Lipidomic profiling of influenza A virus production in MDCK cells towards targeted clone selection

High-yield influenza virus production is essential for efficient vaccine manufacturing to support global demands. Using Madin-Darby canine kidney (MDCK) cells to produce influenza viruses is an attractive alternative to the conventional method of manufacturing vaccines using embryonated eggs. MDCK cells exhibit heterogeneity which can impact viral yields. However, the factors driving the variation between MDCK cells are not fully understood. Utilizing an untargeted liquid chromatography-mass spectrometry lipidomic approach, we investigated two proprietary MDCK clones (C59 and C113) provided by Sartorius (Germany) that differ in biochemical and viral production properties and examined their lipid profiles and dynamics upon influenza A virus (IAV) infection between 24 and 72 h. C113, a high-yield clone, displayed elevated levels across all lipid classes, aside from ether lipids compared to C59, a clone with superior growth properties. IAV infection in clone C59 and C113 displayed key differences, specifically triacylglycerols. Analysis of progeny virions from C59 and C113 clones revealed subtle differences with a positive correlation in lipid profile (R<sup>2</sup> = 0.77), suggesting similar lipid raft domains between clones. Overall, these findings highlight specific cellular lipid signatures associated with high-yield production and demonstrate the value of integrating lipidomics methods into biomanufacturing pipelines, providing complimentary quality assurance markers.

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Publication Details

Journal
Scientific Reports
Published
2026-01-07
DOI
https://doi.org/10.1038/s41598-025-33499-1
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Lipidomic profiling of influenza A virus production in MDCK cells towards targeted clone selection

Cameron Roberts, Jeffrey C. Smith, Diallo Jean-Simon, Christopher N. Boddy et al.
Scientific Reports
Influenza Virus Research Studies
article

Lipidomic profiling of influenza A virus production in MDCK cells towards targeted clone selection

Cameron Roberts, Jeffrey C. Smith, Diallo Jean-Simon, Christopher N. Boddy, J. Ménard, Elena Godbout, A Chen, Udo Reichl, Yvonne Genzel, Rozanne Arulanandam, Tilia Zinnecker, Anne Landry
article en

Abstract

High-yield influenza virus production is essential for efficient vaccine manufacturing to support global demands. Using Madin-Darby canine kidney (MDCK) cells to produce influenza viruses is an attractive alternative to the conventional method of manufacturing vaccines using embryonated eggs. MDCK cells exhibit heterogeneity which can impact viral yields. However, the factors driving the variation between MDCK cells are not fully understood. Utilizing an untargeted liquid chromatography-mass spectrometry lipidomic approach, we investigated two proprietary MDCK clones (C59 and C113) provided by Sartorius (Germany) that differ in biochemical and viral production properties and examined their lipid profiles and dynamics upon influenza A virus (IAV) infection between 24 and 72 h. C113, a high-yield clone, displayed elevated levels across all lipid classes, aside from ether lipids compared to C59, a clone with superior growth properties. IAV infection in clone C59 and C113 displayed key differences, specifically triacylglycerols. Analysis of progeny virions from C59 and C113 clones revealed subtle differences with a positive correlation in lipid profile (R<sup>2</sup> = 0.77), suggesting similar lipid raft domains between clones. Overall, these findings highlight specific cellular lipid signatures associated with high-yield production and demonstrate the value of integrating lipidomics methods into biomanufacturing pipelines, providing complimentary quality assurance markers.

Scientific ReportsVol. 16(1)
University of Ottawa (CA), Ottawa Hospital (CA), Max Planck Institute for Dynamics of Complex Technical Systems (DE), Ottawa Hospital Research Institute (CA), Carleton University (CA), Otto-von-Guericke-Universität Magdeburg (DE)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 97%
Influenza Virus Research Studies
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