Investigation of DNA Spectral Conformational Changes and Polymer Buffering Capacity in Relation to Transfection Efficiency of DNA/Polymer Complexes
Bibliographic record
Abstract
PURPOSE: The relation between transfection efficiency of DNA/polymer complexes and DNA conformational alterations is investigated. The buffering capacity of several synthetic polymers is also studied to relate their performance in transfection efficiency. METHODS: The cationic polymer/DNA interaction was evaluated by measuring the alteration of DNA secondary structures in solution before and after the addition of polymer with ATR-FTIR technique. The degree of protonation in aqueous cationic polymers is varied upon pH and different structures. A polymer capable of protonation acts like a proton sponge to react with H+ in titration with HCl. This characteristic was evaluated in relation to transfection efficiency because the capacity would help the release of endocytotic DNA from endosome/lysosome on its way to expression. RESULTS: IR results show that the antisymmetric PO2- vibration of DNA (at 1224 cm-1) shifts toward lower frequencies in complexation with PEI or PLLys (these polymers are able to transfect DNA). By contrast, the antisymmetric PO2- vibration of DNA in presence of PDAMA or dextran (these polymers are poor in DNA transfection) shows a shifting to higher frequencies or no alteration was observed. Interestingly, the polymers with best performance in transfection efficiency are in this order: PEI>PDMAEMA>PLLys>PDAMA>dextran which is in the same order as their polymer buffering capacity. These facts indicate polymers possessing better buffering capacity could result in higher transfection efficiency. Also, we have demonstrated in this paper that the alteration in the antisymmetric PO(2)(-) stretching vibration in the IR spectra is sensitive to the binding of cationic polymers with DNA and the transfection efficiency of the formed complexes. These findings are useful for the developing polymer-based gene delivery systems with better in vitro and in vivo performance. NOVELTY OF THE WORK: this work establishes a rational relation between transfection efficiency of DNA/polymer complexes and DNA conformational alterations. Also, the buffering capacity of polymers is found to be closely related to their performance in transfection efficiency.
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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 | 0.001 |
| 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".