Cell adhesion resistance mechanisms using arrays of dextran‐derivative layers
Bibliographic record
Abstract
To control interactions at the cell-material interface, low-fouling polymer coatings are used to prevent nonspecific interactions. Subsequent biosignals may be grafted on these low-fouling layers to induce specific biological responses. A polymer array technology was developed to study structural diversity of carboxy-methyl-dextran (CMD) grafted layers in connection with their cell repulsion ability. Arrays of CMD layers were exposed to fibroblasts to screen for cell resistant layers according to the immobilization conditions used to produce these surfaces. Cell cytoskeleton and fibronectin matrix deposition and reorganization were labeled in short-term (4 and 12 h) and long-term (3 days of cell confluence) cell adhesion assays. Results suggest that CMD layers that were resistant to cell adhesion were dense, flexible, and presented a regular (i.e., defect-free) hydrated surface. Cell-resistant CMD layers prevented cell matrix deposition and assembly, affecting cell-substrate adhesion and cytoskeletal organization. Finally, an optimized CMD layer was chosen and proved to be as resistant as a poly(ethylene glycol) layer.
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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 | 0.000 |
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 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".