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Record W4393187116 · doi:10.1016/j.apsb.2024.03.029

Interferon-induced MXB protein restricts vimentin-dependent viral infection

2024· article· en· W4393187116 on OpenAlexaff
Dongrong Yi, Ni An, Quanjie Li, Qian Liu, Huihan Shao, Rui Zhou, Jing Wang, Yongxin Zhang, Ling Ma, Fei Guo, Xiaoyu Li, Zhenlong Liu, Shan Cen

Bibliographic record

VenueActa Pharmaceutica Sinica B · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsJewish General Hospital
FundersNational Medical Research CouncilNational Natural Science Foundation of China
KeywordsInterferonBiologyVimentinVirusVirologyViral replicationIntracellularCell biologyImmunology

Abstract

fetched live from OpenAlex

Type I interferon (IFN) inhibits a wide spectrum of viruses through stimulating the expression of antiviral proteins. As an IFN-induced protein, myxovirus resistance B (MXB) protein was reported to inhibit multiple highly pathogenic human viruses. It remains to be determined whether MXB employs a common mechanism to restrict different viruses. Here, we find that IFN alters the subcellular localization of hundreds of host proteins, and this IFN effect is partially lost upon MXB depletion. The results of our mechanistic study reveal that MXB recognizes vimentin (VIM) and recruits protein kinase B (AKT) to phosphorylate VIM at amino acid S38, which leads to reorganization of the VIM network and impairment of intracellular trafficking of virus protein complexes, hence causing a restriction of virus infection. These results highlight a new function of MXB in modulating VIM-mediated trafficking, which may lead towards a novel broad-spectrum antiviral strategy to control a large group of viruses that depend on VIM for successful replication.

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 score0.002

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 head0.041
GPT teacher head0.339
Teacher spread0.298 · 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

Citations7
Published2024
Admission routes1
Has abstractyes

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Same venueActa Pharmaceutica Sinica BSame topicinterferon and immune responsesFrench-language works237,207