Comprehensive untargeted lipidomic profiling of third generation lentiviral vectors and packaging cells

Abstract

Lentiviral vectors (LV) are emerging tools for genetic therapies and novel cancer treatments. While effective, LV-based therapies have extremely large costs associated with their manufacturing and delivery. LV technology descends from human immunodeficiency virus (HIV), whose lipid envelope has been previously measured and shown to have a direct impact on its transduction efficiency. We developed a rapid, robust, and sensitive untargeted lipidomics pipeline to analyze novel LV biotherapeutic products and demonstrate its utility on HEK 293T packaging cells and concentrated culture media containing LV. The impact of 48 hours of LV production on the lipidome of HEK 293T cells was measured and compared to the expression of vesicular stomatitis virus G protein (VSV G) over the same timeframe. 151 lipids were identified in HEK 293T packaging cells, 84 of which had fold changes with FDR-corrected P < 0.05 compared to HEK 293T treated with media. It was found that fold changes with FDR-adjusted P < 0.05 after VSV G expression and LV production were highly correlated (R2 = 0.89). Concentrating LV in culture media led to the identification of 102 lipids, half of which were determined to be unique LV virion lipids after subtracting the media lipidome. Our approach can be readily used to study the lipid dynamics of large-scale LV production and be rapidly translated into targeted methods to quantify individual lipid components or applied to other viral vector platforms.

Graphical abstract: Comprehensive untargeted lipidomic profiling of third generation lentiviral vectors and packaging cells

Supplementary files

Article information

Article type
Research Article
Submitted
22 Mar 2024
Accepted
24 Sep 2024
First published
01 Oct 2024

Mol. Omics, 2024, Advance Article

Comprehensive untargeted lipidomic profiling of third generation lentiviral vectors and packaging cells

J. A. Roberts, E. Godbout, J. A. Menard, C. N. Boddy, J. Diallo and J. C. Smith, Mol. Omics, 2024, Advance Article , DOI: 10.1039/D4MO00052H

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