Detection of p62 on Paraffin Sections by Immunohistochemistry
Bibliographic record
Abstract
The study of autophagy in human disease is a rapidly expanding field. Diagnostic paraffin sections of a variety of patient tissues, including bone marrow, are available to researchers-yet are unsuitable for traditional autophagy quantification methods such as western blot or electron microscopy. This protocol outlines the immunohistochemical detection of the protein p62 (sequestosome-1, encoded by the gene SQSTM1)-an indicator of autophagic degradative activity-in slide-mounted paraffin sections such as bone marrow samples cut by a trephine. The p62 protein is an autophagic cargo adaptor, capable of binding to ubiquitylated proteins as well as autophagosome membrane proteins (LC3B and GABA(A) receptor-associated protein [GABARAP] family members) and hypothesized thus to target protein aggregates for lysosomal degradation. p62 itself is degraded by autophagy, remaining at low levels when autophagy is induced, and has been shown to accumulate when autophagy is deficient. Qualitative assessment and comparison of p62 staining between healthy and disease sections or disease subtypes will help target further investigation into the potential roles for autophagy in a variety of disorders.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".