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Record W119623166 · doi:10.1007/978-1-61779-352-3_4

Expression of a Secreted Protein in Mammalian Cells Using Baculovirus Particles

2011· article· en· W119623166 on OpenAlexaff
Barbara Jardin, Cynthia B. Elias, Satya Prakash

Bibliographic record

VenueMethods in molecular biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsSanofi (Canada)McGill University
Fundersnot available
KeywordsRecombinant DNATransduction (biophysics)BiologyCell biologyProtein expressionComputational biologyIn vitroCell cultureGeneGene expressionBaculoviridaeGeneticsBiochemistrySpodoptera

Abstract

fetched live from OpenAlex

There are many methods presently available to produce recombinant proteins in mammalian systems. The BacMam system is a simple straightforward method which overlaps two well-established technologies, namely the BEVS insect cell system and the transduction of mammalian cells in vitro. This chapter describes a method for the study of gene expression in mammalian cells in a series of simple steps. Protocols outlined include the design and construction of the recombinant baculovirus, cell culture techniques required to maintain both insect and mammalian cells, generation of baculovirus stocks, and methods to obtain maximal and reproducible gene expression in mammalian cells. Currently available statistical techniques using factorial design of experiment to optimize conditions for recombinant protein in vitro are outlined. Then details with respect to process scale-up in disposable bioreactors are included.

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)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.040
GPT teacher head0.365
Teacher spread0.325 · 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
GenreMethods

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

Citations8
Published2011
Admission routes1
Has abstractyes

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