Spatiotemporal distribution of neuronal calcium sensor‐1 in the developing rat spinal cord
Bibliographic record
Abstract
The present study revealed the localization of neuronal calcium sensor (NCS)-1 immunoreactivity (IR) in the developing rat spinal cord. The NCS-1 IR first appeared at embryonic day 12 in the peripheral nerves and their somata. Intense NCS-1 IR was expressed in ascending and descending tracts in the white matter during the late prenatal period, which gradually decreased to the faint level during postnatal development. Intense NCS-1 IR was colocalized with growth associated protein (GAP)-43 IR in the marginal zone and with the glutamate-aspartate transporter (GLAST) IR in the radial processes traversing the marginal zone. In the adult rat white matter, radially oriented astrocytes and astrocytes in the glia limitans were double-labeled for NCS-1 and glial fibrillary acidic protein (GFAP), whereas small dots on finger-like dendritic projections were double-labeled for NCS-1 and synaptophysin. In the developing gray matter, the NCS-1 IR appeared at embryonic day 12 and gradually increased in the neuronal somata and neuropil, reaching a plateau after the end of the 4th postnatal week. The small dots in neuropil were colabeled for NCS-1 and GFAP or NCS-1 and synaptophysin in the adult rat gray matter. These results strongly suggest that NCS-1 is involved in axogenesis and synaptogenesis in the developing rat spinal cord. NCS-1 can serve as a Ca(2+)-sensor not only in neurons but also in radial glial cells or even in radially oriented astrocytes in the adult rat spinal cord.
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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 | 0.000 |
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".