Layer‐by‐Layer Deposition of a Polycationic Bottlebrush Polymer with Hyaluronic Acid Reveals Unusual Assembly Mechanism and Selective Effect on Cell Adhesion and Fate
Bibliographic record
Abstract
Abstract This study provides a detailed molecular mechanism of the layer‐by‐layer (LbL) film formation process involving BB polymers. The roles of adsorbed and non‐adsorbed chain segments during the layer buildup are revealed by employing surface force apparatus (SFA) and atomic force microscopy (AFM) to probe critical aspects such as surface coverage, polymer conformation at the surface, adhesive properties, and morphology after each layer deposition. The results show that the thickness, nanomechanical properties, and surface chemistry of the nanofilms are significantly influenced by the number of layers. All these cues have an important impact on cell behavior when employed as coatings for culture substrates. The evidence is shown that cells respond very differently to these cues and exhibit behavior that goes from superproliferation down to accelerated death.
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 | 0.000 | 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 | 0.001 |
| 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".