Changing Surface Polyethylene Glycol Architecture Affects Elongated Nanoparticle Penetration into Multicellular Tumor Spheroids
Bibliographic record
Abstract
Nanoparticles (NPs) designed for biomedical applications are coated with protein-repellent polymers. Here, we examine the penetration of rodlike NPs with narrow size distributions (Ln = 170 nm, wn = 12 nm) into multicellular tumor spheroids prepared from two human cancer cell lines. Two types of NPs with different core materials [polyferrocenylsilane and cellulose nanocrystals (CNC)] were coated with a dense brush of poly(oligoethyleneglycol methacrylate) (POEGMA), while a second CNC NP sample was coated with a linear polyethylene glycol (PEG) brush. While the core material had little influence, the coating material was strikingly important, with POEGMA-coated NPs penetrating much more deeply into the tumor spheroids than the NPs coated with linear PEG. Localization experiments using 111In-labeled POEGMA-coated CNC NPs showed that most of the radioactivity remained in the interstitial space (ca. 78%) with little cell uptake (ca. 6%). Hence, the deep penetration of these nanorods into tumor spheroids is associated with an interstitial diffusion pathway through the extracellular matrix and not cellular transcytosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".