Quantification of dynamic mitochondrial morphologies in myoblasts
Bibliographic record
Abstract
Mitochondria are vital organelles, critical for energy supply and cell survival. Such functional versatility is paralleled by the structural complexity of the organelle. Mitochondria can compensate for alterations in energy requirements by adjusting their size and distribution within skeletal muscle. To quantify this in living cells, we used C2C12 myoblasts transfected with fluorescently labeled pEYFP‐Mito in order to track mitochondrial dynamics. We captured mitochondrial movements at 2 second intervals for an observation time of 5 minutes using real‐time imaging. Approximately 60% of the mitochondria localized in the periphery of myoblasts were punctate spheres less than 0.5μm 2 in area, while 19% of mitochondria were present as elongated reticular structures greater than 1.0μm 2 in area. These dynamic organelles also varied in their displacement, moving an average of 3.4μm from the origin. However, the total path length travelled by these organelles was approximately 4–5 fold greater, averaging 15μm within the 5 minutes time frame. Thus, mitochondrial morphology in myoblasts is under dynamic control. Understanding the changes in mitochondrial morphology will allow us to elucidate the underlying basis for mitochondrial reticular formation in skeletal muscle, and the effects of contractile activity. Supported by NSERC.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".