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Record W2578005846 · doi:10.1042/bcj20160861

BST-2 restricts IAV release and is countered by the viral M2 protein

2017· article· en· W2578005846 on OpenAlexafffund
Siqi Hu, Lijuan Yin, Shan Mei, Jian Li, Fengwen Xu, Hong Sun, Xiaoman Liu, Shan Cen, Chen Liang, Ailing Li, Fei Guo

Bibliographic record

VenueBiochemical Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsTetherinInfluenza A virusHemagglutinin (influenza)Viral replicationBiologyVirologyVirusNeuraminidaseAntiviral proteinCell biologyViral proteinViral envelopeBiochemistryRNAGene

Abstract

fetched live from OpenAlex

BST-2 (tetherin, CD317, and HM1.24) is induced by interferon and restricts virus release by tethering the enveloped viruses to the cell surface. The effect of BST-2 on influenza A virus (IAV) infection has been inconclusive. In the present study, we report that BST-2 diminishes the production of IAV virus-like particles (VLPs) that are generated by viral neuraminidase and hemagglutinin proteins to a much greater degree than it inhibits the production of wild-type IAV particles. This relatively weaker inhibition of IAV is associated with reduction in BST-2 levels, which is caused by the M2 protein that interacts with BST-2 and leads to down-regulation of cell surface BST-2 via the proteasomal pathway. Similarly to the viral antagonist Vpu, M2 also rescues the production of human immunodeficiency virus-1 VLPs and IAV VLPs in the presence of BST-2. Replication of wild-type and the M2-deleted viruses were both inhibited by BST-2, with the M2-deleted IAV being more restricted. These data reveal one mechanism that IAV employs to counter restriction by BST-2.

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)0.0000.000
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 head0.063
GPT teacher head0.372
Teacher spread0.309 · 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

Citations37
Published2017
Admission routes2
Has abstractyes

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