Compartmentation of the mouse cerebellar cortex by sphingosine kinase
Bibliographic record
Abstract
Classic cerebellar anatomy is based on the characteristic array of lobes and lobules. However, there is substantial evidence to suggest that more fundamental architecture is built around arrays of parasagittal stripes, which encompass both the inputs and outputs of the Purkinje cells (PCs). Sphingosine kinase (SPHK) is an enzyme that converts sphingosine (Sph) into sphingosine-1-phosphate (S1P). Recent reports have indicated that ceramide, Sph, and S1P play a role in cell survival, growth, and differentiation in several cell types, including neurons. In this study, we examined the localization of SPHK in the mouse cerebellum by using immunohistochemistry. Anti-SPHK immunoreactivity appeared in the cerebellar molecular layer and the PC membranes. The staining pattern is striped. In the molecular layer, the staining pattern probably reflects dendritic spines and dendrites. By electron microscopy, peroxidase reaction product was deposited within dendrites especially along the plasma membranes near spines. Seen at higher magnification, the staining was in and near the postsynaptic complexes. By double immunostaining, the striped pattern of SPHK expression was shown to be identical to that revealed by anti-zebrin II, although the subcellular distribution within PC's is not. This is the first demonstration of the cerebellar compartmentation of an enzyme related to lipid metabolism, and as such, it provides an insight into the roles of SPHK and formation of S1P. The selective expression of SPHK in the zebrin II-immunoreactive PCs may explain their resistance to cell death when ceramide metabolism is disrupted, as in the acid sphingomyelinase knockout model of Niemann-Pick type A/B disease.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".