MétaCan
Menu
Back to cohort
Record W4293103790 · doi:10.4049/jimmunol.2100983

Zebrafish sirt5 Negatively Regulates Antiviral Innate Immunity by Attenuating Phosphorylation and Ubiquitination of mavs

2022· article· en· W4293103790 on OpenAlexaff
Xiaoyun Chen, Sijia Fan, Chunchun Zhu, Qian Liao, Jinhua Tang, Guangqing Yu, Xiaolian Cai, Gang Ouyang, Wuhan Xiao, Xing Liu

Bibliographic record

VenueThe Journal of Immunology · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsMinistry of Agriculture
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsZebrafishUbiquitinInnate immune systemBiologyCell biologyPhosphorylationGeneReceptorGenetics

Abstract

fetched live from OpenAlex

Abstract The signaling adaptor MAVS is a critical determinant in retinoic acid–inducible gene 1–like receptor signaling, and its activation is tightly controlled by multiple mechanisms in response to viral infection, including phosphorylation and ubiquitination. In this article, we demonstrate that zebrafish sirt5, one of the sirtuin family proteins, negatively regulates mavs-mediated antiviral innate immunity. Sirt5 is induced by spring viremia of carp virus (SVCV) infection and binds to mavs, resulting in attenuating phosphorylation and ubiquitination of mavs. Disruption of sirt5 in zebrafish promotes survival ratio after challenge with SVCV. Consistently, the antiviral responsive genes are enhanced, and the replication of SVCV is diminished in sirt5-dificient zebrafish. Therefore, we reveal a function of zebrafish sirt5 in the negative regulation of antiviral innate immunity by targeting mavs.

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)0.002
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 score0.025
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.230
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 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

Citations12
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of ImmunologySame topicinterferon and immune responsesFrench-language works237,207