Anglia Ruskin Research Online (ARRO)
Browse

Analysis of HIV-1-Based Lentiviral Vector Particle Composition by PacBio Long-Read Nucleic Acid Sequencing

Download (1.03 MB)
journal contribution
posted on 2025-02-27, 15:11 authored by Saqlain Suleman, Mohammad S Khalifa, Serena Fawaz, Sharmin Alhaque, Yaghoub Chinea, Michael Themis
Lentivirus (LV) vectors offer permanent delivery of therapeutic genes to the host through an RNA intermediate genome. They are one of the most commonly used vectors for clinical gene therapy of inherited disorders such as immune deficiencies and cancer immunotherapy. One of the most difficult challenges facing their widespread application to patients is the large-scale production of highly pure vector stocks. To improve vector production and downstream purification, there has been a recent investment in the United Kingdom to establish good manufacturing process (GMP)-licensed centers for manufacture and quality control. Other requirements for these vectors include their target cell specificity and tropism, how to regulate gene expression of the therapeutic payload and their potential side effects. Comprehensive detail on the full nucleic acid content of LV is unknown, even though they have entered clinical trials. With potential adverse effects in mind, it is important to identify these contents to assess their safety and purity. In this study, we used highly sensitive PacBio long-distance, next-generation sequencing of reverse-transcribed vector component RNA to investigate the nucleic acid composition of recombinant HIV-1 particles generated by human 293T packaging cells. In this article, we describe our findings of nucleic acids other than the recombinant vector genome that exist, which could potentially be delivered during gene transfer, and suggest that removal of these unwanted components be considered before clinical LV application.

History

Refereed

  • Yes

Publication title

Human Gene Therapy

ISSN

1043-0342

Publisher

Mary Ann Liebert Inc

Location

United States

File version

  • Published version

Language

  • eng

Item sub-type

Journal Article

Affiliated with

  • School of Life Sciences Outputs

Usage metrics

    ARU Outputs

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC