Meta-analysis of RNA-Seq datasets allows a better understanding of P. tricornutum cellular biology, a requirement to improve the production of Biologics

Abstract The marine diatom Phaeodactylum tricornutum is currently used for various industrial applications, including the pharmaceutical industry as a cost-effective cell biofactory to produce Biologics. Recent studies demonstrated that P. tricornutum can produce functional monoclonal antibodies, su...

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Main Authors: Isabelle Boulogne, Charlotte Toustou, Muriel Bardor
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-87620-5
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author Isabelle Boulogne
Charlotte Toustou
Muriel Bardor
author_facet Isabelle Boulogne
Charlotte Toustou
Muriel Bardor
author_sort Isabelle Boulogne
collection DOAJ
description Abstract The marine diatom Phaeodactylum tricornutum is currently used for various industrial applications, including the pharmaceutical industry as a cost-effective cell biofactory to produce Biologics. Recent studies demonstrated that P. tricornutum can produce functional monoclonal antibodies, such application is currently limited by the production yield that hinders industrialization. Therefore, it is necessary to understand and control the cell biology of P. tricornutum to improve the Biologics production yield. Transcriptomic analyses have recently been used by the pharmaceutical industry to improve the production of Biologics in mammalian cells, especially Biologics titer and cell productivity. Hence, in the present work, we performed a meta-analysis of seven publicly available RNA-Seq datasets from different strains of P. tricornutum, for which the culture conditions were chosen as similar as possible. We analyzed the differential expression of genes that are involved in biological processes that are well known to potentially impact the bioproduction and critical quality attributes of Biologics. Therefore, the expression of genes involved in the N-glycan biosynthesis, protein export and secretion, protein quality control and proteasome, as well as those encoding proteases were analyzed and compared. The results pave the way towards optimizing Biologics production in P. tricornutum and highlight that the Pt4, Pt3 Ov and Pt8 strains seem to be the most promising P. tricornutum strains.
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spelling doaj-art-b1a641fea51a4053b46f53a07cc8dee22025-02-02T12:18:38ZengNature PortfolioScientific Reports2045-23222025-01-0115111510.1038/s41598-025-87620-5Meta-analysis of RNA-Seq datasets allows a better understanding of P. tricornutum cellular biology, a requirement to improve the production of BiologicsIsabelle Boulogne0Charlotte Toustou1Muriel Bardor2University of Rouen Normandie, UNIROUEN, UFR des Sciences et Techniques, GlycoMEV UR4358, Innovation Chimie Carnot, Fédération de Recherche Normandie-Végétal FED 4277University of Rouen Normandie, UNIROUEN, UFR des Sciences et Techniques, GlycoMEV UR4358, Innovation Chimie Carnot, Fédération de Recherche Normandie-Végétal FED 4277University of Rouen Normandie, UNIROUEN, UFR des Sciences et Techniques, GlycoMEV UR4358, Innovation Chimie Carnot, Fédération de Recherche Normandie-Végétal FED 4277Abstract The marine diatom Phaeodactylum tricornutum is currently used for various industrial applications, including the pharmaceutical industry as a cost-effective cell biofactory to produce Biologics. Recent studies demonstrated that P. tricornutum can produce functional monoclonal antibodies, such application is currently limited by the production yield that hinders industrialization. Therefore, it is necessary to understand and control the cell biology of P. tricornutum to improve the Biologics production yield. Transcriptomic analyses have recently been used by the pharmaceutical industry to improve the production of Biologics in mammalian cells, especially Biologics titer and cell productivity. Hence, in the present work, we performed a meta-analysis of seven publicly available RNA-Seq datasets from different strains of P. tricornutum, for which the culture conditions were chosen as similar as possible. We analyzed the differential expression of genes that are involved in biological processes that are well known to potentially impact the bioproduction and critical quality attributes of Biologics. Therefore, the expression of genes involved in the N-glycan biosynthesis, protein export and secretion, protein quality control and proteasome, as well as those encoding proteases were analyzed and compared. The results pave the way towards optimizing Biologics production in P. tricornutum and highlight that the Pt4, Pt3 Ov and Pt8 strains seem to be the most promising P. tricornutum strains.https://doi.org/10.1038/s41598-025-87620-5Meta-analysisP. tricornutumBioproductionBiologicsGlycosylation
spellingShingle Isabelle Boulogne
Charlotte Toustou
Muriel Bardor
Meta-analysis of RNA-Seq datasets allows a better understanding of P. tricornutum cellular biology, a requirement to improve the production of Biologics
Scientific Reports
Meta-analysis
P. tricornutum
Bioproduction
Biologics
Glycosylation
title Meta-analysis of RNA-Seq datasets allows a better understanding of P. tricornutum cellular biology, a requirement to improve the production of Biologics
title_full Meta-analysis of RNA-Seq datasets allows a better understanding of P. tricornutum cellular biology, a requirement to improve the production of Biologics
title_fullStr Meta-analysis of RNA-Seq datasets allows a better understanding of P. tricornutum cellular biology, a requirement to improve the production of Biologics
title_full_unstemmed Meta-analysis of RNA-Seq datasets allows a better understanding of P. tricornutum cellular biology, a requirement to improve the production of Biologics
title_short Meta-analysis of RNA-Seq datasets allows a better understanding of P. tricornutum cellular biology, a requirement to improve the production of Biologics
title_sort meta analysis of rna seq datasets allows a better understanding of p tricornutum cellular biology a requirement to improve the production of biologics
topic Meta-analysis
P. tricornutum
Bioproduction
Biologics
Glycosylation
url https://doi.org/10.1038/s41598-025-87620-5
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