A novel system for glycosylation engineering by natural and artificial miRNAs.
Biopharmaceuticals
CHO
GlycomiRs
Glycosylation engineering
microRNA
Journal
Metabolic engineering
ISSN: 1096-7184
Titre abrégé: Metab Eng
Pays: Belgium
ID NLM: 9815657
Informations de publication
Date de publication:
05 2023
05 2023
Historique:
received:
25
06
2022
revised:
19
12
2022
accepted:
05
03
2023
medline:
16
5
2023
pubmed:
12
3
2023
entrez:
11
3
2023
Statut:
ppublish
Résumé
N-linked glycosylation is a crucial post-translational modification of many biopharmaceuticals, including monoclonal antibodies (mAbs), capable of modifying their biological effect in patients and thus considered as a critical quality attribute (CQA). However, expression of desired and consistent glycosylation patterns remains a constant challenge for the biopharmaceutical industry and constitutes the need for tools to engineer glycosylation. Small non-coding microRNAs (miRNAs) are known regulators of entire gene networks and have therefore the potential of being used as tools for modulation of glycosylation pathways and for glycoengineering. Here, we demonstrate that novel identified natural miRNAs are capable of altering N-linked glycosylation patterns on mAbs expressed in Chinese hamster ovary (CHO) cells. We established a workflow for a functional high-throughput screening of a complete miRNA mimic library and identified 82 miRNA sequences affecting various moieties including galactosylation, sialylation, and α-1,6 linked core-fucosylation, an important glycan feature influencing antibody-dependent cytotoxicity (ADCC). Subsequent validation shed light on the intra-cellular mode of action and the impact on the cellular fucosylation pathway of miRNAs reducing core-fucosylation. While multiplex approaches increased phenotypic effects on the glycan structure, a synthetic biology approach utilizing rational design of artificial miRNAs further enhanced the potential of miRNAs as novel, versatile and tune-able tools for engineering of N-linked glycosylation pathways and expressed glycosylation patterns towards favourable phenotypes.
Identifiants
pubmed: 36906118
pii: S1096-7176(23)00043-5
doi: 10.1016/j.ymben.2023.03.004
pii:
doi:
Substances chimiques
MicroRNAs
0
Antibodies, Monoclonal
0
Polysaccharides
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
53-63Informations de copyright
Copyright © 2023 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.