A Titan but not Necessarily a Ruler: Assessing the Role of Titin During Thick Filament Patterning and Assembly
Bibliographic record
Abstract
The sarcomeres of striated muscle are among the most elaborate and dynamic eukaryotic cellular protein machinery, and the mechanisms by which these semicrystalline filament networks are initially patterned and assembled remain contentious. In addition to the acto-myosin filaments that provide motor function, the sarcomere contains titin filaments, comprised of individual molecules of the giant Ig- and fibronectin domain-rich protein titin. Titin is the largest known protein, containing many structurally distinct domains with a variety of proposed functions, including sarcomere stabilization, the prevention of over-stretching, and returning to resting length after contraction. One molecule of titin, which binds to both the Z-disk and the M-line, spans a half-sarcomere, and is proposed to serve as a "molecular ruler" that dictates the spacing of sarcomeres. The semirigid rod-like A-band region of titin has also been proposed to act as a scaffold for thick filament formation during muscle development, but despite decades of research, this hypothesis has not been rigorously tested. Recent studies in zebrafish have brought into question the necessity for the A-band region of titin during the early stages of sarcomere patterning. In this review, we give an overview of the many different roles of titin in the development and function of striated muscle, and address the validity of the "molecular ruler" model of myofibrillogenesis in light of the current literature.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".