Substrate-Mediated Gene Delivery from Glycol-Chitosan/Hyaluronic Acid Polyelectrolyte Multilayer Films
Bibliographic record
Abstract
Substrate-mediated transfection is one of the key strategies for localized gene delivery. Layer-by-layer (LbL) polyelectrolyte deposition is a promising technique which enables controlled delivery of a number of biofactors, including nucleic acids. Here, we embed lipoplexes containing plasmid DNA within polyelectrolyte multilayers composed of glycol-chitosan (Glyc-CHI) and hyaluronic acid (HA) in order to produce a film system that enables localized, surface-based transfection. The topography and morphology of the resulting multilayers were characterized after lipoplex absorption and during subsequent film build-up via atomic force microscopy (AFM) and scanning electron microscopy (SEM), respectively. DNA embedding efficiency and release were then examined. Lipoplex-containing Glyc-CHI/HA films were found to successfully transfect NIH3T3 fibroblasts and HEK293 kidney cells in vitro, maintaining transfection levels of approximately 20% for a period of at least 7 days.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".