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Record W2533523574 · doi:10.1139/cjas-2015-0210

Ferritin heavy polypeptide 1 mediates apoptosis-related gene expression of duck (<i>Anas platyrhynchos domesticus</i>)

2016· article· en· W2533523574 on OpenAlexvenueno aff
Yang Chen, Yiyu Tong, Yang Li, Ran Liu, Qi Xu, Guobin Chang, Guohong Chen

Bibliographic record

VenueCanadian Journal of Animal Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsnot available
FundersNatural Science Foundation of Jiangsu ProvinceNational Science Foundation
KeywordsApoptosisBiologyEctopic expressionFerritinGeneGene expressionDownregulation and upregulationMessenger RNAMolecular biologyBiochemistry

Abstract

fetched live from OpenAlex

Duck hepatitis virus type 1 (DHV-1) infection of ducklings causes hepatitis and is associated with high morbidity and mortality. Virus infection may induce apoptosis and inhibit proliferation. In humans, ferritin heavy polypeptide 1 (FTH1) has been reported to affect the development of hepatitis and inhibit apoptosis. However, the effect of duck FTH1 (duFTH1) on apoptosis in DHV-1 infected ducklings has not been investigated. Therefore, we measured duFHT1 expression in tissues of DHV-1 infected ducklings and characterized the functional effects of ectopic overexpression and endogenous downregulation of FTH1 in duck embryo fibroblasts (DEF) to elucidate possible mechanisms involved. In the present study, the expression of duFTH1 was decreased in liver and spleen after DHV-1 infection. The effects of altered FTH1 expression on expression of pro- and anti-apoptotic genes were evaluated by qPCR arrays. Decreased expressions of Caspase-3 and Caspase-8 were observed in FTH1-overexpressing DEF cells, while decreased expression of Bcl-2 was detected in FTH1 knocked down DEF cells. Our findings suggest that the regulation of FTH1 expression indirectly mediated the expression of apoptosis-related genes; the protective effect of FTH1 was associated with the inhibition of apoptosis in DEF.

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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.325
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.223
Teacher spread0.206 · 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 teacher head, 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

Citations2
Published2016
Admission routes1
Has abstractyes

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