Immunofluorescence of GFAP and TNF-α in the Mouse Hypothalamus
Bibliographic record
Abstract
Immunofluorescence is a reliable method for identifying specific proteins in neuronal and glial cell populations of the hypothalamus. Several immunofluorescence protocols are available to detect protein markers and neuropeptides in the hypothalamus; however, published methods may vary in subtle details that can potentially impact the final outcome of the procedure. Here, we provide a detailed protocol suitable for thin cryostat sections, which has been successful for specific antibodies directed against key markers of hypothalamic neurons and glial cells. We include every detail concerning brain tissue collection, processing, sectioning, and labeling with optimal dilutions of antibodies with the aim of reducing non-specific background. Our background-optimized immunostaining protocol has been routinely used in the lab and allows efficient detection of specific neuropeptides, glial cells, and markers of inflammation and endoplasmic reticulum stress in the hypothalamus.
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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 | 0.000 | 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".