Neuronal expression of Nogo‐A mRNA and protein during neurite outgrowth in the developing rat olfactory system<sup>†</sup>
Bibliographic record
Abstract
The major impediments to axonal regeneration in the central nervous system are growth-inhibitory proteins present in the myelin sheath, and Nogo-A is one of the most potent inhibitors synthesized by oligodendrocytes. However, neuronal expression of Nogo-A during development suggests that it may have an additional role. The spatio-temporal regulation of both Nogo-A mRNA and protein expression was examined by in situ hybridization and immunohistochemistry in the developing rat olfactory system. During embryonic and postnatal development (from E13 to P6), Nogo-A mRNA and protein were strongly expressed by differentiating neurons in the olfactory epithelium and in the olfactory bulb. From the second postnatal week, a progressive down-regulation of both Nogo-A mRNA and protein occurred, such that only a weak expression persisted in the adult olfactory system. Using double-immunostainings in the adult olfactory epithelium, we determined that Nogo-A was preferentially expressed by immature olfactory receptor neurons extending axonal processes toward the olfactory bulb. At all developmental stages, Nogo-A protein was preferentially targeted in olfactory axons emerging from the olfactory epithelium. Using an in vitro model of olfactory axon growth, we demonstrated that, in addition to its presence along the entire axon length, Nogo-A accumulated in axonal growth cone and at axonal branching points, with a distribution similar to that of microtubule-associated proteins. Moreover, Nogo-A was transiently expressed in dendritic processes in the postnatal olfactory bulb. Together, our data suggest that, in non-pathological conditions, Nogo-A may be involved in the processes of axonal growth and dendritic modeling through the regulation of microtubule dynamics.
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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) | 0.001 | 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".