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 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 | 0.013 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.006 |
| 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".