Author response: Myofibril diameter is set by a finely tuned mechanism of protein oligomerization in Drosophila
Bibliographic record
Abstract
Muscles are made up of many long muscle fibers, each containing thousands of cylindrical segments called sarcomeres. When animals move, proteins in the sarcomere move past each other, shortening the muscles. Inside each muscle, all sarcomeres have the same length and diameter. The protein titin controls the length of each sarcomere, but it was unknown what controls the diameter. At the end of each sarcomere is a structure called the Z-disc that is composed of many muscle proteins. Mutations in Z-disc proteins are often involved in diseases called myopathies, where muscle structure breaks down. As the size of the Z-disc determines sarcomere diameter, improper regulation of sarcomere diameter could contribute to myopathies. One Z-disc protein called Zasp is a candidate for controlling diameter and can have many different forms in the same cells. Zasp has a similar role in most animals including humans, mice and flies. González-Morales et al. investigated Zasp in the muscles of the fruit fly, Drosophila melanogaster. Gene editing was used to vary the amounts of different forms of Zasp inside the muscles. The results revealed two types of Zasp, those that make sarcomeres wider, and those that limit growth. Reducing the second type of Zasp resulted in bigger Z-discs and in muscle aggregates similar to the ones seen in patients with certain myopathies. This study reveals a mechanism for coordinating the development of muscle. It also reveals the likely cause of certain myopathies and suggests a possible target for future treatment through regulation of Zasp proteins.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.222 | 0.072 |
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".