Self-Assembled Multifunctional Nanoplexes for Gene Inhibitory Therapy
Bibliographic record
Abstract
AIM: To enhance the stability of siRNA while improving their therapeutic properties and visualization at the target site, a novel nanoplex system was developed. MATERIALS & METHODS: The designed nanoplex system involved functionalizing siRNA with near-infrared quantum dots and loading them into histidylated glycol chitosan (GC-His). RESULTS: Colocalization studies revealed a twofold increase in siRNA uptake after encapsulation with GC-His and nanoparticles were localized in cytoplasm, suggesting that histidine promoted their dissociation from the endosomal membranes. Furthermore, as opposed to siRNAs treated with commercial transfection reagent, siRNAs loaded within GC-His showed a marked reduction (64%) of MDM2 protein expression 24 h after transfection. CONCLUSION: These findings concur that GC-His/siRNA-quantum dot nanoplexes are promising multifunctional vehicles for gene inhibitory therapy.
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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".