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Record W6991757928

Immediate and delayed suppression of type I interferon induction in porcine immune cells by Nipah virus Malaysia V protein

2019· dissertation· en· W6991757928 on OpenAlexafffund

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldMedicine
TopicVirology and Viral Diseases
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNucleofectionFusible alloyTSG101ProteogenomicsHyporeflexiaDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

Nipah virus Malaysia genotype (NiV-M) is an emerging zoonotic paramyxovirus. The non-structural P gene products of NiV-M (the V and W proteins) have been implicated in the block of type I interferon signaling, but live virus investigations of their roles in the porcine host are lacking. In this investigation, recombinant NiV-M that do not express either the V or W proteins were used to examine the relevance of these proteins to the induction of type I IFN in porcine immune cells. The V protein was found to be important to the production of infectious virus in porcine immune cells by limiting the production of type I IFNs both immediately after entry and later in the infectious cycle. Immunogold electron microscopy (IEM) imaging indicated that the NiV-M V and W proteins are incorporated into the NiV-M virion by attachments to the nucleocapsid. These findings show that the V protein of NiV-M suppresses type I IFN production throughout infection of porcine immune cells and demonstrate a mechanism by which NiV-M modulates the immune response in swine.

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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