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Cloning and expression analysis of rainbow trout <i>Oncorhynchus mykiss</i> tumour necrosis factor‐α

2001· article· en· W1484217840 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

VenueEuropean Journal of Biochemistry · 2001
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRainbow troutCloning (programming)FisheryBiologyZoologyFish <Actinopterygii>Computer science

Abstract

fetched live from OpenAlex

A rainbow trout (Oncorhynchus mykiss) gene for tumor necrosis factor (TNF) has been cloned and sequenced. The cDNA contains an open reading frame of 738 nucleotides that translate into a 246 amino-acid putative peptide, with a 5' untranslated region (UTR) of 140 bp and a 3' UTR of 506 bp. Two potential N-linked glycosylation sites exist in the translation. The genomic sequence measures 2007 bp and contains three introns that intercept four coding exons. Expression studies using RT-PCR have shown that the trout TNF gene is constitutively expressed in the gill and kidney of unstimulated fish. Trout TNF expression could be up-regulated by stimulation of isolated head kidney leucocytes with lipopolysaccharide (LPS). Similarly, stimulation of a trout macrophage cell line (RTS11) with LPS resulted in an increased transcript level, as did incubation with recombinant trout interleukin (IL)-1 beta. The optimal timing for induction of TNF expression in trout macrophages was determined using recombinant trout IL-1 beta, where a clear induction was apparent by 2 h and peaked at 4 h. Evidence that this TNF gene is equivalent to mammalian TNF-alpha is discussed.

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 score0.018
Threshold uncertainty score0.586

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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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