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Record W2562026289 · doi:10.1016/s1525-0016(16)33150-1

341. Nucleic Acid Delivery Using Vesicular Stomatitis Virus-Based Vesicles

2016· article· en· W2562026289 on OpenAlexaff
Mathias Mangion, Alexandre Audy, Igor Slivac, Rénald Gilbert, Bruno Gaillet

Bibliographic record

VenueMolecular Therapy · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsNational Research Council CanadaUniversité LavalStem Cell NetworkPROTEO
Fundersnot available
KeywordsTransfectionVesicular stomatitis virusNucleic acidPolyethylenimineElectroporationBiologyGene deliveryMolecular biologyVirusCell biologyBiochemistryVirologyGene

Abstract

fetched live from OpenAlex

Gene delivery methods are essential to understand fundamental cellular mechanisms and to develop new therapies. Recombinant viruses are efficient to transfer nucleic acids but their safety is a concern. In addition, some commercial transfection reagents (including lipids and cationic polymers) and electroporation methods are cytotoxic. Interestingly, the sole expression of G envelope protein of the vesicular stomatitis virus (VSV) in mammalian cells can lead to the formation of VSV-G pseudotyped vesicles (V-VSV-G). In presence of polybrene, these vesicles are able to transfer plasmids in a large panel of animal cells. Unfortunately, the production of V-VSV-G and their use for nucleic acid delivery is poorly documented. Here we propose to improve this promising method of transfection. At first we developed a V-VSV-G production process by transient transfection of HEK-293 cells using polyethylenimine (PEI). Three modes of production were compared: cells cultivated in adherence, in suspension and on micro-carriers. Also we demonstrated that the quantity of vesicles produced depends on the VSV-G sequence used. The harvest of V-VSV-G from cell culture media was also optimized. Then, several parameters potentially involved in the formation and the transfer efficiency of V-VSV-G/DNA complex were studied: polybrene concentration, order of addition of mix transfection components, incubation time of the complexes, medium of transfection, etc. Stability studies also demonstrated that V-VSV-G are robust particles: DNA transfer capacity of V-VSV-G is efficient after 10 freezing and thawing cycles and V-VSV-G can be stored for long term at +4 °C, -20 °C and -80 °C. Finally, V-VSV-G/DNA ratio was optimized for three different cell types. Transfection efficiency of 70 % and 55 % were obtained for HEK-293 and HeLa cells respectively, with 1 µg of V-VSV-G and 0.4 µg of DNA. Transfection of refractory cells such as human myoblasts, reached 25 % with 5 µg of V-VSV-G and 0.8 µg of DNA. V-VSV-G can also deliver large plasmids (18 kb). Furthermore, no cytotoxicity was observed in cells transfected with these complexes. Presently, the potential of V-VSV-G to transfer siRNA is investigated. In conclusion, V-VSV-G is a powerful tool for nucleic acid delivery which could be useful for several applications oriented toward cell and gene therapies.

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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.279
Teacher spread0.259 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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