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Record W2162321811 · doi:10.1086/520584

Basolateral Budding of Marburg Virus: VP40 Retargets Viral Glycoprotein GP to the Basolateral Surface

2007· article· en· W2162321811 on OpenAlexfundno aff
Larissa Kolesnikova, E. I. Ryabchikova, А. М. Шестопалов, Stephan Becker

Bibliographic record

VenueThe Journal of Infectious Diseases · 2007
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Institutes of HealthNational Institute for Health and Care ResearchPublic Health Agency of Canada
KeywordsMarburg virusBuddingVP40GlycoproteinEpithelial polarityFiloviridaeViral matrix proteinVirologyBiologyVirusMembrane glycoproteinsCell biologyViral entryMononegaviralesEpitheliumEbola virusViral replicationMolecular biologyViral diseaseParamyxoviridae

Abstract

fetched live from OpenAlex

Virus budding from the basolateral domain of infected polarized cells could be one of the mechanisms underlying the quick systemic infection induced by Marburg virus (MARV). We found that MARV buds from the basolateral pole of hepatocytes and bile epithelial cells in infected guinea pigs, which leads to the release of infectious virus into the vascular system. Basolateral budding might be orchestrated by the basolaterally located MARV matrix protein VP40, which induces a partial relocalization of MARV glycoprotein from the apical to the basolateral plasma membrane. This redistribution is a prerequisite for budding of infectious virions from the basolateral domain.

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 communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.298
Teacher spread0.287 · 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

Citations55
Published2007
Admission routes1
Has abstractyes

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