MétaCan
Menu
Back to cohort

New Protocol for Lentiviral Vector Mass Production

2009· article· en· W70110460 on OpenAlexaff
María Mercedes Segura, Alain Garnier, Yves Durocher, Sven Ansorge, Amine Kamen

Bibliographic record

VenueMethods in molecular biology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversité LavalBiotechnology Research Institute
Fundersnot available
KeywordsTransfectionViral vectorPolyethylenimineChemistryChromatographyHEK 293 cellsCell cultureMolecular biologyBiologyRecombinant DNABiochemistryGeneGenetics

Abstract

fetched live from OpenAlex

Multiplasmid transient transfection is the most widely used technique for the generation of lentiviral vectors. However, traditional transient transfection protocols using 293 T adherent cells and calcium phosphate/DNA co-precipitation followed by ultracentrifugation are tedious, time-consuming, and difficult to scale up. This chapter describes a streamlined protocol for the fast mass production of lentiviral vectors and their purification by affinity chromatography. Lentiviral particles are generated by transient transfection of suspension growing HEK 293 cells in serum-free medium using polyethylenimine (PEI) as transfection reagent. Lentiviral vector production is carried out in Erlenmeyer flasks agitated on orbital shakers requiring minimum supplementary laboratory equipment. Alternatively, the method can be easily scaled up to generate larger volumes of vector stocks in bioreactors. Heparin affinity chromatography allows for selective concentration and purification of lentiviral particles in a singlestep directly from vector supernatants. The method is suitable for the production and purification of different vector pseudotypes.

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: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.098
Threshold uncertainty score0.834

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 head0.046
GPT teacher head0.471
Teacher spread0.425 · 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
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

Citations45
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueMethods in molecular biologySame topicVirus-based gene therapy researchFrench-language works237,207