Schwann cells direct peripheral nerve regeneration through the Netrin-1 receptors, DCC and Unc5H2
Why this work is in the frame
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Bibliographic record
Abstract
In the peripheral nervous system, Schwann cells (SCs) promote nerve regeneration by the secretion of trophic support molecules and the establishment of a supportive growth matrix. Elucidating factors that promote SC outgrowth following nerve injury is an important strategy for improving nerve regeneration. We identified the Netrin-1 receptors, Deleted in Colorectal Cancer (DCC) and Uncoordinated (Unc)5H2 as SC receptors that influence nerve regeneration by respectively promoting or inhibiting SC outgrowth. Significantly, we show both DCC and Unc5H2 receptors are distributed within SCs. In adult nerves, DCC is localized to the paranodes and Schmidt-Lantermann incisures of myelinating SCs, as well as along unmyelinated axons. After axotomy, DCC is prominently expressed in activated SCs at the regenerating nerve front. In contrast, Unc5H2 receptor is robustly distributed in myelinating SCs of the intact nerve and it is found at low levels in the SCs of the injury site. Local in vivo DCC siRNA mRNA knockdown at the growing tip of an injured nerve impaired SC activation and, in turn, significantly decreased axon regeneration. This forced DCC inhibition was associated with a dramatic reciprocal upregulation of Unc5H2 in the remaining SCs. Local Unc5H2 knockdown at the injury site, however, facilitated axon regrowth, indicating it has a role as an intrinsic brake to peripheral nerve regeneration. Our findings demonstrate that in adult peripheral nerves, SCs respond to DCC and Unc5H2 signaling, thereby promoting or hindering axon outgrowth and providing a novel mechanism for SC regulation during nerve regeneration.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 it