Synthesis and Properties of Novel Tetraalkyl Cationic Lipids
Bibliographic record
Abstract
The synthesis, physical properties, and transfection potencies of two representives of a new class of divalent, tetraalkyl cationic lipids is described. These cationic lipids are dimers of N,N-Dioleyl-N,N-dimethylammonium chloride (DODAC) joined by a hydrocarbon tether three or six carbons in length (TODMAC3 and TODMAC6, respectively). It is shown that TODMAC6 can display improved transfection properties in comparison to DODAC when formulated into plasmid DNA-cationic lipid complexes. These improved transfection potencies are observed at cationic lipid to DNA charge ratios of two or higher. It is also shown that TODMAC6 exhibits equivalent or improved ability (as compared to DODAC) to induce nonbilayer structure in mixtures with anionic lipid. This is consistent with the hypothesis that the ability of cationic lipids to induce nonbilayer structures when mixed with anionic lipids is correlated to their transfection potency. Complexes containing TODMAC3 on the other hand exhibit lower transfection potencies than achieved with DODAC, behavior that is consistent with steric effects limiting the formation of ion pairs with anionic lipids. It is concluded that TODMAC6 exhibits potential as a transfection agent for in vitro and in vivo use and that the design of cationic lipids according to their ability to induce nonbilayer structure provides a useful guide for synthesis of new cationic lipids.
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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".