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Immunocytochemical localization of pleurocidin to the cytoplasmic granules of eosinophilic granular cells from the winter flounder gill

2007· article· en· W2112991305 on OpenAlexaff
Harry M. Murray, Cindy Leggiadro, Susan E. Douglas

Bibliographic record

VenueJournal of Fish Biology · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsInstitute for Marine Biosciences
Fundersnot available
KeywordsBiologyCytoplasmImmunogold labellingEndoplasmic reticulumCell biologyGolgi apparatusImmunocytochemistryUltrastructureAnatomy

Abstract

fetched live from OpenAlex

The teleost gill is considered to be of significant immunological importance, as it is one of the first tissues exposed to environmental or pathogenic challenge and thus should be well equipped to mount an effective immune response. This study characterizes ultrastructurally and immunocytochemically a tissue granulocyte (eosinophilic granular cell) from the winter flounder gill that was previously determined to be involved in the gene expression and synthesis of a known antimicrobial peptide (pleurocidin). The cell is irregular in shape with a cytoplasm characterized by numerous large, electron‐dense, membrane‐bounded granules. The nucleus is euchromatic and closely associated with a prominent rough endoplasmic reticulum. The cytoplasm typically contains two to three mitochondria and a centralized Golgi apparatus surrounded by numerous electron‐lucent vesicles. Immunogold staining of the cells with an anti‐pleurocidin antibody shows large number of gold particles in direct association with the electron‐dense granules. These data provide the first evidence definitively showing storage of an antimicrobial peptide in the cytoplasmic granules of an eosinophilic granule cell resident in gill tissue.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.233
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations51
Published2007
Admission routes1
Has abstractyes

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