In vitro and in vivo therapeutic siRNA delivery induced by a tryptophan-rich endosomolytic peptide
Bibliographic record
Abstract
At the forefront of medicine, gene therapy provides an effective way to treat a range of diseases by regulating defective genes at the root of the disease. Short interfering RNAs (siRNAs) hold great promise as therapeutic agents in this domain; however, intracellular delivery remains a major obstacle to clinical applications of therapeutic siRNAs. Here we report a peptide designed to mediate siRNA delivery. This peptide, C6M1, is rationally designed to promote the endosomal escape ability of an existing peptide sequence. Formed C6M1-siRNA nanoscale complexes are able to deliver siRNA into cells and induce specific gene knockdown with low toxicity. The increased membrane disruption ability under acidic conditions of the peptide with tryptophan residue substitution may contribute to the enhanced gene silence efficacy. Intratumoral injection of the complexes results in a marked reduction of tumor growth through downregulation of antiapoptotic Bcl-2 protein in mice. In addition, the C6M1-siRNA complex was proven safe at transfection concentration by cytotoxicity assay. These results demonstrate that the C6M1-siRNA complex is a potent system for efficient gene delivery in vitro and in vivo.
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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".