Olfactory ensheathing cells promote corticospinal axonal outgrowth by a L1 CAM‐dependent mechanism
Bibliographic record
Abstract
Olfactory ensheathing cells (OECs) support the ability of the olfactory neuraxis to continually retarget within the mature central nervous system. This has led many groups to transplant OECS into the lesioned rodent spinal cord (SCd) in vivo, with variable degrees of anatomical, physiological, and behavioral success. Some of the most conflicting results in OEC transplantation have come from the corticospinal tract (CST) which has shown a relatively poor regeneration response. Although spinal neurite sprouting occurs in response to OECs in vivo and in vitro, we do not know if OECs possess the molecular machinery to stimulate outgrowth of functionally important motor tracts like the CST. Here, we assay cultured postnatal day 8 mouse CST neurons expressing yellow fluorescent protein (YFP) for their ability to extend axons and dendrites in response to different glia, and show that CST axons elongate in response to proteins in OEC plasma membrane (PM). In contrast, CST dendritic branching preferentially occurs in response to factors secreted by both OECs and astrocytes. We identify the L1-neural cell adhesion molecule (L1-NCAM) as a major component of OEC-induced corticospinal axon elongation, and have determined that OEC PM factors (including L1), can stimulate CST outgrowth even when inhibition is induced by myelin associated glycoprotein. Together, these results suggest that in the right context, OEC-derived PM factors could enhance CST axonal regeneration, and potentially contribute to approaches to ameliorate recovery from SCd injury.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
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".