Directional migration of endothelial cells towards angiogenesis using polymer fibres in a 3D co-culture system
Bibliographic record
Abstract
Development of an in vitro prevascularized scaffold is of great importance to produce vascularization in tissue-engineered devices and for other clinical purposes. To this aim, polymer fibres covered with human umbilical vein endothelial cells (HUVECs) were used to induce directional 'angiogenesis' in a 3D co-culture system. Gelatin or RGD peptides were immobilized on surface-modified polymer fibres [100 µm diameter poly(ethylene terephthalate) monofilaments] via N-hepthylamine plasma polymer and carboxy-methyl-dextran interlayers. Fibres fully covered with HUVECs were then embedded in a fibrin gel, following a parallel alignment pattern, in the presence of fibroblasts. Tube-like structures occurred along the fibres and a network was formed between neighbouring fibres. These events were promoted with increased incubation times. Biomolecule-grafted fibres created a guidance pathway that facilitated coated endothelial cells to form lumens and, from them, sprouting processes. However, there were no significant differences between the different surface modifications on fibres in terms of promoting tube-like structures. Thus, different stages of angiogenesis can be initiated and guided using HUVECs precovered polymer fibres embedded in a soft supportive matrix, such as fibrin, which can be further applied to the development of in vitro prevascularized tissue-engineered scaffolds.
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 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".