Cellular Glycocalyx Affects Nanoparticle Access to Cell Membranes and Uptake
Bibliographic record
Abstract
Understanding nanoparticle interactions with cells is fundamental to designing them for medical applications. Nanoparticles must interface with the cell surface to be bound and taken up. The glycocalyx is a carbohydrate layer coating the cell surface, rendering it negatively charged. Many researchers have noted that the glycocalyx affects nanoparticle uptake, but the mechanism remains unknown, Here, we investigate the interaction between the glycocalyx and nanoparticles at the cell surface in different cell types. The glycocalyx reduced the interactions between the nanoparticles and cells, thereby reducing cellular access, binding, and uptake. The magnitude of the effect is dependent on the nanoparticle charge. Fine-tuning the charge of nanoparticles can enhance the specificity of nanoparticle targeting. Understanding the role of the glycocalyx in nano-bio interactions will allow researchers to control the interactions of nanoparticles with the cell surface.
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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".