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Record W4389799723 · doi:10.1101/pdb.prot108282

Examining Apical or Basolateral Protein Localization in<i>Aedes aegypti</i>Tissues: Cross-Section Immunohistochemistry

2023· article· en· W4389799723 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCold Spring Harbor Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsYork University
Fundersnot available
KeywordsImmunohistochemistryPrimary and secondary antibodiesAntibodyBiologyStainingEpitopeMolecular biologyBlotPathologyBiochemistryImmunologyMedicine

Abstract

fetched live from OpenAlex

Immunohistochemistry (IHC) is an important technique that permits visualization of cellular components and for determining the presence and/or distribution of proteins or other macromolecules in tissue samples. Normally, IHC involves the detection of epitopes using an antigen-specific primary antibody and a secondary antibody coupled with a reporter molecule or fluorophore that can bind to the primary antibody, allowing for the spatial distribution of a protein of interest to be detected. Although normally IHC does not provide quantitative results compared to techniques such as enzyme-linked immunoassay or western blotting, it permits the localization, expression mapping, and distribution of target proteins in intact tissues. Here, we describe an IHC protocol for examining apical versus basolateral protein staining through sectioning tissue samples from fixed, embedded tissues (e.g., IHC-paraffin) and adding primary antibodies against a target protein. This IHC protocol provides a guide for tissue fixation, sectioning, and staining of tissue samples.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.674
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.342
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it