Bioactive Microarrays Immobilized on Low-Fouling Surfaces to Study Specific Endothelial Cell Adhesion
Bibliographic record
Abstract
With the aim to study how to modulate the specific endothelial cell patterning and responses on biomaterials surfaces, bioactive microarrays were developed and validated for specific cell patterning. These microarrays were made of low-fouling surfaces, that prevent nonspecific cell adhesion, bearing bioactive molecules at given known locations by presenting specific ligands to cell receptors. Arrays of bioactive molecules (RGD, REDV, and SVVYGLR sequences and vascular endothelial growth factor (VEGF)) were immobilized on a carboxy-methyl-dextran low-fouling surface and were exposed to human endothelial cells and fibroblasts to screen for the effect of bioactive spot molecular composition on cell adhesion. Endothelial cells only were sensitive to RGD peptide co-immobilized with REDV or SVVYGLR sequences: they induced a reduction in cell spreading and a loss of actin stress fibers. RGD co-immobilized with VEGF also resulted in the reorganization of actin filaments and focal points in endothelial cells. Combination of RGD with these endothelial cell-selective biomolecules did not elicit a strong adhesion phenotype but rather one characteristic of migrating cells.
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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 | 0.001 | 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".