A Cryopreservation Strategy for Myoblast Storage in Paper‐Based Scaffolds for Inter‐Laboratory Studies of Skeletal Muscle Health
Bibliographic record
Abstract
Abstract 3D tissue‐engineered models are poised to facilitate understanding of skeletal muscle pathophysiology and identify novel therapeutic agents to improve muscle health. Adopting these culture models within the broader biology community is a challenge as many models involve complex methodologies and significant investments of time and resources to optimize manufacturing protocols. To alleviate this barrier, a protocol with commercially available reagents is developed to cryopreserve myoblasts in a 96‐well compatible format that allows tissues to be transferred to users without expertise in 2D or 3D skeletal muscle cell culture. This report validates that myoblasts encapsulated in a hydrogel and cryopreserved in paper‐based scaffolds maintain cell viability, differentiation, and function via acetylcholine‐induced transient calcium responses. Furthermore, successful shipping of myoblasts cryopreserved in paper‐based scaffolds to intra‐provincial and international collaborators is demonstrated who successfully thaw, culture, and use the 3D muscle tissues. Finally, the application of this method is confirmed for studying muscle endogenous repair by seeding freshly isolated skeletal muscle stem cells to cryopreserved then differentiated and injured tissues, demonstrating expected responses to a known stimulator of muscle stem cell self‐renewal, p38α/β MAPKi. Altogether, the 3D myoblast cryopreservation protocol offers broadened access of a complex skeletal muscle tissue model to the research community.
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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".