Deposition pattern and subcellular distribution of disease-associated prion protein in cerebellar organotypic slice cultures infected with scrapie
Bibliographic record
Abstract
Organotypic cerebellar slices represent a suitable model for characterizing and manipulating prion replication in complex cell environments. Organotypic slices recapitulate prion pathology and are amenable to drug testing in the absence of a blood-brain-barrier. So far, the cellular and subcellular distribution of disease-specific prion protein in organotypic slices is unclear. Here we report the simultaneous detection of disease-specific prion protein and central nervous system markers in wild-type mouse cerebellar slices infected with mouse-adapted prion strain 22L. The disease-specific prion protein distribution profile in slices closely resembles that in vivo, demonstrating granular spot like deposition predominately in the molecular and Purkinje cell layers. Double immunostaining identified abnormal prion protein in the neuropil and associated with neurons, astrocytes and microglia, but absence in Purkinje cells. The established protocol for the simultaneous immunohistochemical detection of disease-specific prion protein and cellular markers enables detailed analysis of prion replication and drug efficacy in an ex vivo model of the central nervous system.
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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 | 0.001 |
| 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".