Skip to main navigation Skip to search Skip to main content

Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing

Marco Silvano, Ricardo Correia, Nikolaus Virgolini, Colin Clarke, Paula M. Alves, Inês A. Isidro, António Roldão

Research output: Contribution to journal › Article › peer-review

Abstract

Adaptive laboratory evolution has been used to improve production of influenza hemagglutinin (HA)-displaying virus-like particles (VLPs) in insect cells. However, little is known about the underlying biological mechanisms promoting higher HA-VLP expression in such adapted cell lines. In this article, we present a study of gene expression patterns associated with high-producer insect High Five cells adapted to neutral pH, in comparison to non-adapted cells, during expression of influenza HA-VLPs. RNA-seq shows a decrease in the amount of reads mapping to host cell genomes along infection, and an increase in those mapping to baculovirus and transgenes. A total of 1742 host cell genes were found differentially expressed between adapted and non-adapted cells throughout infection, 474 of those being either up- or down-regulated at both time points evaluated (12 and 24 h post-infection). Interestingly, while host cell genes were found up- and down-regulated in an approximately 1:1 ratio, all differentially expressed baculovirus genes were found to be down-regulated in infected adapted cells. Pathway analysis of differentially expressed genes revealed enrichment of ribosome biosynthesis and carbohydrate, amino acid, and lipid metabolism. In addition, oxidative phosphorylation and protein folding, sorting and degradation pathways were also found to be overrepresented. These findings contribute to our knowledge of biological mechanisms of insect cells during baculovirus-mediated transient expression and will assist the identification of potential engineering targets to increase recombinant protein production in the future.

Original languageEnglish
Article number2238
JournalViruses
Volume14
Issue number10
DOIs
Publication statusPublished - Oct 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • baculovirus expression system
  • influenza VLP
  • insect cells
  • pathway analysis
  • RNA sequencing

Fingerprint

Dive into the research topics of 'Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing'. Together they form a unique fingerprint.

Cite this