Optimization of Satellite Cell Culture Through Biomaterials
Bibliographic record
Abstract
Hydrogels, a type of biomaterial, are an invaluable part of biomedical research as they are highly hydrated and properties such as elasticity, porosity, and ligand density can be tuned to desired values. Recently, culture substrate stiffness was found to be an important regulator of muscle stem cell self-renewal. Polyethylene glycol (PEG), a synthetic polymer, can be fabricated into hydrogels that match the softness of skeletal muscle tissue, thereby providing a culture surface that is optimal for maintaining muscle stem cell self-renewal potential ex vivo. In this Chapter, we describe a method to produce flat PEG hydrogels across a range of stiffnesses, including a formulation that matches the bulk stiffness of healthy skeletal muscle (12 kPa), while maintaining a constant ligand density. Since PEG is inert to protein adsorption, the steps required to surface functionalize the hydrogel with an adhesive interface (e.g., laminin) are also described.
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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 | 0.000 | 0.000 |
| 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".