Cancer‐Targeting Peptides Functionalized With Polyarginine Enables GRP78‐Dependent Cell Uptake and siRNA Delivery Within the DU145 Prostate Cancer Cells
Bibliographic record
Abstract
This study investigated a peptide-based GRP78-targeting strategy for short-interfering (si) RNA delivery in cancer cells. Synthetic fluorescein-labeled amphiphilic peptides composed of the hydrophobic cell surface (cs) GRP78-targeting and hydrophilic, polycationic arginine-rich cell penetrating peptides demonstrated GRP78-dependent cell uptake in the DU145 prostate cancer cells, and to a lesser extent in the non-cancerous human lung fibroblast WI-38 cell line. Mechanistic studies revealed energy-dependent GRP78 receptor-mediated endocytosis of the GRP78-targeting peptide with polyarginine (W1-R9). The cytosolic accumulation of this peptide underscored its potential utility in siRNA delivery. Peptide:siRNA complexes formed stably condensed nanoparticles, with calcium functioning as an ionic stabilizer and additive promoting endosomal siRNA escape for RNA interference (RNAi) activity. Preliminary peptide-based siRNA transfections in the DU145 cells demonstrated that GRP78 knockdown led to an interplay in between pro-survival and cell death outcomes under ER stress induction. Thus, the GRP78-targeting polyarginine peptides enables efficient cell uptake for specific siRNA delivery in the DU145 cells. This class of bio-active synthetic peptides is important for the investigation of cancer biology, leading to the innovation of cancer-targeted gene delivery and therapy approaches.
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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 | 0.001 | 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".