Evaluation of layered double hydroxide-siRNA composites to investigate structure, binding and gene-silencing activity
Bibliographic record
Abstract
Layered double hydroxide (LDH)-based nanomaterials are known for their good biocompatibility, pH-dependent stability, biodegradation properties, anion exchange capacity, easy surface modification, and high chemical stability. More recently, with the rise of oligonucleotide therapeutics and the related delivery challenges, LDHs are emerging as an alternative delivery therapeutic tool for oligonucleotide delivery because of their ability to bind effectively to the negatively charged phosphate backbone of oligonucleotides and release it once it is in the cell. However, based on our knowledge, the potential of using LDHs for short interfering RNA (siRNA) delivery has not been fully explored. In fact, this is the first study of its kind that systematically evaluates several LDHs for siRNA binding, gene silencing, and toxicity. The results of this research reveal that NiAl-NO 3 -LDH/h (h = hydrothermal method) has a comparable gene knockdown to siRNA delivered using common transfection agents such as Lipofectamine 2000™ (Invitrogen), Lipofectamine 3000™ (Invitrogen), and Interferin (ThermoFisher), with gene knockdown of 62.7 %, 62.6 %, 79.3 %, and 78.6 %, respectively. Exploring alternatives to transfection agents is important in driving oligonucleotide therapeutic applications forward because some of them, for example, Lipofectamine 2000™, is well known to exhibit toxicity across various cell lines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".