Biophysical regulation during cardiac development and application to tissue engineering
Bibliographic record
Abstract
Tissue engineering combines the principles of biology, engineering and medicine to create biological substitutes of native tissues, with an overall objective to restore normal tissue function. It is thought that the factors regulating tissue development in vivo (genetic, molecular and physical) can also direct cell fate and tissue assembly in vitro. In light of this paradigm, tissue engineering can be viewed as an effort of "imitating nature". We first discuss biophysical regulation during cardiac development and the factors of interest for application in tissue engineering of the myocardium. Then we focus on the biomimetic approach to cardiac tissue engineering which involves the use of culture systems designed to recapitulate some aspects of the actual in vivo environment. To mimic cell signaling in native myocardium, subpopulations of neonatal rat heart cells were cultured at a physiologically high cell density in three-dimensional polymer scaffolds. To mimic the capillary network, highly porous elastomer scaffolds with arrays of parallel channels were perfused with culture medium. To mimic oxygen supply by hemoglobin, culture medium was supplemented with an oxygen carrier. To enhance electromechanical coupling, tissue constructs were induced to contract by applying electrical signals mimicking those in native heart. Over only eight days of cultivation, the biomimetic approach resulted in tissue constructs which contained electromechanically coupled cells expressing cardiac differentiation markers and cardiac-like ultrastructure and contracting synchronously in response to electrical stimulation. Ongoing studies are aimed at extending this approach to tissue engineering of functional cardiac grafts based on human cells.
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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) | 0.001 | 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) | 0.000 | 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".