Expression of the AMF/neuroleukin receptor in developing and adult brain cerebellum
Bibliographic record
Abstract
The peptide sequence of autocrine motility factor (AMF), a tumor secreted cytokine that induces cell motility, corresponds to that of the previously identified cytokine/enzyme, neuroleukin/glucose-6-phosphate isomerase. Neuroleukin is a neurotrophic factor that promotes neuronal survival and sprouting at the neuromuscular junction. The AMF receptor (AMF-R) has been identified and shown to be highly expressed in malignant tumors with minimal expression in adjacent normal tissue. Neuroleukin mRNA is highly expressed in the cerebellum and we therefore undertook a developmental study of AMF-R expression in rat cerebellum. As determined by immunoblot, AMF-R is expressed at equivalent high levels in brain and cerebellum of postnatal day 5 (P5) and 12 (P12) rats and at significantly reduced levels in the adult. Coimmunofluorescence studies with MAP-2 and gamma-actin revealed that at P12, AMF-R was mainly localized to Purkinje and granule cells. Moreover, the premigratory cells of the external granular layer were also immunoreactive for AMF-R suggesting a role for AMF-R in granule cell migration during cerebellar development in the first two weeks after birth. In the adult, AMF-R distribution was similar to P12, although weaker, and was localized to Purkinje and granule cells. AMF-R labeling of GFAP positive glial processes could not be detected in cerebellar sections although in cerebellar primary cultures, both neurons and glial cells were labeled for AMF-R. In neurons, AMF-R labeling was present in the cell body, neurites and growth cones. These data indicate that regulation of the neurotrophic function of neuroleukin might be regulated spatially and temporally by expression of its receptor, AMF-R, in developing and adult cerebellum.
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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 | 0.001 | 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".