Design and Formulation of Polyplexes Based on Pluronic-Polyethyleneimine Conjugates for Gene Transfer
Bibliographic record
Abstract
Previously, we reported the evaluation of several polyplex-based gene delivery systems with respect to their effectiveness, toxicity, and cell type dependence in vitro. One system, P123-g-PEI(2K), a cationic graft block copolymer, is of particular interest as it has been demonstrated to successfully deliver genetic material to murine liver following systemic delivery [Nguyen, H. K., Lemieux, P., Vinogradov, S. V., Gebhart, C. L., Guerin, N., Paradis, G., Bronich, T. K., Alakhov, V. Y., and Kabanov, A. V. (2000) Evaluation of Polyether-Polyethyleneimine Graft Copolymers as Gene Transfer Agents. Gene Ther. 7, 126-138 (1)]. The P123-g-PEI(2K) system requires nonmodified Pluronic P123 as an excipient to stabilize the dispersion. The purpose of the current work was to more closely characterize this system, to assess the role of each component of the system to the overall transfection process. We evaluated particle size, stability, and resistance to nuclease degradation. In addition, cellular uptake and localization of plasmid, as well as transgene expression, were evaluated following in vitro transfection of prostate cancer cells (PC-3) with various individual components of the system. Nonmodified Pluronic alone did not significantly enhance DNA uptake, transgene expression, or DNase protection. Therefore, we conclude that nonmodified Pluronic acted primarily by optimizing the size of the polyplex. Furthermore, though this system displays several characteristics thought desirable of a nonviral gene delivery system, these studies did discriminate a potential limitation of this system for in vivo applications, namely, the insufficient level of protection of plasmid DNA from nuclease degradation. This may limit the effective dose delivered, as well as limiting the effective circulation time. These studies provide vital information that will guide modification of this system to enhance the current in vivo profile.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".