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Record W1988804015 · doi:10.1021/bc0101259

Synthesis and Properties of Novel Tetraalkyl Cationic Lipids

2002· article· en· W1988804015 on OpenAlexaff
Jérôme Gaucheron, Tabitha Wong, Kim F. Wong, Norbert Maurer, Pieter R. Cullis

Bibliographic record

VenueBioconjugate Chemistry · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsInimex Pharmaceuticals (Canada)University of British Columbia
Fundersnot available
KeywordsCationic polymerizationChemistryTransfectionDivalentSteric effectsBiophysicsStereochemistryOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.215
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations51
Published2002
Admission routes1
Has abstractyes

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