Growth and Turning Properties of Adult Glial Cell–Derived Neurotrophic Factor Coreceptor α1 Nonpeptidergic Sensory Neurons
Bibliographic record
Abstract
An overlapping population of adult primary sensory neurons that innervate the skin express the glial cell-derived neurotrophic factor coreceptor α1 (GFRα1), the lectin IB4, and the "regenerative brake" phosphatase and tensin homolog deleted on chromosome 10. Using an adapted turning and growth assay, we analyzed the growth cone behavior of adult immunoselected GFRα1 sensory neurons. These neurons had less robust baseline growth and reluctant responsiveness to individual growth factors but responded to synergistic types of input from glial cell-derived neurotrophic factor, hepatocyte growth factor, a phosphatase and tensin homolog deleted on chromosome 10 inhibitor, or a downstream Rho kinase inhibitor. Hepatocyte growth factor and the phosphatase and tensin homolog deleted on chromosome 10 inhibitor were associated with growth cone turning. A gradient of protein extracted from skin samples, a primary target of GFRα1 axons, replicated the impact of synergistic support. Within the skin, glial cell-derived neurotrophic factor was expressed within epidermal axons, indicating an autocrine role accompanying local hepatocyte growth factor synthesis. Taken together, our findings identify unique growth properties and plasticity of a distinct population of epidermal axons that are relevant to neurologic repair and skin reinnervation.
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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".