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Record W4409982990 · doi:10.1186/s13567-025-01521-z

MARCH8 promotes the proteasomal degradation of foot-and-mouth disease virus VP1, VP2, and VP3 to negatively regulate viral replication

2025· article· en· W4409982990 on OpenAlexaff
Mengge Yin, Xiangmin Li, Min Zhang, Qiongqiong Zhao, Hao‐Yuan Wang, Huiyan Zhang, Zengjun Lu

Bibliographic record

VenueVeterinary Research · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsMinistry of Agriculture
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsBiologyFoot-and-mouth disease virusVirologyViral replicationVirusReplication (statistics)Degradation (telecommunications)MicrobiologyCell biology

Abstract

fetched live from OpenAlex

The host cell membrane-associated RING-CH8 protein (MARCH8) functions as an antiviral host factor by targeting viral envelope glycoproteins. Foot-and-mouth disease virus (FMDV) is a non-enveloped, positive-sense, single-stranded RNA virus. The potential impact of MARCH8 on FMDV replication remains uncertain. Here, we found that the overexpression of MARCH8 significantly inhibited FMDV replication in a dose-dependent manner. Conversely, the knockdown of MARCH8 facilitated FMDV replication. Specifically, MARCH8 interacted with VP1, VP2, and VP3, mediating their degradation in a proteasome-dependent manner. MARCH8 catalyzed the K33-linked polyubiquitination of VP1, VP2, and VP3. Moreover, the Lys210 residue of VP1, the Lys63 residue of VP2, and the Lys118 residue of VP3 were identified as critical target sites for MARCH8-mediated degradation. Overall, we conclude that MARCH8 is an intrinsic antiviral factor against FMDV.

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 head0.130
GPT teacher head0.376
Teacher spread0.247 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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