Corticospinal tract regeneration after spinal cord injury in receptor protein tyrosine phosphatase sigma deficient mice
Bibliographic record
Abstract
Receptor protein tyrosine phosphatase sigma (RPTPsigma) plays a role in inhibiting axon growth during development. It has also been shown to slow axon regeneration after peripheral nerve injury and inhibit axon regeneration in the optic nerve. Here, we assessed the ability of the corticospinal tract (CST) axons to regenerate after spinal hemisection and contusion injury in RPTPsigma deficient (RPTPsigma(-/-)) mice. We show that damaged CST fibers in RPTPsigma(-/-) mice regenerate and appear to extend for long distances after a dorsal hemisection or contusion injury of the thoracic spinal cord. In contrast, no long distance axon regeneration of CST fibers is seen after similar lesions in wild-type mice. In vitro experiments indicate that cerebellar granule neurons from RPTPsigma(-/-) mice have reduced sensitivity to the inhibitory effects of chondroitin sulfate proteoglycan (CSPG) substrate, but not myelin, which may contribute to the growth of CST axons across the CSPG-rich glial scar. Our data suggest that RPTPsigma may function to prevent axonal growth after injury in the adult mammalian spinal cord and could be a target for promoting long distance regeneration after spinal cord injury.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".