Formulation and<i>in vitro</i>characterization of PEGylated chitosan and polyethylene imine polymers with thrombospondin‐I gene bearing pDNA
Bibliographic record
Abstract
An ideal gene carrier is required both in safety and efficiency for transfection. We examined the use of water soluble chitosan and polyethyleneimine as a carrier for anti-angiogenic protein, TSP-1 coded, in gene delivery. The aim of this study was to synthesize and characterize polyethylene glycol conjugated cationic polymers to increase anti-angiogenic gene transfection and reduce possible cytotoxicity. Gel electrophoresis study showed strong DNA binding ability of modified cationic polymers. Also structural properties of pegylated polymers were confirmed by (1)H-NMR. We investigated in vitro properties of PEG conjugated and coated particles which were observed between 145 and 250 nm with the positive zeta potential value. In addition, the chitosan-based DNA complexes did not induce remarkable cytotoxicity against MCF-7 cells. Due to low cytotoxicity, we observed high transfection efficiency at chitosan-based formulations compared with PEI ones. Although transfection studies carried on in vitro conditions, we measured slight increases at transfection with PEGylation. PEG-conjugated chitosan formulations can be a promising candidate due to its efficiency in condensing and transfection of pDNA, its low cytotoxicty and comparatively high encapsulation degree.
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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".