Examining Protein Localization in<i>Aedes aegypti</i>Cells, Tissues, and Organs: Whole-Mount Immunohistochemistry
Bibliographic record
Abstract
Immunohistochemistry (IHC) is a powerful technique used for visualizing cellular components and determining the presence and/or location of proteins or other macromolecules in tissue samples. The classical IHC process involves the detection of epitopes using a highly specific primary antibody. This is followed by a secondary antibody that is coupled to a reporter molecule or fluorophore and capable of binding to the primary antibody and allowing for protein immunodetection. Although IHC does not routinely provide quantitative results compared to an enzyme-linked immunoassay or western blotting, it permits the localization of the proteins in intact tissues. This protocol describes an IHC assay for whole-body Aedes aegypti mosquito tissues that is used to detect small proteins, specifically neuropeptide hormones. This method is useful for protein detection in whole-mount preparations; however, cross-section IHC is recommended to determine if a protein is localized in the apical versus basolateral membrane of tissues/organs or to visualize immunological distribution in larger, more complex preparations.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".