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Record W7057362303

Improving adeno-associated virus serotype 6 production and transduction for gene delivery and CAR T-cell therapy

2023· dissertation· en· W7057362303 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersFonds de recherche du Québec – Nature et technologiesFonds de Recherche du Québec - Santé
KeywordsTransduction (biophysics)Gene deliveryGenetic enhancementVirusGeneSerotype
DOInot available

Abstract

fetched live from OpenAlex

Chimeric antigen receptor (CAR)-T cell therapy is a promising immunotherapy that involves engineering T cells by adding a CAR to their surface to specifically target and "destroy" tumour cells.Adeno-associated viruses (AAVs) are well-suited for this application as they can deliver a DNA template for the knock-in of a transgene via homologous recombination with high efficiency.With the growing interest in immunotherapy, there is an increasing demand for AAV serotype 6 (AAV6), the serotype with the highest tropism for immune cells.However, the current limitations in AAV6 production and transduction pose significant challenges to effectively using this serotype in therapy.In this thesis, I aimed to improve the production and transduction capacity of AAV6 and to use this vector for site-specific integration of CAR into T cells.One of the significant limitations in AAV manufacturing is low-cell-density production.This is due to the Cell Density Effect, which limits the potential of suspension cell-based platforms to increase yields.We investigated the improvement of AAV6 production by transient transfection of suspension-adapted HEK293SF cells.We found that by providing plasmid DNA on a cell basis and at a medium cell density of 4 million cells per mL, we achieved titers above 10 10 viral genomes (VG)/mL, a significant increase compared to established methods.This medium-cell-density production method, validated in a 3-L bioreactor scale, lays the foundation for large-scale process operations, potentially solving the current vector shortage in AAV manufacturing.Another significant challenge in AAV transduction is the large number of AAV6 required for effective transduction, estimated at 10 6 viral genomes per cell.We evaluated the use of cellpenetrating peptides to enhance the transduction of AAV6 into T cells.We found that the peptides TAT-HA2 and LAH4 significantly improved the transduction efficiency, with LAH4 resulting in a 10-fold increase at the lowest multiplicity of infection tested.This approach could be further developed to improve the transduction of AAVs into other cell types.

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)0.000
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: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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