PI(4,5)P <sub>2</sub> role in Transverse-tubule membrane formation and muscle function
Bibliographic record
Abstract
Abstract Transverse (T)-tubules – vast, tubulated domains of the muscle plasma membrane – are critical to maintain healthy skeletal and heart contractions. How the intricate T-tubule membranes are formed is not well understood, with challenges to systematically interrogate in muscle. We established the use of intact Drosophila larval body wall muscles as an ideal system to discover mechanisms that sculpt and maintain the T-tubule membrane network. A muscle-targeted genetic screen identified specific phosphoinositide lipid regulators necessary for T-tubule organization and muscle function. We show that a PI4KIIIα - Skittles/PIP5K pathway is needed for T-tubule localized PI(4)P to PI(4,5)P 2 synthesis, T-tubule organization, calcium regulation, and muscle and heart rate functions. Muscles deficient for PI4KIIIα or Amphiphysin , the homolog of human BIN1 , similarly exhibited specific loss of transversal T-tubule membranes and dyad junctions, yet retained longitudinal membranes and the associated dyads. Our results highlight the power of live muscle studies, uncovering distinct mechanisms and functions for sub-compartments of the T-tubule network relevant to human myopathy. Summary T-tubules – vast, tubulated domains of the muscle plasma membrane – are critical to maintain skeletal and heart contractions. Fujita et al . establish genetic screens and assays in intact Drosophila muscles that uncover PI(4,5)P 2 regulation critical for T-tubule maintenance and function. Key Findings PI4KIIIα is required for muscle T-tubule formation and larval mobility. A PI4KIIIα-Sktl pathway promotes PI(4)P and PI(4,5)P 2 function at T-tubules. PI4KIIIα is necessary for calcium dynamics and transversal but not longitudinal dyads. Disruption of PI(4,5)P 2 function in fly heart leads to fragmented T-tubules and abnormal heart rate.
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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 | 0.001 | 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".