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Record W2954536666 · doi:10.1016/j.omtm.2019.05.013

Generation of High-Titer Self-Inactivated γ-Retroviral Vector Producer Cells

2019· article· en· W2954536666 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMolecular Therapy — Methods & Clinical Development · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick ChildrenUniversité Laval
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health Research
KeywordsTiterVirologyViral vectorVector (molecular biology)BiologyVirusGeneticsGeneRecombinant DNA

Abstract

fetched live from OpenAlex

The γ-retroviral vector is a gene delivery vehicle that is commonly used in gene therapy. Despite its efficacy, its strong enhancers contributed to malignant transformations in some hematopoietic stem cell (HSC) gene therapy trials. A safer version without viral enhancers (SIN) is available, but its production is cumbersome, as high titers can only be obtained in transient transfection. Our aim was to develop a system that could easily generate high-titer SIN vectors from stable producer cells. The use of the cytomegalovirus enhancer-promoter sequence to generate the full-length genomic RNA combined to sequences that decrease transcriptional readthrough (WPRE and strong polyadenylation sequences) led to 6 × 106 infectious units (IU)/mL of a SIN GFP vector in transient transfection. The incorporation of a blasticidin selection cassette to the retroviral plasmid allowed the generation of stable clones in the 293Vec packaging cells that release 2 × 107 IU/mL and 1.4 × 107 IU/mL of a SIN GFP and a SIN PIGA vector, respectively. A titer of 1.8 × 106 IU/mL was obtained with a SIN vector containing the long 8.9-kb COL7A1 cDNA. Thus, an efficient process was established for the generation of stable 293Vec-derived retrovirus producer cells that release high-titer SIN vectors. The γ-retroviral vector is a gene delivery vehicle that is commonly used in gene therapy. Despite its efficacy, its strong enhancers contributed to malignant transformations in some hematopoietic stem cell (HSC) gene therapy trials. A safer version without viral enhancers (SIN) is available, but its production is cumbersome, as high titers can only be obtained in transient transfection. Our aim was to develop a system that could easily generate high-titer SIN vectors from stable producer cells. The use of the cytomegalovirus enhancer-promoter sequence to generate the full-length genomic RNA combined to sequences that decrease transcriptional readthrough (WPRE and strong polyadenylation sequences) led to 6 × 106 infectious units (IU)/mL of a SIN GFP vector in transient transfection. The incorporation of a blasticidin selection cassette to the retroviral plasmid allowed the generation of stable clones in the 293Vec packaging cells that release 2 × 107 IU/mL and 1.4 × 107 IU/mL of a SIN GFP and a SIN PIGA vector, respectively. A titer of 1.8 × 106 IU/mL was obtained with a SIN vector containing the long 8.9-kb COL7A1 cDNA. Thus, an efficient process was established for the generation of stable 293Vec-derived retrovirus producer cells that release high-titer SIN vectors.

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.

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)0.003
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 score0.230
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.074
GPT teacher head0.416
Teacher spread0.343 · 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