Nature as blueprint: Global phenotype engineering of CHO production cells based on a multi-omics comparison with plasma cells.
Biotechnology
CHO
Cell line engineering
Cross-species
Omics
Plasma cells
Proteome
Transcriptome
Journal
Metabolic engineering
ISSN: 1096-7184
Titre abrégé: Metab Eng
Pays: Belgium
ID NLM: 9815657
Informations de publication
Date de publication:
30 Mar 2024
30 Mar 2024
Historique:
received:
03
02
2023
revised:
17
03
2024
accepted:
29
03
2024
medline:
2
4
2024
pubmed:
2
4
2024
entrez:
1
4
2024
Statut:
aheadofprint
Résumé
Especially for the production of artificial, difficult to express molecules a further development of the CHO production cell line is required to keep pace with the continuously increasing demands. However, the identification of novel targets for cell line engineering to improve CHO cells is a time and cost intensive process. Since plasma cells are evolutionary optimized for a high antibody expression in mammals, we performed a comprehensive multi-omics comparison between CHO and plasma cells to exploit optimized cellular production traits. Comparing the transcriptome, proteome, miRNome, surfaceome and secretome of both cell lines identified key differences including 392 potential overexpression targets for CHO cell engineering categorized in 15 functional classes like transcription factors, protein processing or secretory pathway. In addition, 3 protein classes including 209 potential knock-down/out targets for CHO engineering were determined likely to affect aggregation or proteolysis. For production phenotype engineering, several of these novel targets were successfully applied to transient and transposase mediated overexpression or knock-down strategies to efficiently improve productivity of CHO cells. Thus, substantial improvement of CHO productivity was achieved by taking nature as a blueprint for cell line engineering.
Identifiants
pubmed: 38561148
pii: S1096-7176(24)00052-1
doi: 10.1016/j.ymben.2024.03.007
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2024. Published by Elsevier Inc.