A profile of the insulin receptor in cultured hippocampal slices.
Bibliographic record
Abstract
OBJECTIVES: Insulin receptors (IRs) are distributed in a region-specific fashion throughout the brain, and may play a role in processes related to learning and memory. The hippocampus, which participates in spatial memory formation, is one region in which the IR is abundantly expressed. Organotypic hippocampal slice cultures (OHSCs) are an in vitro model that permits the easy manipulation of growth conditions, yet retains much of the source structure's cytoarchitecture. To assess OHSCs as a model for the study of hippocampal IRs, ligand-binding and the expression and cellular distribution of the β-subunit (which transduces the insulin signal) were examined over time in culture. Design & Results: Fluorescently conjugated insulin was used to assess neural insulin receptor binding, and revealed that labelling remained similar over three weeks in culture (a typical length of OHSC maintenance). Cross-linking of surface proteins helped to show that approximately half of β-subunits were found at the cell surface, and that this relative proportion remained stable over several weeks. In contrast, expression of the β-subunit protein progressively declined to a plateau approximately 60% less than that seen when the cultures were prepared. CONCLUSIONS: Our results provide a foundation for subsequent studies to employ OHSCs to explore neural IRs; for instance, the dissonance between the progressive decline in expression of the IR β-subunit and the relative stability of receptor-mediated binding suggests the presence of an active process to hold steady the ability of cells to respond to insulin stimulation.
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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 | 0.001 |
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".