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Record W2394802885 · doi:10.1385/1-59259-789-0:051

Construction of Recombinant Vaccinia Viruses Using Leporipoxvirus-Catalyzed Recombination and Reactivation of Orthopoxvirus DNA

2004· review· en· W2394802885 on OpenAlexaff
Xiao-Dan Yao, David H. Evans

Bibliographic record

VenueHumana Press eBooks · 2004
Typereview
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsUniversity of AlbertaUniversity of Guelph
Fundersnot available
KeywordsVacciniaVirologyBiologyVirusRecombinant DNARecombinant virusOrthopoxvirusPoxviridaeMolecular biologyGeneGenetics

Abstract

fetched live from OpenAlex

Poxvirus DNA is not infectious because the initiation of the infective process requires proteins encapsidated along with the virus genome. However, infectious virus can be produced if purified poxvirus DNA is transfected into cells previously infected with another poxvirus. This process is termed heterologous reactivation if the infecting virus is different from the transfected virus. We describe a method in which the high-frequency recombination and replication reactions catalyzed by the Leporipoxvirus, Shope fibroma virus (SFV), can be coupled with SFV-promoted reactivation reactions to rapidly construct recombinant vaccinia viruses in high yields (25-100% recombinant progeny). The reactivated vaccinia viruses are easily purified free of the SFV helper virus by plating mixed populations of virus on cells that support only the growth of vaccinia virus. These heterologous reactivation reactions can be used to manipulate the structure of virus genomes and produce viruses that express recombinant proteins at high levels. We illustrate the method by polymerase chain reaction (PCR) cloning the gene encoding green fluorescent protein (GFP), then using double-strand break repair reactions to produce a recombinant virus that expresses high levels of GFP.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.138
GPT teacher head0.358
Teacher spread0.220 · 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 designOther design
Domainnot available
GenreReview

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

Citations11
Published2004
Admission routes1
Has abstractyes

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