Mutations in Reelin pathway are associated with abnormal expression of microglial IgG FC receptors in the cerebellar cortex
Bibliographic record
Abstract
Abstract Introduction: Microglia are the immune cells of the central nervous system that are involved in a variety of developmental processes such as regulation of cell death and survival, spatial patterning, and contribute to the development of Purkinje cells during migration. Microglia express immunoglobulin G Fc receptors (FcgRs). Hypothesis: In this report, we describe microglial FcgR expression in the cerebellum during development related to abnormal Purkinje cell migration. Method: To detect microglial FcgR, the direct anti-IgG (secondary antisera) and high concentrations of Triton X-100 were applied as a method for labeling microglial cells without the use of any specific primary antiserum. By using the Acp2 -/- mice, which show an excessive Purkinje cell migration into the molecular layer combined with the different knockout mice altering the Reelin pathway (Reeler, Scrambler, and Apoer2 -/- mice), that Purkinje cells are ectopically located in white matter. Result: We show the expression of microglial FcgRs in the cerebellum of these mice is absent, but not in the Acp2 -/- mice . Discussion: These results suggest a role for FcgRs in reelin signaling pathway, not related to Purkinje cell migration, but may be an adaptation to the environment with the large number of ectopic Purkinje cells. Conclusion: However, the exact correlation between the ectopic Purkinje cells presence and FcgRs absence in reeler, Scrambler, Apoer -/- mice and the presence of FcgRs in Acp2 -/- mutant are yet to be determined.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".