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Record W4389799719 · doi:10.1101/pdb.prot108281

Examining Protein Localization in<i>Aedes aegypti</i>Cells, Tissues, and Organs: Whole-Mount Immunohistochemistry

2023· article· en· W4389799719 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
FieldAgricultural and Biological Sciences
TopicPhytoplasmas and Hemiptera pathogens
Canadian institutionsYork University
Fundersnot available
KeywordsImmunohistochemistryPrimary and secondary antibodiesBiologyAntibodyBlotAedes aegyptiEpitopeMolecular biologyBiochemistryImmunology

Abstract

fetched live from OpenAlex

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.249
Teacher spread0.221 · 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