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Record W1998788663 · doi:10.1099/vir.0.012138-0

Transduction of vertebrate cells with Spodoptera exigua multiple nucleopolyhedrovirus F protein-pseudotyped gp64-null Autographa californica multiple nucleopolyhedrovirus

2009· article· en· W1998788663 on OpenAlexaff
Ian-Ling Yu, Ying‐Chu Lin, John H. Robinson, Oliver Lung

Bibliographic record

VenueJournal of General Virology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsMinistry of AgricultureUniversity of Lethbridge
Fundersnot available
KeywordsAutographa californicaBiologyTransduction (biophysics)SpodopteraVirologyCell cultureCell biologyMolecular biologyGeneRecombinant DNAGeneticsBiophysics

Abstract

fetched live from OpenAlex

Budded virions of the baculovirus Autographa californica multiple nucleopolyhedrovirus (AcMNPV) can enter a variety of non-host cells. The capacity of GP64, AcMNPV's endogenous envelope fusion protein, and SeF, the fusion protein from a gp64(-) baculovirus, to mediate baculovirus entry into vertebrate cells was examined by comparing the transduction efficiencies of engineered AcMNPV variants with either of the two envelope proteins into 17 vertebrate cell lines. At an m.o.i. of 500, GP64-expressing viruses transduced all cell lines with varying efficiencies. Transduction efficiencies of SeF-pseudotyped gp64-null AcMNPV into all cell lines were lower than those of GP64-expressing viruses, and were undetectable in seven cell lines. At an m.o.i. of 50, transduction of all mammalian cell lines transducible by the SeF-pseudotyped gp64-null AcMNPV at an m.o.i. of 500 was no longer detectable. An amplifiable SeF-pseudotyped gp64-null AcMNPV vector with greatly reduced tropism for vertebrate cells may have applications in engineering AcMNPV for targeted transduction.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.222
Teacher spread0.217 · 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.

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

Citations13
Published2009
Admission routes1
Has abstractyes

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