Trafficking of macromolecules and organelles in cultured <i>Dystonia musculorum</i> sensory neurons is normal
Bibliographic record
Abstract
Dystonia musculorum (dt) mice suffer from a recessive neuropathy characterized by the progressive loss of sensory axons. The gene responsible for this disorder, dystonin/Bpag1, encodes several alternatively spliced forms of a cytoskeletal linker protein. Neural isoforms of dystonin/Bpag1 are predicted to link actin filaments to microtubules. Consistent with this, previous observations have demonstrated that the cytoskeleton within sensory neurites of dt mice is perturbed. Also, recent results have indicated that a neural isoform of dystonin/Bpag1 interacts with the dynein motor complex. Because microtubule organization and dynein motor function are essential for trafficking, we hypothesized that this process would be perturbed in dt sensory neurons. Here, we demonstrate that cultured primary dorsal root ganglion (DRG) neurons express dystonin/Bpag1 and that loss of this expression causes an increase in apoptosis and a decrease in average neurite length. In contrast, detailed examination showed that the organization of microtubules is indistinguishable in DRG neuronal cultures from neonatal dt and wild-type mice. In addition, the steady-state distribution of several molecules and organelles is unchanged in these cultures. Furthermore, the speeds of mitochondrial movement in both anterograde and retrograde directions were comparable in dt and wild-type sensory neurons cultured from neonatal mice. Thus, dystonin/Bpag1 is not essential for microtubule network assembly since the microtubule network is intact in short-term cultures of sensory neurons from neonatal mice lacking this protein. In addition, dystonin/Bpag1 is not an essential part of the dynein motor complex for mitochondrial transport since mitochondrial trafficking is normal in cultured sensory neurons from dt mice.
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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 | 0.001 |
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".