Cytoskeletal regulation of mitochondrial movements in myoblasts
Bibliographic record
Abstract
Mitochondria are distributed in the cell to match the energy demands, and it is their interaction with the cytoskeleton that controls their movement and displacement. Our purpose was to determine which cytoskeletal components are primarily responsible for mitochondrial movement in muscle cells. Live-cell imaging was used to visualize mitochondrial dynamics in myoblasts. Destabilization of microtubules (MT) reduced the total path length and average speed traveled by mitochondria by 64-74%, whereas actin disruption only reduced these variables by 37-40%. Downregulation of the microtubule motor proteins, Kif5B and dynein, by siRNA resulted in decreases in the average speed of mitochondrial movements, by 30 to 40%. We observed a reduction in the average speed of mitochondrial movements (by 22 to 48%) under high calcium conditions. This attenuation in the presence of calcium was negated in cells pre-treated with siRNA targeted to the microtubule motor protein adaptor, Milton, suggesting that Milton is involved in mediating mitochondrial arrest in the presence of high calcium within muscle cells. Thus, we have demonstrated that, in myoblasts, mitochondria primarily move along microtubules tracks with the aid of the motor proteins Kif5B and dynein, in a manner which is inhibited by calcium. These observations will eventually help us understand organelle movements in more complex muscle systems, such as mature myotubes subjected to elevated calcium levels and contractile activity.
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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 | 0.000 |
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".