Lipid-Modified PEI Derivative-Based Binary/Ternary Polyplex Formulations for the Delivery of pDNA and mRNA in Primary Cells
Bibliographic record
Abstract
A previous study has demonstrated the benefit of modification of polyethylenimine (PEI1.2k) by lipids through a p-hydroxyphenylacetic acid (PHPA) linker and polyanion (PA), which is now extended in this report to several primary cells. The formulated binary (lipopolymer/NAs) and ternary (lipopolymer/NAs/PA) complexes displayed no significant toxicity (MTT/hemolysis assay). The pDNA/mRNA complexes with PEI1.2k-PHPA-Lin9 and PEI1.2k-PHPA-Lau5-Ole5 lipopolymers showed gene expression levels higher than those of other lipopolymers. The transfection efficiencies of the ternary polyplexes of these lipopolymers possessed higher gene expression than those of the binary polyplexes. The serum-stable ternary polyplexes of PEI1.2k-PHPA-Lau5-Ole5 maintained high levels of mRNA expression in the lungs along with the spleen after intravenous injection. As in in vitro studies, transgene expression was relatively weak with binary complexes in muscle; however, a 10-fold higher efficiency was obtained with ternary complexes. Overall, our results provide improved gene formulations for the transfections of primary cells in vitro, as well as in in vivo animal models.
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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".