Microfabricated poly(ethylene glycol) templates enable rapid screening of triculture conditions for cardiac tissue engineering
Why this work is in the frame
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Bibliographic record
Abstract
The purpose of this study was to design a simple system for cultivation of micro-scale cardiac organoids and investigate the effects of cellular composition on the organoid function. We hypothesized that cultivation of cardiomyocytes (CM) on preformed networks of fibroblasts (FB) and endothelial cells (EC) would enhance the structural and functional properties of the organoids, compared to simultaneously seeding the three cell types or cultivating enriched CM alone. Microchannels for cell seeding were created by photopolymerization of poly(ethylene glycol) diacrylate. In the preculture group the channels were seeded with a mixture of NIH 3T3 FB and D4T EC, following by addition of neonatal rat CM after 2 days of FB/EC preculture. The control microchannels were seeded simultaneously with FB/EC/CM (simultaneous triculture) or with enriched CM alone (enriched CM). Preculture resulted in cylindrical, contractile, and compact cardiac organoids that contained elongated CM expressing connexin-43 and cardiac troponin I. In contrast, simultaneous triculture resulted in noncontractile organoids with clusters of CM growing separately from elongated FBs and ECs. The staining for Connexin-43 was absent in the simultaneous triculture group. When fixed or frozen FB/EC were utilized as a preculture substrate for CM, noncontractile organoids were obtained; while preculture on a single cell type (either FB or EC) resulted in contractile organoids but with inferior properties compared to preculture with both FB/EC. These results emphasize the importance of living cells, presence of both nonmyocyte cell types as well as sequential seeding approach for cultivation of functional multicell type cardiac organoids.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 it