Muscle Stem Cell Immunostaining
Bibliographic record
Abstract
Muscle stem cells (MuSCs) are essential for maintaining muscle homeostasis by providing progenitor cells for muscle regeneration after injury and in muscular diseases. MuSC properties dynamically change, reflecting physiology or pathological status. For instance, MuSCs are activated after muscle injury, but become exhausted in late stages of Duchenne Muscular Dystrophy (DMD) disease and senescent during aging. Therefore, characterization of MuSCs, including proliferation, activation, senescence, and apoptosis, etc., is very important in applying MuSC knowledge to regenerative medicine, such as in the treatment of DMD and to improve muscle function in aging. Here, we describe a detailed method for characterizing MuSCs in situ using immunostaining techniques in the mouse. This method can also be easily adapted to analyze other skeletal muscle properties. © 2018 by John Wiley & Sons, Inc.
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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) | 0.000 | 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) | 0.000 | 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".