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Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609815/ https://www.ncbi.nlm.nih.gov/pubmed/36298794 http://dx.doi.org/10.3390/v14102238 |
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author | Silvano, Marco Correia, Ricardo Virgolini, Nikolaus Clarke, Colin Alves, Paula M. Isidro, Inês A. Roldão, António |
author_facet | Silvano, Marco Correia, Ricardo Virgolini, Nikolaus Clarke, Colin Alves, Paula M. Isidro, Inês A. Roldão, António |
author_sort | Silvano, Marco |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9609815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96098152022-10-28 Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing Silvano, Marco Correia, Ricardo Virgolini, Nikolaus Clarke, Colin Alves, Paula M. Isidro, Inês A. Roldão, António Viruses Article 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. MDPI 2022-10-12 /pmc/articles/PMC9609815/ /pubmed/36298794 http://dx.doi.org/10.3390/v14102238 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Silvano, Marco Correia, Ricardo Virgolini, Nikolaus Clarke, Colin Alves, Paula M. Isidro, Inês A. Roldão, António Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing |
title | Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing |
title_full | Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing |
title_fullStr | Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing |
title_full_unstemmed | Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing |
title_short | Gene Expression Analysis of Adapted Insect Cells during Influenza VLP Production Using RNA-Sequencing |
title_sort | gene expression analysis of adapted insect cells during influenza vlp production using rna-sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609815/ https://www.ncbi.nlm.nih.gov/pubmed/36298794 http://dx.doi.org/10.3390/v14102238 |
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