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Molecular cloning, expression and functional characterization of the <i>cytochrome P450 2A6</i> gene in pig liver*

2004· article· en· W2140561987 on OpenAlexaff
Yanping Lou, E. James Squires

Bibliographic record

VenueAnimal Genetics · 2004
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSkatoleBiologyCYP2A6Boar taintGeneCloning (programming)Cytochrome P450GeneticsEndocrinologyMetabolismBiochemistry

Abstract

fetched live from OpenAlex

Raising intact male pigs would have a significant economic impact on the pork industry because intact males have improved feed efficiency and a greater lean yield of the carcass compared with barrows. However, the presence of skatole, a major cause of boar taint, in meat from intact male pigs could be highly objectionable to consumers. It has been shown that CYP2A6 is a key enzyme in the hepatic metabolism of skatole and that the activity of CYP2A6 is negatively correlated with skatole accumulation in fat. The aim of this study was to isolate and characterize CYP2A6 from pig liver, as well as identify genetic polymorphisms in the CYP2A6 gene, and examine the association between these polymorphisms and skatole level. We identified a single base deletion in CYP2A6, resulting in a frame shift in the coding region that produces a non-functional enzyme, which was associated with high levels of skatole in fat 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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.054
GPT teacher head0.344
Teacher spread0.290 · 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

Citations36
Published2004
Admission routes1
Has abstractyes

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