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Related Concept Videos

Vector Product (Cross Product)01:17

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Series R—L Circuit Transients01:22

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Related Experiment Video

Updated: Jan 25, 2026

A Protocol for the Production of Integrase-deficient Lentiviral Vectors for CRISPR/Cas9-mediated Gene Knockout in Dividing Cells
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Transient Lentiviral Vector Production Using a Packed-Bed Bioreactor System.

Alexandra McCarron1,2,3, Martin Donnelley1,2,3, Chantelle McIntyre1,4

  • 11 Adelaide Medical School, SA Pathology, Women's and Children's Hospital, Adelaide, Australia.

Human Gene Therapy Methods
|May 16, 2019
PubMed
Summary
This summary is machine-generated.

Scalable lentiviral vector (LV) manufacturing is crucial for gene therapies. This study shows a packed-bed bioreactor can achieve high LV titers, offering a potential scale-out solution for production.

Keywords:
Fibra-Cel disksHEK 293Tlentiviral vectorpacked-bed bioreactortransient transfection

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Area of Science:

  • Biotechnology
  • Bioprocessing
  • Gene Therapy Manufacturing

Background:

  • Scalable lentiviral vector (LV) manufacturing is essential for the commercialization of gene and cell therapies.
  • Current upstream production methods face bottlenecks, driving the need for advanced manufacturing technologies.

Purpose of the Study:

  • To evaluate a transient LV production strategy using a single-use, packed-bed bioreactor.
  • To assess the feasibility of packed-bed bioreactors as a scalable solution for LV manufacturing.

Main Methods:

  • Transient lentiviral vector production was performed in a single-use, packed-bed bioreactor.
  • Titer analysis was conducted to quantify functional LV yields.

Main Results:

  • Functional LV titers reached the 10^6 TU/mL range.
  • Concentrated yields achieved up to 10^9 TU/mL.
  • Demonstrated successful LV production in a packed-bed system.

Conclusions:

  • A packed-bed bioreactor system is a viable method for lentiviral vector production.
  • This technology offers a potential scale-out solution for manufacturing LV-based therapeutics.
  • Further optimization could enhance the efficiency of this bioprocessing approach.