DNA Dendrons as Agents for Intracellular Delivery
Bibliographic record
Abstract
Herein, a method for synthesizing and utilizing DNA dendrons to deliver biomolecules to living cells is reported. Inspired by high-density nucleic acid nanostructures, such as spherical nucleic acids, we hypothesized that small clusters of nucleic acids, in the form of DNA dendrons, could be conjugated to biomolecules and facilitate their cellular uptake. We show that DNA dendrons are internalized by 90% of dendritic cells after just 1 h of treatment, with a >20-fold increase in DNA delivery per cell compared with their linear counterparts. This effect is due to the interaction of the DNA dendrons with scavenger receptor-A on cell surfaces, which results in their rapid endocytosis. Moreover, when conjugated to peptides at a single attachment site, dendrons enhance the cellular delivery and activity of both the model ovalbumin 1 peptide and the therapeutically relevant thymosin alpha 1 peptide. These findings show that high-density, multivalent DNA ligands play a significant role in dictating cellular uptake of biomolecules and consequently will expand the scope of deliverable biomolecules to cells. Indeed, DNA dendrons are poised to become agents for the cellular delivery of many molecular and nanoscale materials.
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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 | 0.001 |
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".