The scaffold proteins Tanc1 and Tanc2 are required for myoblast fusion
Bibliographic record
Abstract
Abstract Myoblast fusion is a crucial step in myogenesis during embryogenesis and adulthood. In Drosophila , the scaffold protein Antisocial (Ants)/Rols7 plays is essential in myoblast fusion by connecting the cell adhesion surface proteins to the cytoskeleton. Most molecular pathways governing fusion are evolutionary conserved between mammals and flies, but the relative contributions of Tanc1 and Tanc2, mammalian orthologs of Ants/Rols7, in myoblast fusion have not been established. We used the myoblast C2C12 cell line as a model for differentiation and fusion to assess the contributions of Tanc1 and Tanc2 in fusion. We found that Tanc1 and Tanc2 expressions are not modulated during differentiation, but that both proteins are enriched at the cell cortex in proliferating myoblasts. The knockdown of either Tanc1 or Tanc2 in either of the fusing myoblasts impaired fusion. Notably, the expression of human Tanc1 or Tanc2 restored fusion defects observed in Tanc1- or Tanc2-depleted cells. We found that neither Tanc1 nor Tanc2 could substitute for Ants/Rols7 during Drosophila myoblast fusion. We conclude that both Tanc1 and Tanc2 play a role in mammalian myoblast fusion, but there may be some mechanistic differences with the functions of the Drosophila orthologous protein.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".