Dystroglycan mediates polarized deposition of laminin and axon ensheathment by wrapping glia
Bibliographic record
Abstract
The Drosophila peripheral nerve contains multiple layers of glial cells and an overlying extracellular matrix, which together support neuronal survival and function. The innermost glial layer, the wrapping glia (WG), ensheathes axons and facilitates action potential conduction. Recent work has identified involvement of laminin, a heterotrimeric extracellular matrix protein complex in WG development. However, the localization and function of laminin in the WG remains poorly understood. Here, we found that the α subunit, Laminin A (LanA), is dynamically expressed by WG, and loss of LanA results in a reduction in WG-axon contact. The deposition of LanA by WG is concentrated between WG and axons and is deposited preferentially around motor axons versus sensory axons. We identified Crag, a GDP-GTP exchange protein, as a factor that controls LanA deposition. We found that Dystroglycan also controls LanA deposition by the WG, and that both Dystroglycan and Dystrophin are present and necessary for WG ensheathment of axons. Thus, WG contain the highly conserved Dystroglycan/Dystrophin complex, which not only associates with deposited laminin but is necessary for the polarized deposition of laminin and the correct ensheathment of peripheral nerve axons.
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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) | 0.000 | 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".