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Record W2112449136 · doi:10.1086/520582

Ebola Virus (EBOV) VP24 Inhibits Transcription and Replication of the EBOV Genome

2007· article· en· W2112449136 on OpenAlexfundno aff
Shinji Watanabe, Takeshi Noda, Peter Halfmann, Luke D. Jasenosky, Yoshihiro Kawaoka

Bibliographic record

VenueThe Journal of Infectious Diseases · 2007
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsnot available
FundersCore Research for Evolutional Science and TechnologyNational Institute of Allergy and Infectious DiseasesJapan Science and Technology AgencyCanadian Institutes of Health ResearchPublic Health Agency of CanadaNational Institutes of HealthPublic Health Agency
KeywordsEbola virusTranscription (linguistics)VirologyVP40EbolavirusRibonucleoproteinViral replicationBiologyNucleoproteinRNAMessenger RNALuciferaseVirusGeneTransfectionGenetics

Abstract

fetched live from OpenAlex

The roles of Ebola virus (EBOV) VP24 in nucleocapsid (NC) formation and the effect of VP24 on transcription and replication of the viral genome during NC formation remain unknown. We therefore examined the effect of VP24 on the expression of a reporter gene (luciferase), viral RNA, and messenger RNA from the EBOV minigenome. VP24 inhibited the expression of luciferase and both RNAs in a dose-dependent manner, suggesting that VP24 inhibits transcription and replication of the EBOV genome. By contrast, FLAG-tagged VP24, which cannot support NC-like structure formation, did not appreciably decrease luciferase expression, indicating that association of VP24 with the ribonucleoprotein complex is required for inhibition. Glycoprotein and VP40 did not affect VP24-mediated inhibition of transcription and replication. Together, these results suggest that VP24 reduces transcription and replication of the EBOV genome by direct association with the ribonucleoprotein complex in virus-infected cells.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.196

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.015
GPT teacher head0.299
Teacher spread0.283 · 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

Citations120
Published2007
Admission routes1
Has abstractyes

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