A Lipid-based Delivery System for Antisense Oligonucleotides Derived from a Hydrophobic Complex
Bibliographic record
Abstract
Antisense oligodeoxynucleotides (ASOs) prevent expression of proteins by binding to specific regions of mRNA. This report investigates a potential lipid-based delivery system for ASO. A hydrophobic complex was recovered following addition of cationic lipids to ASOs in a Bligh and Dyer monophase [chloroform/methanol/water (1:2.1:1, v/v/v)]. The addition of monovalent cationic lipids (dioleyldimethylammonium chloride, dimethyldioctadecylammonium bromide, dioleoyltrimethylammonium propane), resulted in > 95% recovery of the ASOs from the organic phase when ASO phosphate charge was neutralized. Cholesteryldimethylaminoethylcarbamate mediated efficient extraction at a charge ratio (+/-) > 5.2. ASOs could not be extracted into the organic phase by the polyvalent lipids, dioctadecylamidoglycyl spermine and 2,3-dioleyloxy-N-[2(sperminecarboxamido)ethyl]-N,N-dimethyl-1-propaminium trifluoroacetate, even at a charge ratio (+/-) > 5. Dioleoylphosphatidylethanolamine, but not dioleoylphosphatidylcholine, prevented formation and destabilized the hydrophobic complexes. The characterization of the hydrophobic complex led to the development of lipid-ASO particles containing dioleyldimethylammonium chloride, dioleoylphosphatidylethanolamine and poly(ethylene glycol)-conjugated phosphatidylethanolamine (LAPs). When FITC-labeled ASOs in LAPs were added to B-cell lymphoma cells (DoHH2) in vitro, cell-associated ASO decreased as poly(ethylene glycol)-conjugated phosphatidylethanolamine incorporation increased. Western Blot analysis demonstrated that no significant downregulation of Bcl-2 protein was observed when using LAPs. The results suggest that the use of stabilized PEG-conjugated lipids may be detrimental for cationic lipid-based ASO delivery.
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 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) | 0.000 | 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".