mediated fast and effective delivery of elastin as a cosmetic protein into fibroblast cells in the treatment of skin-aging symptoms.
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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) | 0.001 | 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".